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Jamie Liu Hong Kong will host global forums on artificial intelligence and robotics this year to promote innovative technologies and deepen the city's international exchanges, according to Financial Secretary Paul Chan Mo-po. In a recent blog post, Chan placed emphasis on three fronts: expediting the development of innovative technologies, using new methods to boost consumption, and deepening cooperation and exchanges with the global community. Pointing to his proposals in the latest government budget, Chan said Hong Kong will host the first International Young Scientist Forum on AI and the World Robot Conference. "This will gather the pioneers in the field [of AI], promoting Hong Kong to become a hub for exchanges and collaborations in the AI industries," Chan wrote. Chan pledged to ramp up support and investment into scientific research, attract tech giants to open offices in Hong Kong, and nurture tech start-ups. A special channel for listing in the city will be set up for tech firms. The finance chief also called for new methods to boost consumption and stressed the need for "new experiences" in culture, sports and tourism, coupled with digital marketing. "How Hong Kong takes advantage of its unique East-meets-West characteristics, provides new experiences for consumers, will be the key to maintain competitiveness and propelling future developments," Chan said. Meanwhile, the financial secretary is set to attend a ceremony today to mark a HK$200 million donation to a government-backed joint-university collaborative venture on generative AI research. The Ng Teng Fong Charitable Foundation and Sino Group will be donating HK$200 million to the Hong Kong Generative AI Research and Development Center under the InnoHK Research Clusters.
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Jamie Liu Hong Kong will host global forums on artificial intelligence and robotics this year to promote innovative technologies and deepen the city's international exchanges, according to Financial Secretary Paul Chan Mo-po. In a recent blog post, Chan placed emphasis on three fronts: expediting the development of innovative technologies, using new methods to boost consumption, and deepening cooperation and exchanges with the global community. Pointing to his proposals in the latest government budget, Chan said Hong Kong will host the first International Young Scientist Forum on AI and the World Robot Conference. "This will gather the pioneers in the field [of AI], promoting Hong Kong to become a hub for exchanges and collaborations in the AI industries," Chan wrote. Chan pledged to ramp up support and investment into scientific research, attract tech giants to open offices in Hong Kong, and nurture tech start-ups. A special channel for listing in the city will be set up for tech firms. The finance chief also called for new methods to boost consumption and stressed the need for "new experiences" in culture, sports and tourism, coupled with digital marketing. "How Hong Kong takes advantage of its unique East-meets-West characteristics, provides new experiences for consumers, will be the key to maintain competitiveness and propelling future developments," Chan said. Meanwhile, the financial secretary is set to attend a ceremony today to mark a HK$200 million donation to a government-backed joint-university collaborative venture on generative AI research. The Ng Teng Fong Charitable Foundation and Sino Group will be donating HK$200 million to the Hong Kong Generative AI Research and Development Center under the InnoHK Research Clusters.
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Jamie Liu Hong Kong will host global forums on artificial intelligence and robotics this year to promote innovative technologies and deepen the city's international exchanges, according to Financial Secretary Paul Chan Mo-po. In a recent blog post, Chan placed emphasis on three fronts: expediting the development of innovative technologies, using new methods to boost consumption, and deepening cooperation and exchanges with the global community. Pointing to his proposals in the latest government budget, Chan said Hong Kong will host the first International Young Scientist Forum on AI and the World Robot Conference. "This will gather the pioneers in the field [of AI], promoting Hong Kong to become a hub for exchanges and collaborations in the AI industries," Chan wrote. Chan pledged to ramp up support and investment into scientific research, attract tech giants to open offices in Hong Kong, and nurture tech start-ups. A special channel for listing in the city will be set up for tech firms. The finance chief also called for new methods to boost consumption and stressed the need for "new experiences" in culture, sports and tourism, coupled with digital marketing. "How Hong Kong takes advantage of its unique East-meets-West characteristics, provides new experiences for consumers, will be the key to maintain competitiveness and propelling future developments," Chan said. Meanwhile, the financial secretary is set to attend a ceremony today to mark a HK$200 million donation to a government-backed joint-university collaborative venture on generative AI research. The Ng Teng Fong Charitable Foundation and Sino Group will be donating HK$200 million to the Hong Kong Generative AI Research and Development Center under the InnoHK Research Clusters.
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Jamie Liu Hong Kong will host global forums on artificial intelligence and robotics this year to promote innovative technologies and deepen the city's international exchanges, according to Financial Secretary Paul Chan Mo-po. In a recent blog post, Chan placed emphasis on three fronts: expediting the development of innovative technologies, using new methods to boost consumption, and deepening cooperation and exchanges with the global community. Pointing to his proposals in the latest government budget, Chan said Hong Kong will host the first International Young Scientist Forum on AI and the World Robot Conference. "This will gather the pioneers in the field [of AI], promoting Hong Kong to become a hub for exchanges and collaborations in the AI industries," Chan wrote. Chan pledged to ramp up support and investment into scientific research, attract tech giants to open offices in Hong Kong, and nurture tech start-ups. A special channel for listing in the city will be set up for tech firms. The finance chief also called for new methods to boost consumption and stressed the need for "new experiences" in culture, sports and tourism, coupled with digital marketing. "How Hong Kong takes advantage of its unique East-meets-West characteristics, provides new experiences for consumers, will be the key to maintain competitiveness and propelling future developments," Chan said. Meanwhile, the financial secretary is set to attend a ceremony today to mark a HK$200 million donation to a government-backed joint-university collaborative venture on generative AI research. The Ng Teng Fong Charitable Foundation and Sino Group will be donating HK$200 million to the Hong Kong Generative AI Research and Development Center under the InnoHK Research Clusters.
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Jamie Liu Hong Kong will host global forums on artificial intelligence and robotics this year to promote innovative technologies and deepen the city's international exchanges, according to Financial Secretary Paul Chan Mo-po. In a recent blog post, Chan placed emphasis on three fronts: expediting the development of innovative technologies, using new methods to boost consumption, and deepening cooperation and exchanges with the global community. Pointing to his proposals in the latest government budget, Chan said Hong Kong will host the first International Young Scientist Forum on AI and the World Robot Conference. "This will gather the pioneers in the field [of AI], promoting Hong Kong to become a hub for exchanges and collaborations in the AI industries," Chan wrote. Chan pledged to ramp up support and investment into scientific research, attract tech giants to open offices in Hong Kong, and nurture tech start-ups. A special channel for listing in the city will be set up for tech firms. The finance chief also called for new methods to boost consumption and stressed the need for "new experiences" in culture, sports and tourism, coupled with digital marketing. "How Hong Kong takes advantage of its unique East-meets-West characteristics, provides new experiences for consumers, will be the key to maintain competitiveness and propelling future developments," Chan said. Meanwhile, the financial secretary is set to attend a ceremony today to mark a HK$200 million donation to a government-backed joint-university collaborative venture on generative AI research. The Ng Teng Fong Charitable Foundation and Sino Group will be donating HK$200 million to the Hong Kong Generative AI Research and Development Center under the InnoHK Research Clusters.
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Help Us Create the Content You Love Take Survey Now! Enjoyed reading The Bridge Chronicle? Your support motivates us to do better. Follow us on Facebook, Instagram, Twitter and Whatsapp to stay updated with the latest stories. You can also read on the go with our Android and iOS mobile app.
5
Help Us Create the Content You Love Take Survey Now! Enjoyed reading The Bridge Chronicle? Your support motivates us to do better. Follow us on Facebook, Instagram, Twitter and Whatsapp to stay updated with the latest stories. You can also read on the go with our Android and iOS mobile app.
5
Help Us Create the Content You Love Take Survey Now! Enjoyed reading The Bridge Chronicle? Your support motivates us to do better. Follow us on Facebook, Instagram, Twitter and Whatsapp to stay updated with the latest stories. You can also read on the go with our Android and iOS mobile app.
5
Help Us Create the Content You Love Take Survey Now! Enjoyed reading The Bridge Chronicle? Your support motivates us to do better. Follow us on Facebook, Instagram, Twitter and Whatsapp to stay updated with the latest stories. You can also read on the go with our Android and iOS mobile app.
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ChatGPT-maker OpenAI is reportedly planning to launch a series of AI agents with their prices as high as $20,000 per month, according to a report published by The Information. The most expensive AI agent is expected to support PhD-level research. Other artificial intelligence agents are designed for various tasks, including software engineering, high-level research, and sorting and ranking sales leads.
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ChatGPT-maker OpenAI is reportedly planning to launch a series of AI agents with their prices as high as $20,000 per month, according to a report published by The Information. The most expensive AI agent is expected to support PhD-level research. Other artificial intelligence agents are designed for various tasks, including software engineering, high-level research, and sorting and ranking sales leads.
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ChatGPT-maker OpenAI is reportedly planning to launch a series of AI agents with their prices as high as $20,000 per month, according to a report published by The Information. The most expensive AI agent is expected to support PhD-level research. Other artificial intelligence agents are designed for various tasks, including software engineering, high-level research, and sorting and ranking sales leads.
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ChatGPT-maker OpenAI is reportedly planning to launch a series of AI agents with their prices as high as $20,000 per month, according to a report published by The Information. The most expensive AI agent is expected to support PhD-level research. Other artificial intelligence agents are designed for various tasks, including software engineering, high-level research, and sorting and ranking sales leads.
5
ChatGPT-maker OpenAI is reportedly planning to launch a series of AI agents with their prices as high as $20,000 per month, according to a report published by The Information. The most expensive AI agent is expected to support PhD-level research. Other artificial intelligence agents are designed for various tasks, including software engineering, high-level research, and sorting and ranking sales leads.
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Even though China is doing well, it still has some problems. Talent Drain: Many of the best AI researchers still prefer to work in the US at places like Google or OpenAI . Intellectual Property: While China has many patents, the quality of its patents is often questioned. The US still leads in this area. Geopolitical Issues: There are tensions between China and the US, making it hard for them to share ideas, resources, and talent. This slows down AI development.
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Even though China is doing well, it still has some problems. Talent Drain: Many of the best AI researchers still prefer to work in the US at places like Google or OpenAI . Intellectual Property: While China has many patents, the quality of its patents is often questioned. The US still leads in this area. Geopolitical Issues: There are tensions between China and the US, making it hard for them to share ideas, resources, and talent. This slows down AI development.
5
Even though China is doing well, it still has some problems. Talent Drain: Many of the best AI researchers still prefer to work in the US at places like Google or OpenAI . Intellectual Property: While China has many patents, the quality of its patents is often questioned. The US still leads in this area. Geopolitical Issues: There are tensions between China and the US, making it hard for them to share ideas, resources, and talent. This slows down AI development.
5
Even though China is doing well, it still has some problems. Talent Drain: Many of the best AI researchers still prefer to work in the US at places like Google or OpenAI . Intellectual Property: While China has many patents, the quality of its patents is often questioned. The US still leads in this area. Geopolitical Issues: There are tensions between China and the US, making it hard for them to share ideas, resources, and talent. This slows down AI development.
5
Even though China is doing well, it still has some problems. Talent Drain: Many of the best AI researchers still prefer to work in the US at places like Google or OpenAI . Intellectual Property: While China has many patents, the quality of its patents is often questioned. The US still leads in this area. Geopolitical Issues: There are tensions between China and the US, making it hard for them to share ideas, resources, and talent. This slows down AI development.
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Prime Minister Narendra Modi, in a post-budget webinar on employment held via video conferencing on Wednesday, outlined a comprehensive vision for India’s economic and technological growth. He emphasized the role of artificial intelligence (AI), research, and urban planning in driving the country’s progress and highlighted key budgetary allocations aimed at fostering innovation and strengthening India’s position in emerging technologies. PM Modi described AI as a major force capable of adding trillions of rupees to the economy. To accelerate AI development, the budget allocates ₹500 crore for AI-driven education and research, along with the launch of a National Large Language Model. “The world is searching for a safe, democratic, and reliable AI ecosystem, and India is well-positioned to lead this space,” he said, urging private sector participation in AI-driven solutions. India’s startup ecosystem, now the third-largest in the world, was another key focus. PM Modi announced a ₹1 lakh crore corpus fund to support deep-tech innovation and research. Additionally, he introduced 10,000 new research fellowships at IITs and IISc to nurture scientists and entrepreneurs. To preserve India’s historical and scientific heritage, the Prime Minister launched the Gyan Bharatam Mission, an initiative to digitize one crore ancient manuscripts and establish a National Digital Repository. For agricultural sustainability, he announced the creation of a National Gene Bank to preserve plant genetic resources, ensuring long-term food security and climate resilience. On the economic front, PM Modi cited an IMF report highlighting India’s growth. He said that between 2015 and 2025, the Indian economy expanded by 66%, reaching $3.8 trillion and surpassing several major global economies. “This pace of development is unprecedented, and the day is not far when India will become a $5 trillion economy,” he said, attributing the growth to strategic investments and policy reforms.
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Prime Minister Narendra Modi, in a post-budget webinar on employment held via video conferencing on Wednesday, outlined a comprehensive vision for India’s economic and technological growth. He emphasized the role of artificial intelligence (AI), research, and urban planning in driving the country’s progress and highlighted key budgetary allocations aimed at fostering innovation and strengthening India’s position in emerging technologies. PM Modi described AI as a major force capable of adding trillions of rupees to the economy. To accelerate AI development, the budget allocates ₹500 crore for AI-driven education and research, along with the launch of a National Large Language Model. “The world is searching for a safe, democratic, and reliable AI ecosystem, and India is well-positioned to lead this space,” he said, urging private sector participation in AI-driven solutions. India’s startup ecosystem, now the third-largest in the world, was another key focus. PM Modi announced a ₹1 lakh crore corpus fund to support deep-tech innovation and research. Additionally, he introduced 10,000 new research fellowships at IITs and IISc to nurture scientists and entrepreneurs. To preserve India’s historical and scientific heritage, the Prime Minister launched the Gyan Bharatam Mission, an initiative to digitize one crore ancient manuscripts and establish a National Digital Repository. For agricultural sustainability, he announced the creation of a National Gene Bank to preserve plant genetic resources, ensuring long-term food security and climate resilience. On the economic front, PM Modi cited an IMF report highlighting India’s growth. He said that between 2015 and 2025, the Indian economy expanded by 66%, reaching $3.8 trillion and surpassing several major global economies. “This pace of development is unprecedented, and the day is not far when India will become a $5 trillion economy,” he said, attributing the growth to strategic investments and policy reforms.
5
Prime Minister Narendra Modi, in a post-budget webinar on employment held via video conferencing on Wednesday, outlined a comprehensive vision for India’s economic and technological growth. He emphasized the role of artificial intelligence (AI), research, and urban planning in driving the country’s progress and highlighted key budgetary allocations aimed at fostering innovation and strengthening India’s position in emerging technologies. PM Modi described AI as a major force capable of adding trillions of rupees to the economy. To accelerate AI development, the budget allocates ₹500 crore for AI-driven education and research, along with the launch of a National Large Language Model. “The world is searching for a safe, democratic, and reliable AI ecosystem, and India is well-positioned to lead this space,” he said, urging private sector participation in AI-driven solutions. India’s startup ecosystem, now the third-largest in the world, was another key focus. PM Modi announced a ₹1 lakh crore corpus fund to support deep-tech innovation and research. Additionally, he introduced 10,000 new research fellowships at IITs and IISc to nurture scientists and entrepreneurs. To preserve India’s historical and scientific heritage, the Prime Minister launched the Gyan Bharatam Mission, an initiative to digitize one crore ancient manuscripts and establish a National Digital Repository. For agricultural sustainability, he announced the creation of a National Gene Bank to preserve plant genetic resources, ensuring long-term food security and climate resilience. On the economic front, PM Modi cited an IMF report highlighting India’s growth. He said that between 2015 and 2025, the Indian economy expanded by 66%, reaching $3.8 trillion and surpassing several major global economies. “This pace of development is unprecedented, and the day is not far when India will become a $5 trillion economy,” he said, attributing the growth to strategic investments and policy reforms.
5
Prime Minister Narendra Modi, in a post-budget webinar on employment held via video conferencing on Wednesday, outlined a comprehensive vision for India’s economic and technological growth. He emphasized the role of artificial intelligence (AI), research, and urban planning in driving the country’s progress and highlighted key budgetary allocations aimed at fostering innovation and strengthening India’s position in emerging technologies. PM Modi described AI as a major force capable of adding trillions of rupees to the economy. To accelerate AI development, the budget allocates ₹500 crore for AI-driven education and research, along with the launch of a National Large Language Model. “The world is searching for a safe, democratic, and reliable AI ecosystem, and India is well-positioned to lead this space,” he said, urging private sector participation in AI-driven solutions. India’s startup ecosystem, now the third-largest in the world, was another key focus. PM Modi announced a ₹1 lakh crore corpus fund to support deep-tech innovation and research. Additionally, he introduced 10,000 new research fellowships at IITs and IISc to nurture scientists and entrepreneurs. To preserve India’s historical and scientific heritage, the Prime Minister launched the Gyan Bharatam Mission, an initiative to digitize one crore ancient manuscripts and establish a National Digital Repository. For agricultural sustainability, he announced the creation of a National Gene Bank to preserve plant genetic resources, ensuring long-term food security and climate resilience. On the economic front, PM Modi cited an IMF report highlighting India’s growth. He said that between 2015 and 2025, the Indian economy expanded by 66%, reaching $3.8 trillion and surpassing several major global economies. “This pace of development is unprecedented, and the day is not far when India will become a $5 trillion economy,” he said, attributing the growth to strategic investments and policy reforms.
5
Prime Minister Narendra Modi, in a post-budget webinar on employment held via video conferencing on Wednesday, outlined a comprehensive vision for India’s economic and technological growth. He emphasized the role of artificial intelligence (AI), research, and urban planning in driving the country’s progress and highlighted key budgetary allocations aimed at fostering innovation and strengthening India’s position in emerging technologies. PM Modi described AI as a major force capable of adding trillions of rupees to the economy. To accelerate AI development, the budget allocates ₹500 crore for AI-driven education and research, along with the launch of a National Large Language Model. “The world is searching for a safe, democratic, and reliable AI ecosystem, and India is well-positioned to lead this space,” he said, urging private sector participation in AI-driven solutions. India’s startup ecosystem, now the third-largest in the world, was another key focus. PM Modi announced a ₹1 lakh crore corpus fund to support deep-tech innovation and research. Additionally, he introduced 10,000 new research fellowships at IITs and IISc to nurture scientists and entrepreneurs. To preserve India’s historical and scientific heritage, the Prime Minister launched the Gyan Bharatam Mission, an initiative to digitize one crore ancient manuscripts and establish a National Digital Repository. For agricultural sustainability, he announced the creation of a National Gene Bank to preserve plant genetic resources, ensuring long-term food security and climate resilience. On the economic front, PM Modi cited an IMF report highlighting India’s growth. He said that between 2015 and 2025, the Indian economy expanded by 66%, reaching $3.8 trillion and surpassing several major global economies. “This pace of development is unprecedented, and the day is not far when India will become a $5 trillion economy,” he said, attributing the growth to strategic investments and policy reforms.
5
Türkiye is set to establish a legal and ethical framework for artificial intelligence (AI) as part of ongoing efforts by the Parliamentary Commission on AI Research, according to Fatih Donmez, Chairman of the Commission and a member of the ruling Justice and Development Party (AK Party). Donmez, speaking at the Mobile World Congress (MWC) 2025 in Barcelona, emphasized that the Commission’s work will guide Türkiye’s regulatory approach to AI. “Once our work is completed, the legal and ethical infrastructure will be ready,” he said. Türkiye to finalize AI regulatory framework in three months The AI Research Commission, which began its work in January, aims to complete its studies within three months. Donmez stated that the Commission is consulting public institutions, the private sector, and universities to ensure that Türkiye remains a key player in the global AI landscape. “Türkiye will be part of the AI revolution happening worldwide. The ongoing studies are promising,” he noted. Donmez highlighted that AI technology has rapidly evolved in recent years, becoming increasingly capable of answering human queries and mimicking cognitive functions. “At this event, we have seen firsthand how AI is transforming digital products. We are now encountering more advanced and AI-powered technologies that simplify human tasks. AI will become more prevalent across various fields, from media of art and sports applications,” he explained. A visitor at Intel’s Artificial Intelligence (AI) Day walks past a signboard during the event in the Indian city of Bangalore on April 4, 2017 (AFP Photo) Building a national AIecosystem One of the key aspects of the Commission’s work is assessing the feasibility of establishing a national AI ecosystem in Türkiye. “We are evaluating whether a national AI ecosystem can be built in Türkiye. Ethics, accountability, and reliability are crucial considerations,” Donmez said. He acknowledged that while AI provides significant benefits, it also presents risks, particularly with the ability to mimic voices and create realistic yet misleading content. Logo of the Artificial Intelligence chat application on a smartphone screen in Frankfurt am Main, western Germany on Feb. 22, 2024 (AFP Photo) Balancing AI regulation with innovation Donmez pointed out that different global powers have taken varied approaches to AI regulation. “The European Union (EU) introduced regulations for AI last year, while the United States has opted for a more relaxed approach. As Türkiye, we will determine our stance based on the Commission’s findings,” he said. He stressed the need for regulations that do not hinder technological progress but still enforce ethical guidelines. “We must ensure that technological advancements are not obstructed while also implementing ethical rules where necessary. Once our work is complete, the legal and ethical framework for AI will be in place. All of these findings will be detailed in our Commission’s report,” he concluded.
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Türkiye is set to establish a legal and ethical framework for artificial intelligence (AI) as part of ongoing efforts by the Parliamentary Commission on AI Research, according to Fatih Donmez, Chairman of the Commission and a member of the ruling Justice and Development Party (AK Party). Donmez, speaking at the Mobile World Congress (MWC) 2025 in Barcelona, emphasized that the Commission’s work will guide Türkiye’s regulatory approach to AI. “Once our work is completed, the legal and ethical infrastructure will be ready,” he said. Türkiye to finalize AI regulatory framework in three months The AI Research Commission, which began its work in January, aims to complete its studies within three months. Donmez stated that the Commission is consulting public institutions, the private sector, and universities to ensure that Türkiye remains a key player in the global AI landscape. “Türkiye will be part of the AI revolution happening worldwide. The ongoing studies are promising,” he noted. Donmez highlighted that AI technology has rapidly evolved in recent years, becoming increasingly capable of answering human queries and mimicking cognitive functions. “At this event, we have seen firsthand how AI is transforming digital products. We are now encountering more advanced and AI-powered technologies that simplify human tasks. AI will become more prevalent across various fields, from media of art and sports applications,” he explained. A visitor at Intel’s Artificial Intelligence (AI) Day walks past a signboard during the event in the Indian city of Bangalore on April 4, 2017 (AFP Photo) Building a national AIecosystem One of the key aspects of the Commission’s work is assessing the feasibility of establishing a national AI ecosystem in Türkiye. “We are evaluating whether a national AI ecosystem can be built in Türkiye. Ethics, accountability, and reliability are crucial considerations,” Donmez said. He acknowledged that while AI provides significant benefits, it also presents risks, particularly with the ability to mimic voices and create realistic yet misleading content. Logo of the Artificial Intelligence chat application on a smartphone screen in Frankfurt am Main, western Germany on Feb. 22, 2024 (AFP Photo) Balancing AI regulation with innovation Donmez pointed out that different global powers have taken varied approaches to AI regulation. “The European Union (EU) introduced regulations for AI last year, while the United States has opted for a more relaxed approach. As Türkiye, we will determine our stance based on the Commission’s findings,” he said. He stressed the need for regulations that do not hinder technological progress but still enforce ethical guidelines. “We must ensure that technological advancements are not obstructed while also implementing ethical rules where necessary. Once our work is complete, the legal and ethical framework for AI will be in place. All of these findings will be detailed in our Commission’s report,” he concluded.
5
Türkiye is set to establish a legal and ethical framework for artificial intelligence (AI) as part of ongoing efforts by the Parliamentary Commission on AI Research, according to Fatih Donmez, Chairman of the Commission and a member of the ruling Justice and Development Party (AK Party). Donmez, speaking at the Mobile World Congress (MWC) 2025 in Barcelona, emphasized that the Commission’s work will guide Türkiye’s regulatory approach to AI. “Once our work is completed, the legal and ethical infrastructure will be ready,” he said. Türkiye to finalize AI regulatory framework in three months The AI Research Commission, which began its work in January, aims to complete its studies within three months. Donmez stated that the Commission is consulting public institutions, the private sector, and universities to ensure that Türkiye remains a key player in the global AI landscape. “Türkiye will be part of the AI revolution happening worldwide. The ongoing studies are promising,” he noted. Donmez highlighted that AI technology has rapidly evolved in recent years, becoming increasingly capable of answering human queries and mimicking cognitive functions. “At this event, we have seen firsthand how AI is transforming digital products. We are now encountering more advanced and AI-powered technologies that simplify human tasks. AI will become more prevalent across various fields, from media of art and sports applications,” he explained. A visitor at Intel’s Artificial Intelligence (AI) Day walks past a signboard during the event in the Indian city of Bangalore on April 4, 2017 (AFP Photo) Building a national AIecosystem One of the key aspects of the Commission’s work is assessing the feasibility of establishing a national AI ecosystem in Türkiye. “We are evaluating whether a national AI ecosystem can be built in Türkiye. Ethics, accountability, and reliability are crucial considerations,” Donmez said. He acknowledged that while AI provides significant benefits, it also presents risks, particularly with the ability to mimic voices and create realistic yet misleading content. Logo of the Artificial Intelligence chat application on a smartphone screen in Frankfurt am Main, western Germany on Feb. 22, 2024 (AFP Photo) Balancing AI regulation with innovation Donmez pointed out that different global powers have taken varied approaches to AI regulation. “The European Union (EU) introduced regulations for AI last year, while the United States has opted for a more relaxed approach. As Türkiye, we will determine our stance based on the Commission’s findings,” he said. He stressed the need for regulations that do not hinder technological progress but still enforce ethical guidelines. “We must ensure that technological advancements are not obstructed while also implementing ethical rules where necessary. Once our work is complete, the legal and ethical framework for AI will be in place. All of these findings will be detailed in our Commission’s report,” he concluded.
5
Türkiye is set to establish a legal and ethical framework for artificial intelligence (AI) as part of ongoing efforts by the Parliamentary Commission on AI Research, according to Fatih Donmez, Chairman of the Commission and a member of the ruling Justice and Development Party (AK Party). Donmez, speaking at the Mobile World Congress (MWC) 2025 in Barcelona, emphasized that the Commission’s work will guide Türkiye’s regulatory approach to AI. “Once our work is completed, the legal and ethical infrastructure will be ready,” he said. Türkiye to finalize AI regulatory framework in three months The AI Research Commission, which began its work in January, aims to complete its studies within three months. Donmez stated that the Commission is consulting public institutions, the private sector, and universities to ensure that Türkiye remains a key player in the global AI landscape. “Türkiye will be part of the AI revolution happening worldwide. The ongoing studies are promising,” he noted. Donmez highlighted that AI technology has rapidly evolved in recent years, becoming increasingly capable of answering human queries and mimicking cognitive functions. “At this event, we have seen firsthand how AI is transforming digital products. We are now encountering more advanced and AI-powered technologies that simplify human tasks. AI will become more prevalent across various fields, from media of art and sports applications,” he explained. A visitor at Intel’s Artificial Intelligence (AI) Day walks past a signboard during the event in the Indian city of Bangalore on April 4, 2017 (AFP Photo) Building a national AIecosystem One of the key aspects of the Commission’s work is assessing the feasibility of establishing a national AI ecosystem in Türkiye. “We are evaluating whether a national AI ecosystem can be built in Türkiye. Ethics, accountability, and reliability are crucial considerations,” Donmez said. He acknowledged that while AI provides significant benefits, it also presents risks, particularly with the ability to mimic voices and create realistic yet misleading content. Logo of the Artificial Intelligence chat application on a smartphone screen in Frankfurt am Main, western Germany on Feb. 22, 2024 (AFP Photo) Balancing AI regulation with innovation Donmez pointed out that different global powers have taken varied approaches to AI regulation. “The European Union (EU) introduced regulations for AI last year, while the United States has opted for a more relaxed approach. As Türkiye, we will determine our stance based on the Commission’s findings,” he said. He stressed the need for regulations that do not hinder technological progress but still enforce ethical guidelines. “We must ensure that technological advancements are not obstructed while also implementing ethical rules where necessary. Once our work is complete, the legal and ethical framework for AI will be in place. All of these findings will be detailed in our Commission’s report,” he concluded.
5
Türkiye is set to establish a legal and ethical framework for artificial intelligence (AI) as part of ongoing efforts by the Parliamentary Commission on AI Research, according to Fatih Donmez, Chairman of the Commission and a member of the ruling Justice and Development Party (AK Party). Donmez, speaking at the Mobile World Congress (MWC) 2025 in Barcelona, emphasized that the Commission’s work will guide Türkiye’s regulatory approach to AI. “Once our work is completed, the legal and ethical infrastructure will be ready,” he said. Türkiye to finalize AI regulatory framework in three months The AI Research Commission, which began its work in January, aims to complete its studies within three months. Donmez stated that the Commission is consulting public institutions, the private sector, and universities to ensure that Türkiye remains a key player in the global AI landscape. “Türkiye will be part of the AI revolution happening worldwide. The ongoing studies are promising,” he noted. Donmez highlighted that AI technology has rapidly evolved in recent years, becoming increasingly capable of answering human queries and mimicking cognitive functions. “At this event, we have seen firsthand how AI is transforming digital products. We are now encountering more advanced and AI-powered technologies that simplify human tasks. AI will become more prevalent across various fields, from media of art and sports applications,” he explained. A visitor at Intel’s Artificial Intelligence (AI) Day walks past a signboard during the event in the Indian city of Bangalore on April 4, 2017 (AFP Photo) Building a national AIecosystem One of the key aspects of the Commission’s work is assessing the feasibility of establishing a national AI ecosystem in Türkiye. “We are evaluating whether a national AI ecosystem can be built in Türkiye. Ethics, accountability, and reliability are crucial considerations,” Donmez said. He acknowledged that while AI provides significant benefits, it also presents risks, particularly with the ability to mimic voices and create realistic yet misleading content. Logo of the Artificial Intelligence chat application on a smartphone screen in Frankfurt am Main, western Germany on Feb. 22, 2024 (AFP Photo) Balancing AI regulation with innovation Donmez pointed out that different global powers have taken varied approaches to AI regulation. “The European Union (EU) introduced regulations for AI last year, while the United States has opted for a more relaxed approach. As Türkiye, we will determine our stance based on the Commission’s findings,” he said. He stressed the need for regulations that do not hinder technological progress but still enforce ethical guidelines. “We must ensure that technological advancements are not obstructed while also implementing ethical rules where necessary. Once our work is complete, the legal and ethical framework for AI will be in place. All of these findings will be detailed in our Commission’s report,” he concluded.
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Vijayawada: SRM University-AP has announced a five-year-long collaboration with Carnegie Mellon University’s School of Computer Science (CMU SCS), which is one of the world’s foremost institutions in artificial intelligence (AI) and cutting-edge research. This strategic collaboration aims to push the boundaries of knowledge, innovation and education in AI-related disciplines, including machine learning, natural language processing, computer vision, infrastructure and systems, and AI ethics and policy.Commenting on the collaboration, Prof. Martial Hebert, dean of CMU's School of Computer Science said, “Together, we will shape the future of AI and empower the next generation of researchers, educators and industry leaders to push the frontiers of technology and drive meaningful change in society.”Dr P Sathyanarayanan, the Pro-Chancellor of SRM University-AP, said: “This collaboration will also pave the way to establish advanced AI labs at SRM University-AP. These labs will be incubators for novel AI research, fostering a stimulating environment that promotes academic rigour, interdisciplinary collaboration and technological innovation”.As part of this collaboration, SRM University-AP’s research faculty and researchers will have an opportunity to engage directly with the faculty and researchers at CMU’s School of Computer Science.
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Vijayawada: SRM University-AP has announced a five-year-long collaboration with Carnegie Mellon University’s School of Computer Science (CMU SCS), which is one of the world’s foremost institutions in artificial intelligence (AI) and cutting-edge research. This strategic collaboration aims to push the boundaries of knowledge, innovation and education in AI-related disciplines, including machine learning, natural language processing, computer vision, infrastructure and systems, and AI ethics and policy.Commenting on the collaboration, Prof. Martial Hebert, dean of CMU's School of Computer Science said, “Together, we will shape the future of AI and empower the next generation of researchers, educators and industry leaders to push the frontiers of technology and drive meaningful change in society.”Dr P Sathyanarayanan, the Pro-Chancellor of SRM University-AP, said: “This collaboration will also pave the way to establish advanced AI labs at SRM University-AP. These labs will be incubators for novel AI research, fostering a stimulating environment that promotes academic rigour, interdisciplinary collaboration and technological innovation”.As part of this collaboration, SRM University-AP’s research faculty and researchers will have an opportunity to engage directly with the faculty and researchers at CMU’s School of Computer Science.
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Vijayawada: SRM University-AP has announced a five-year-long collaboration with Carnegie Mellon University’s School of Computer Science (CMU SCS), which is one of the world’s foremost institutions in artificial intelligence (AI) and cutting-edge research. This strategic collaboration aims to push the boundaries of knowledge, innovation and education in AI-related disciplines, including machine learning, natural language processing, computer vision, infrastructure and systems, and AI ethics and policy.Commenting on the collaboration, Prof. Martial Hebert, dean of CMU's School of Computer Science said, “Together, we will shape the future of AI and empower the next generation of researchers, educators and industry leaders to push the frontiers of technology and drive meaningful change in society.”Dr P Sathyanarayanan, the Pro-Chancellor of SRM University-AP, said: “This collaboration will also pave the way to establish advanced AI labs at SRM University-AP. These labs will be incubators for novel AI research, fostering a stimulating environment that promotes academic rigour, interdisciplinary collaboration and technological innovation”.As part of this collaboration, SRM University-AP’s research faculty and researchers will have an opportunity to engage directly with the faculty and researchers at CMU’s School of Computer Science.
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Vijayawada: SRM University-AP has announced a five-year-long collaboration with Carnegie Mellon University’s School of Computer Science (CMU SCS), which is one of the world’s foremost institutions in artificial intelligence (AI) and cutting-edge research. This strategic collaboration aims to push the boundaries of knowledge, innovation and education in AI-related disciplines, including machine learning, natural language processing, computer vision, infrastructure and systems, and AI ethics and policy.Commenting on the collaboration, Prof. Martial Hebert, dean of CMU's School of Computer Science said, “Together, we will shape the future of AI and empower the next generation of researchers, educators and industry leaders to push the frontiers of technology and drive meaningful change in society.”Dr P Sathyanarayanan, the Pro-Chancellor of SRM University-AP, said: “This collaboration will also pave the way to establish advanced AI labs at SRM University-AP. These labs will be incubators for novel AI research, fostering a stimulating environment that promotes academic rigour, interdisciplinary collaboration and technological innovation”.As part of this collaboration, SRM University-AP’s research faculty and researchers will have an opportunity to engage directly with the faculty and researchers at CMU’s School of Computer Science.
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Vijayawada: SRM University-AP has announced a five-year-long collaboration with Carnegie Mellon University’s School of Computer Science (CMU SCS), which is one of the world’s foremost institutions in artificial intelligence (AI) and cutting-edge research. This strategic collaboration aims to push the boundaries of knowledge, innovation and education in AI-related disciplines, including machine learning, natural language processing, computer vision, infrastructure and systems, and AI ethics and policy.Commenting on the collaboration, Prof. Martial Hebert, dean of CMU's School of Computer Science said, “Together, we will shape the future of AI and empower the next generation of researchers, educators and industry leaders to push the frontiers of technology and drive meaningful change in society.”Dr P Sathyanarayanan, the Pro-Chancellor of SRM University-AP, said: “This collaboration will also pave the way to establish advanced AI labs at SRM University-AP. These labs will be incubators for novel AI research, fostering a stimulating environment that promotes academic rigour, interdisciplinary collaboration and technological innovation”.As part of this collaboration, SRM University-AP’s research faculty and researchers will have an opportunity to engage directly with the faculty and researchers at CMU’s School of Computer Science.
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SRM University-Andhra Pradesh (SRM-AP) on Sunday announced a five-year collaboration with Carnegie Mellon University’s School of Computer Science (CMU SCS), USA, one of the foremost institutions in artificial intelligence (AI) and cutting-edge research at global level. The partnership aims to push the boundaries of knowledge, innovation and education in AI-related disciplines, including machine learning, natural language processing, computer vision, infrastructure and systems, and AI ethics and policy. “Together we will shape the future of AI and empower the next generation of researchers, educators and industry leaders to push the frontiers of technology and drive meaningful change in society,” said Dean of CMU’s School of Computer Science Martial Hebert. As part of this collaboration, SRM University-AP’s research faculty and researchers will have the opportunity to engage directly with the faculty and researchers at CMU’s School of Computer Science. This will facilitate research, knowledge -sharing and development of state-of-the-art AI innovations that address real-world challenges. Pro-Chancellor of SRM University-AP P. Sathyanarayanan said that this collaboration will also pave the way to establish advanced AI labs at SRM University-AP. These labs will be incubators for novel AI research, fostering a stimulating environment that promotes academic rigour, interdisciplinary collaboration and technological innovation. Selected faculty members and scholars from SRM University can audit cutting-edge AI courses at CMU’s School of Computer Science as visiting participants. This exposure will allow them to engage with CMU SCS faculty and contribute to developing robust AI curricula at SRM-AP. Selected students will also spend around six weeks each summer in a world-class research environment and gain first-hand experience in tackling complex AI challenges alongside leaders in the field. .
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SRM University-Andhra Pradesh (SRM-AP) on Sunday announced a five-year collaboration with Carnegie Mellon University’s School of Computer Science (CMU SCS), USA, one of the foremost institutions in artificial intelligence (AI) and cutting-edge research at global level. The partnership aims to push the boundaries of knowledge, innovation and education in AI-related disciplines, including machine learning, natural language processing, computer vision, infrastructure and systems, and AI ethics and policy. “Together we will shape the future of AI and empower the next generation of researchers, educators and industry leaders to push the frontiers of technology and drive meaningful change in society,” said Dean of CMU’s School of Computer Science Martial Hebert. As part of this collaboration, SRM University-AP’s research faculty and researchers will have the opportunity to engage directly with the faculty and researchers at CMU’s School of Computer Science. This will facilitate research, knowledge -sharing and development of state-of-the-art AI innovations that address real-world challenges. Pro-Chancellor of SRM University-AP P. Sathyanarayanan said that this collaboration will also pave the way to establish advanced AI labs at SRM University-AP. These labs will be incubators for novel AI research, fostering a stimulating environment that promotes academic rigour, interdisciplinary collaboration and technological innovation. Selected faculty members and scholars from SRM University can audit cutting-edge AI courses at CMU’s School of Computer Science as visiting participants. This exposure will allow them to engage with CMU SCS faculty and contribute to developing robust AI curricula at SRM-AP. Selected students will also spend around six weeks each summer in a world-class research environment and gain first-hand experience in tackling complex AI challenges alongside leaders in the field. .
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SRM University-Andhra Pradesh (SRM-AP) on Sunday announced a five-year collaboration with Carnegie Mellon University’s School of Computer Science (CMU SCS), USA, one of the foremost institutions in artificial intelligence (AI) and cutting-edge research at global level. The partnership aims to push the boundaries of knowledge, innovation and education in AI-related disciplines, including machine learning, natural language processing, computer vision, infrastructure and systems, and AI ethics and policy. “Together we will shape the future of AI and empower the next generation of researchers, educators and industry leaders to push the frontiers of technology and drive meaningful change in society,” said Dean of CMU’s School of Computer Science Martial Hebert. As part of this collaboration, SRM University-AP’s research faculty and researchers will have the opportunity to engage directly with the faculty and researchers at CMU’s School of Computer Science. This will facilitate research, knowledge -sharing and development of state-of-the-art AI innovations that address real-world challenges. Pro-Chancellor of SRM University-AP P. Sathyanarayanan said that this collaboration will also pave the way to establish advanced AI labs at SRM University-AP. These labs will be incubators for novel AI research, fostering a stimulating environment that promotes academic rigour, interdisciplinary collaboration and technological innovation. Selected faculty members and scholars from SRM University can audit cutting-edge AI courses at CMU’s School of Computer Science as visiting participants. This exposure will allow them to engage with CMU SCS faculty and contribute to developing robust AI curricula at SRM-AP. Selected students will also spend around six weeks each summer in a world-class research environment and gain first-hand experience in tackling complex AI challenges alongside leaders in the field. .
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SRM University-Andhra Pradesh (SRM-AP) on Sunday announced a five-year collaboration with Carnegie Mellon University’s School of Computer Science (CMU SCS), USA, one of the foremost institutions in artificial intelligence (AI) and cutting-edge research at global level. The partnership aims to push the boundaries of knowledge, innovation and education in AI-related disciplines, including machine learning, natural language processing, computer vision, infrastructure and systems, and AI ethics and policy. “Together we will shape the future of AI and empower the next generation of researchers, educators and industry leaders to push the frontiers of technology and drive meaningful change in society,” said Dean of CMU’s School of Computer Science Martial Hebert. As part of this collaboration, SRM University-AP’s research faculty and researchers will have the opportunity to engage directly with the faculty and researchers at CMU’s School of Computer Science. This will facilitate research, knowledge -sharing and development of state-of-the-art AI innovations that address real-world challenges. Pro-Chancellor of SRM University-AP P. Sathyanarayanan said that this collaboration will also pave the way to establish advanced AI labs at SRM University-AP. These labs will be incubators for novel AI research, fostering a stimulating environment that promotes academic rigour, interdisciplinary collaboration and technological innovation. Selected faculty members and scholars from SRM University can audit cutting-edge AI courses at CMU’s School of Computer Science as visiting participants. This exposure will allow them to engage with CMU SCS faculty and contribute to developing robust AI curricula at SRM-AP. Selected students will also spend around six weeks each summer in a world-class research environment and gain first-hand experience in tackling complex AI challenges alongside leaders in the field. .
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SRM University-Andhra Pradesh (SRM-AP) on Sunday announced a five-year collaboration with Carnegie Mellon University’s School of Computer Science (CMU SCS), USA, one of the foremost institutions in artificial intelligence (AI) and cutting-edge research at global level. The partnership aims to push the boundaries of knowledge, innovation and education in AI-related disciplines, including machine learning, natural language processing, computer vision, infrastructure and systems, and AI ethics and policy. “Together we will shape the future of AI and empower the next generation of researchers, educators and industry leaders to push the frontiers of technology and drive meaningful change in society,” said Dean of CMU’s School of Computer Science Martial Hebert. As part of this collaboration, SRM University-AP’s research faculty and researchers will have the opportunity to engage directly with the faculty and researchers at CMU’s School of Computer Science. This will facilitate research, knowledge -sharing and development of state-of-the-art AI innovations that address real-world challenges. Pro-Chancellor of SRM University-AP P. Sathyanarayanan said that this collaboration will also pave the way to establish advanced AI labs at SRM University-AP. These labs will be incubators for novel AI research, fostering a stimulating environment that promotes academic rigour, interdisciplinary collaboration and technological innovation. Selected faculty members and scholars from SRM University can audit cutting-edge AI courses at CMU’s School of Computer Science as visiting participants. This exposure will allow them to engage with CMU SCS faculty and contribute to developing robust AI curricula at SRM-AP. Selected students will also spend around six weeks each summer in a world-class research environment and gain first-hand experience in tackling complex AI challenges alongside leaders in the field. .
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While some people have their concerns about the harm artificial intelligence can do, it's important to note it can also be hugely beneficial. One particular area where AI may prove useful is in the health sector. For example, one woman's breast cancer was detected four years before it developed with the help of AI. Advert Well, now, researchers hope the technology can help detected people at risk of dementia as well. A team of scientists at Mass General Brigham put their heads together to create a new AI tool that records a person's brainwave patterns while they sleep. A new study looked at a group of women aged 65 and over and their brainwaves while sleeping (Getty Stock) This is done using electroencephalography (EEG) — a non-invasive technique that measures electrical activity in the brain through sensors placed on the scalp, explains a news release published on the academic healthcare system's website. Advert As to how the new game-changing tool was developed, researchers used sleep study data from a group of women aged over 65. They tracked these women over a five-year period. Looking at changes in the brainwave patterns, they were able to predict which of them would later be diagnosed with cognitive impairment, i.e dementia. These EEG devices could now help detect the condition much earlier and thus pave the way for earlier interventions. It's hoped that the devices will be used for early detection of dementia (Getty Stock) Advert In regards to the AI tool's success rate, it's said that it identified 85 percent of individuals who later developed cognitive impairment, with an overall accuracy of 77 percent. Around the same time the sleep study using the EEG was conducted, the participants also underwent a series of cognitive tests. According to the paper, 281 of the women tracked were recorded as having normal cognitive functioning at the time of the initial sleep study. The same cognitive tests were repeated five years later. By the time the second round of assessments came around, 96 of the 281 had developed cognitive impairment. Advert With this in mind, they looked further into the brainwaves of those who ended up showing signs of cognitive impairment and spotted some 'subtle' changes. The research was conducted by those at Mass General Brigham (David L. Ryan/The Boston Globe via Getty Images) Discussing the study, lead author Shahab Haghayegh, PhD, a founding member of the Mass General Brigham healthcare system, said: "Using novel sophisticated analyses, advanced information theory tools, and AI, we can detect subtle changes in brainwave patterns during sleep that signal future cognitive impairment, offering a window of opportunity for intervention years before symptoms appear." It's now hoped that such technology will 'become a powerful tool in predicting cognitive decline'.
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While some people have their concerns about the harm artificial intelligence can do, it's important to note it can also be hugely beneficial. One particular area where AI may prove useful is in the health sector. For example, one woman's breast cancer was detected four years before it developed with the help of AI. Advert Well, now, researchers hope the technology can help detected people at risk of dementia as well. A team of scientists at Mass General Brigham put their heads together to create a new AI tool that records a person's brainwave patterns while they sleep. A new study looked at a group of women aged 65 and over and their brainwaves while sleeping (Getty Stock) This is done using electroencephalography (EEG) — a non-invasive technique that measures electrical activity in the brain through sensors placed on the scalp, explains a news release published on the academic healthcare system's website. Advert As to how the new game-changing tool was developed, researchers used sleep study data from a group of women aged over 65. They tracked these women over a five-year period. Looking at changes in the brainwave patterns, they were able to predict which of them would later be diagnosed with cognitive impairment, i.e dementia. These EEG devices could now help detect the condition much earlier and thus pave the way for earlier interventions. It's hoped that the devices will be used for early detection of dementia (Getty Stock) Advert In regards to the AI tool's success rate, it's said that it identified 85 percent of individuals who later developed cognitive impairment, with an overall accuracy of 77 percent. Around the same time the sleep study using the EEG was conducted, the participants also underwent a series of cognitive tests. According to the paper, 281 of the women tracked were recorded as having normal cognitive functioning at the time of the initial sleep study. The same cognitive tests were repeated five years later. By the time the second round of assessments came around, 96 of the 281 had developed cognitive impairment. Advert With this in mind, they looked further into the brainwaves of those who ended up showing signs of cognitive impairment and spotted some 'subtle' changes. The research was conducted by those at Mass General Brigham (David L. Ryan/The Boston Globe via Getty Images) Discussing the study, lead author Shahab Haghayegh, PhD, a founding member of the Mass General Brigham healthcare system, said: "Using novel sophisticated analyses, advanced information theory tools, and AI, we can detect subtle changes in brainwave patterns during sleep that signal future cognitive impairment, offering a window of opportunity for intervention years before symptoms appear." It's now hoped that such technology will 'become a powerful tool in predicting cognitive decline'.
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While some people have their concerns about the harm artificial intelligence can do, it's important to note it can also be hugely beneficial. One particular area where AI may prove useful is in the health sector. For example, one woman's breast cancer was detected four years before it developed with the help of AI. Advert Well, now, researchers hope the technology can help detected people at risk of dementia as well. A team of scientists at Mass General Brigham put their heads together to create a new AI tool that records a person's brainwave patterns while they sleep. A new study looked at a group of women aged 65 and over and their brainwaves while sleeping (Getty Stock) This is done using electroencephalography (EEG) — a non-invasive technique that measures electrical activity in the brain through sensors placed on the scalp, explains a news release published on the academic healthcare system's website. Advert As to how the new game-changing tool was developed, researchers used sleep study data from a group of women aged over 65. They tracked these women over a five-year period. Looking at changes in the brainwave patterns, they were able to predict which of them would later be diagnosed with cognitive impairment, i.e dementia. These EEG devices could now help detect the condition much earlier and thus pave the way for earlier interventions. It's hoped that the devices will be used for early detection of dementia (Getty Stock) Advert In regards to the AI tool's success rate, it's said that it identified 85 percent of individuals who later developed cognitive impairment, with an overall accuracy of 77 percent. Around the same time the sleep study using the EEG was conducted, the participants also underwent a series of cognitive tests. According to the paper, 281 of the women tracked were recorded as having normal cognitive functioning at the time of the initial sleep study. The same cognitive tests were repeated five years later. By the time the second round of assessments came around, 96 of the 281 had developed cognitive impairment. Advert With this in mind, they looked further into the brainwaves of those who ended up showing signs of cognitive impairment and spotted some 'subtle' changes. The research was conducted by those at Mass General Brigham (David L. Ryan/The Boston Globe via Getty Images) Discussing the study, lead author Shahab Haghayegh, PhD, a founding member of the Mass General Brigham healthcare system, said: "Using novel sophisticated analyses, advanced information theory tools, and AI, we can detect subtle changes in brainwave patterns during sleep that signal future cognitive impairment, offering a window of opportunity for intervention years before symptoms appear." It's now hoped that such technology will 'become a powerful tool in predicting cognitive decline'.
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While some people have their concerns about the harm artificial intelligence can do, it's important to note it can also be hugely beneficial. One particular area where AI may prove useful is in the health sector. For example, one woman's breast cancer was detected four years before it developed with the help of AI. Advert Well, now, researchers hope the technology can help detected people at risk of dementia as well. A team of scientists at Mass General Brigham put their heads together to create a new AI tool that records a person's brainwave patterns while they sleep. A new study looked at a group of women aged 65 and over and their brainwaves while sleeping (Getty Stock) This is done using electroencephalography (EEG) — a non-invasive technique that measures electrical activity in the brain through sensors placed on the scalp, explains a news release published on the academic healthcare system's website. Advert As to how the new game-changing tool was developed, researchers used sleep study data from a group of women aged over 65. They tracked these women over a five-year period. Looking at changes in the brainwave patterns, they were able to predict which of them would later be diagnosed with cognitive impairment, i.e dementia. These EEG devices could now help detect the condition much earlier and thus pave the way for earlier interventions. It's hoped that the devices will be used for early detection of dementia (Getty Stock) Advert In regards to the AI tool's success rate, it's said that it identified 85 percent of individuals who later developed cognitive impairment, with an overall accuracy of 77 percent. Around the same time the sleep study using the EEG was conducted, the participants also underwent a series of cognitive tests. According to the paper, 281 of the women tracked were recorded as having normal cognitive functioning at the time of the initial sleep study. The same cognitive tests were repeated five years later. By the time the second round of assessments came around, 96 of the 281 had developed cognitive impairment. Advert With this in mind, they looked further into the brainwaves of those who ended up showing signs of cognitive impairment and spotted some 'subtle' changes. The research was conducted by those at Mass General Brigham (David L. Ryan/The Boston Globe via Getty Images) Discussing the study, lead author Shahab Haghayegh, PhD, a founding member of the Mass General Brigham healthcare system, said: "Using novel sophisticated analyses, advanced information theory tools, and AI, we can detect subtle changes in brainwave patterns during sleep that signal future cognitive impairment, offering a window of opportunity for intervention years before symptoms appear." It's now hoped that such technology will 'become a powerful tool in predicting cognitive decline'.
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While some people have their concerns about the harm artificial intelligence can do, it's important to note it can also be hugely beneficial. One particular area where AI may prove useful is in the health sector. For example, one woman's breast cancer was detected four years before it developed with the help of AI. Advert Well, now, researchers hope the technology can help detected people at risk of dementia as well. A team of scientists at Mass General Brigham put their heads together to create a new AI tool that records a person's brainwave patterns while they sleep. A new study looked at a group of women aged 65 and over and their brainwaves while sleeping (Getty Stock) This is done using electroencephalography (EEG) — a non-invasive technique that measures electrical activity in the brain through sensors placed on the scalp, explains a news release published on the academic healthcare system's website. Advert As to how the new game-changing tool was developed, researchers used sleep study data from a group of women aged over 65. They tracked these women over a five-year period. Looking at changes in the brainwave patterns, they were able to predict which of them would later be diagnosed with cognitive impairment, i.e dementia. These EEG devices could now help detect the condition much earlier and thus pave the way for earlier interventions. It's hoped that the devices will be used for early detection of dementia (Getty Stock) Advert In regards to the AI tool's success rate, it's said that it identified 85 percent of individuals who later developed cognitive impairment, with an overall accuracy of 77 percent. Around the same time the sleep study using the EEG was conducted, the participants also underwent a series of cognitive tests. According to the paper, 281 of the women tracked were recorded as having normal cognitive functioning at the time of the initial sleep study. The same cognitive tests were repeated five years later. By the time the second round of assessments came around, 96 of the 281 had developed cognitive impairment. Advert With this in mind, they looked further into the brainwaves of those who ended up showing signs of cognitive impairment and spotted some 'subtle' changes. The research was conducted by those at Mass General Brigham (David L. Ryan/The Boston Globe via Getty Images) Discussing the study, lead author Shahab Haghayegh, PhD, a founding member of the Mass General Brigham healthcare system, said: "Using novel sophisticated analyses, advanced information theory tools, and AI, we can detect subtle changes in brainwave patterns during sleep that signal future cognitive impairment, offering a window of opportunity for intervention years before symptoms appear." It's now hoped that such technology will 'become a powerful tool in predicting cognitive decline'.
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This article is from Military History Matters issue 145 Subscribe now for full access and no adverts A new research project is using artificial intelligence to uncover the stories of Union sailors, or ‘bluejackets’, during the American Civil War. The study is the result of a collaboration between the universities of Sheffield and Northumbria. It aims to ‘uncover the contributions of thousands of men whose names and stories were previously overlooked,’ its organisers said. The sailors of the Union army were so-named because of their distinctive short shell-jacket uniforms. There were around 118,000 or so who served during the war of 1861-1865. Artificial intelligence has been used in the analysis of archival data – such as muster rolls and ships’ logs from the Civil War period – to identify patterns in the stories of the sailors. Researchers hope the study will provide a counterbalance to the well-documented histories of naval leaders from the period. Image: Northumbria University As Professor David Gleeson of Northumbria University, leader of the project, explained: ‘This research is revolutionising how we study history, combining modern technology with historical analysis to bring the voices of ordinary bluejackets to the forefront.’ The project, which has involved a collaboration with the University of Koblenz (in Germany) and the United States Naval Academy Museum, has already yielded new information about the diverse origins of the Union sailors – many of whom were immigrants – and their role in the war. ‘The stories of these sailors resonate far beyond the battlefield, illustrating resilience, camaraderie, and the pursuit of a common cause,’ Gleeson added. A blog by Professor Gleeson and his colleagues on the results of the research so far has been published on The Journal of the Civil War Era website.
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This article is from Military History Matters issue 145 Subscribe now for full access and no adverts A new research project is using artificial intelligence to uncover the stories of Union sailors, or ‘bluejackets’, during the American Civil War. The study is the result of a collaboration between the universities of Sheffield and Northumbria. It aims to ‘uncover the contributions of thousands of men whose names and stories were previously overlooked,’ its organisers said. The sailors of the Union army were so-named because of their distinctive short shell-jacket uniforms. There were around 118,000 or so who served during the war of 1861-1865. Artificial intelligence has been used in the analysis of archival data – such as muster rolls and ships’ logs from the Civil War period – to identify patterns in the stories of the sailors. Researchers hope the study will provide a counterbalance to the well-documented histories of naval leaders from the period. Image: Northumbria University As Professor David Gleeson of Northumbria University, leader of the project, explained: ‘This research is revolutionising how we study history, combining modern technology with historical analysis to bring the voices of ordinary bluejackets to the forefront.’ The project, which has involved a collaboration with the University of Koblenz (in Germany) and the United States Naval Academy Museum, has already yielded new information about the diverse origins of the Union sailors – many of whom were immigrants – and their role in the war. ‘The stories of these sailors resonate far beyond the battlefield, illustrating resilience, camaraderie, and the pursuit of a common cause,’ Gleeson added. A blog by Professor Gleeson and his colleagues on the results of the research so far has been published on The Journal of the Civil War Era website.
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This article is from Military History Matters issue 145 Subscribe now for full access and no adverts A new research project is using artificial intelligence to uncover the stories of Union sailors, or ‘bluejackets’, during the American Civil War. The study is the result of a collaboration between the universities of Sheffield and Northumbria. It aims to ‘uncover the contributions of thousands of men whose names and stories were previously overlooked,’ its organisers said. The sailors of the Union army were so-named because of their distinctive short shell-jacket uniforms. There were around 118,000 or so who served during the war of 1861-1865. Artificial intelligence has been used in the analysis of archival data – such as muster rolls and ships’ logs from the Civil War period – to identify patterns in the stories of the sailors. Researchers hope the study will provide a counterbalance to the well-documented histories of naval leaders from the period. Image: Northumbria University As Professor David Gleeson of Northumbria University, leader of the project, explained: ‘This research is revolutionising how we study history, combining modern technology with historical analysis to bring the voices of ordinary bluejackets to the forefront.’ The project, which has involved a collaboration with the University of Koblenz (in Germany) and the United States Naval Academy Museum, has already yielded new information about the diverse origins of the Union sailors – many of whom were immigrants – and their role in the war. ‘The stories of these sailors resonate far beyond the battlefield, illustrating resilience, camaraderie, and the pursuit of a common cause,’ Gleeson added. A blog by Professor Gleeson and his colleagues on the results of the research so far has been published on The Journal of the Civil War Era website.
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This article is from Military History Matters issue 145 Subscribe now for full access and no adverts A new research project is using artificial intelligence to uncover the stories of Union sailors, or ‘bluejackets’, during the American Civil War. The study is the result of a collaboration between the universities of Sheffield and Northumbria. It aims to ‘uncover the contributions of thousands of men whose names and stories were previously overlooked,’ its organisers said. The sailors of the Union army were so-named because of their distinctive short shell-jacket uniforms. There were around 118,000 or so who served during the war of 1861-1865. Artificial intelligence has been used in the analysis of archival data – such as muster rolls and ships’ logs from the Civil War period – to identify patterns in the stories of the sailors. Researchers hope the study will provide a counterbalance to the well-documented histories of naval leaders from the period. Image: Northumbria University As Professor David Gleeson of Northumbria University, leader of the project, explained: ‘This research is revolutionising how we study history, combining modern technology with historical analysis to bring the voices of ordinary bluejackets to the forefront.’ The project, which has involved a collaboration with the University of Koblenz (in Germany) and the United States Naval Academy Museum, has already yielded new information about the diverse origins of the Union sailors – many of whom were immigrants – and their role in the war. ‘The stories of these sailors resonate far beyond the battlefield, illustrating resilience, camaraderie, and the pursuit of a common cause,’ Gleeson added. A blog by Professor Gleeson and his colleagues on the results of the research so far has been published on The Journal of the Civil War Era website.
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This article is from Military History Matters issue 145 Subscribe now for full access and no adverts A new research project is using artificial intelligence to uncover the stories of Union sailors, or ‘bluejackets’, during the American Civil War. The study is the result of a collaboration between the universities of Sheffield and Northumbria. It aims to ‘uncover the contributions of thousands of men whose names and stories were previously overlooked,’ its organisers said. The sailors of the Union army were so-named because of their distinctive short shell-jacket uniforms. There were around 118,000 or so who served during the war of 1861-1865. Artificial intelligence has been used in the analysis of archival data – such as muster rolls and ships’ logs from the Civil War period – to identify patterns in the stories of the sailors. Researchers hope the study will provide a counterbalance to the well-documented histories of naval leaders from the period. Image: Northumbria University As Professor David Gleeson of Northumbria University, leader of the project, explained: ‘This research is revolutionising how we study history, combining modern technology with historical analysis to bring the voices of ordinary bluejackets to the forefront.’ The project, which has involved a collaboration with the University of Koblenz (in Germany) and the United States Naval Academy Museum, has already yielded new information about the diverse origins of the Union sailors – many of whom were immigrants – and their role in the war. ‘The stories of these sailors resonate far beyond the battlefield, illustrating resilience, camaraderie, and the pursuit of a common cause,’ Gleeson added. A blog by Professor Gleeson and his colleagues on the results of the research so far has been published on The Journal of the Civil War Era website.
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Hong Kong should seize opportunities in the fast-growing field of artificial intelligence, Financial Secretary Paul Chan Mo-po said. Chan’s remark came as Ng Teng Fong Charitable Foundation and Sino Group pledged HK$200 million to support the Hong Kong Generative AI Research and Development Center (HKGAI) under the InnoHK Research Clusters. Speaking at a donation ceremony held at the Central Government Offices, Chan highlighted the transformative potential of AI, which is reshaping global economies and industries. “AI is not just a critical industry on its own -- it’s a powerful tool that can enhance and integrate deeply into various sectors,” he said. Chan pointed to the central government’s recent work report during the Two Sessions in Beijing, which emphasized advancing the “AI Plus” initiative and promoting the widespread use of AI models. He stressed that Hong Kong is uniquely positioned to capitalize on these opportunities with its strong research capabilities and global reputation. “Three of our local universities are ranked among the top 25 globally in AI and data science disciplines,” Chan said. He added that as an international financial hub and a magnet for talent, Hong Kong can provide robust financial and human resources to support the AI industry. Daryl Ng Win-kong, Deputy Chairman of Sino Group and Director of the Ng Teng Fong Charitable Foundation, expressed pride in supporting Hong Kong’s AI ambitions. He added that the funds will help launch public dialogue services for HKGAI V1, the city’s first locally developed generative AI model, making AI more accessible to businesses and the public. Guo Yike, provost of the Hong Kong University of Science and Technology and director of HKGAI, said the center will utilize the funds to improve the AI ecosystem, build high-security AI computing power and data platforms, and to advance the HKGAI model for real-world applications. Secretary for Innovation, Technology and Industry Sun Dong, speaking after the ceremony, hailed the donation as a milestone in Hong Kong’s AI development, including accelerating the launch of HKGAI public dialogue service platform. “AI should serve the broader society, and the introduction of this platform will contribute to Hong Kong’s high-quality development,” Sun said, calling for increased investment from the private sector to support AI development. When asked about potential budget cuts, Sun acknowledged that his bureau, like other government departments, would face fiscal constraints. However, he assured that support for AI, identified as a key industry for Hong Kong, would remain a priority. “In times of fiscal tightening, our support will be more focused and targeted, but we will continue to invest in critical areas such as AI,” Sun said. (Ayra Wang)
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Hong Kong should seize opportunities in the fast-growing field of artificial intelligence, Financial Secretary Paul Chan Mo-po said. Chan’s remark came as Ng Teng Fong Charitable Foundation and Sino Group pledged HK$200 million to support the Hong Kong Generative AI Research and Development Center (HKGAI) under the InnoHK Research Clusters. Speaking at a donation ceremony held at the Central Government Offices, Chan highlighted the transformative potential of AI, which is reshaping global economies and industries. “AI is not just a critical industry on its own -- it’s a powerful tool that can enhance and integrate deeply into various sectors,” he said. Chan pointed to the central government’s recent work report during the Two Sessions in Beijing, which emphasized advancing the “AI Plus” initiative and promoting the widespread use of AI models. He stressed that Hong Kong is uniquely positioned to capitalize on these opportunities with its strong research capabilities and global reputation. “Three of our local universities are ranked among the top 25 globally in AI and data science disciplines,” Chan said. He added that as an international financial hub and a magnet for talent, Hong Kong can provide robust financial and human resources to support the AI industry. Daryl Ng Win-kong, Deputy Chairman of Sino Group and Director of the Ng Teng Fong Charitable Foundation, expressed pride in supporting Hong Kong’s AI ambitions. He added that the funds will help launch public dialogue services for HKGAI V1, the city’s first locally developed generative AI model, making AI more accessible to businesses and the public. Guo Yike, provost of the Hong Kong University of Science and Technology and director of HKGAI, said the center will utilize the funds to improve the AI ecosystem, build high-security AI computing power and data platforms, and to advance the HKGAI model for real-world applications. Secretary for Innovation, Technology and Industry Sun Dong, speaking after the ceremony, hailed the donation as a milestone in Hong Kong’s AI development, including accelerating the launch of HKGAI public dialogue service platform. “AI should serve the broader society, and the introduction of this platform will contribute to Hong Kong’s high-quality development,” Sun said, calling for increased investment from the private sector to support AI development. When asked about potential budget cuts, Sun acknowledged that his bureau, like other government departments, would face fiscal constraints. However, he assured that support for AI, identified as a key industry for Hong Kong, would remain a priority. “In times of fiscal tightening, our support will be more focused and targeted, but we will continue to invest in critical areas such as AI,” Sun said. (Ayra Wang)
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Hong Kong should seize opportunities in the fast-growing field of artificial intelligence, Financial Secretary Paul Chan Mo-po said. Chan’s remark came as Ng Teng Fong Charitable Foundation and Sino Group pledged HK$200 million to support the Hong Kong Generative AI Research and Development Center (HKGAI) under the InnoHK Research Clusters. Speaking at a donation ceremony held at the Central Government Offices, Chan highlighted the transformative potential of AI, which is reshaping global economies and industries. “AI is not just a critical industry on its own -- it’s a powerful tool that can enhance and integrate deeply into various sectors,” he said. Chan pointed to the central government’s recent work report during the Two Sessions in Beijing, which emphasized advancing the “AI Plus” initiative and promoting the widespread use of AI models. He stressed that Hong Kong is uniquely positioned to capitalize on these opportunities with its strong research capabilities and global reputation. “Three of our local universities are ranked among the top 25 globally in AI and data science disciplines,” Chan said. He added that as an international financial hub and a magnet for talent, Hong Kong can provide robust financial and human resources to support the AI industry. Daryl Ng Win-kong, Deputy Chairman of Sino Group and Director of the Ng Teng Fong Charitable Foundation, expressed pride in supporting Hong Kong’s AI ambitions. He added that the funds will help launch public dialogue services for HKGAI V1, the city’s first locally developed generative AI model, making AI more accessible to businesses and the public. Guo Yike, provost of the Hong Kong University of Science and Technology and director of HKGAI, said the center will utilize the funds to improve the AI ecosystem, build high-security AI computing power and data platforms, and to advance the HKGAI model for real-world applications. Secretary for Innovation, Technology and Industry Sun Dong, speaking after the ceremony, hailed the donation as a milestone in Hong Kong’s AI development, including accelerating the launch of HKGAI public dialogue service platform. “AI should serve the broader society, and the introduction of this platform will contribute to Hong Kong’s high-quality development,” Sun said, calling for increased investment from the private sector to support AI development. When asked about potential budget cuts, Sun acknowledged that his bureau, like other government departments, would face fiscal constraints. However, he assured that support for AI, identified as a key industry for Hong Kong, would remain a priority. “In times of fiscal tightening, our support will be more focused and targeted, but we will continue to invest in critical areas such as AI,” Sun said. (Ayra Wang)
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Hong Kong should seize opportunities in the fast-growing field of artificial intelligence, Financial Secretary Paul Chan Mo-po said. Chan’s remark came as Ng Teng Fong Charitable Foundation and Sino Group pledged HK$200 million to support the Hong Kong Generative AI Research and Development Center (HKGAI) under the InnoHK Research Clusters. Speaking at a donation ceremony held at the Central Government Offices, Chan highlighted the transformative potential of AI, which is reshaping global economies and industries. “AI is not just a critical industry on its own -- it’s a powerful tool that can enhance and integrate deeply into various sectors,” he said. Chan pointed to the central government’s recent work report during the Two Sessions in Beijing, which emphasized advancing the “AI Plus” initiative and promoting the widespread use of AI models. He stressed that Hong Kong is uniquely positioned to capitalize on these opportunities with its strong research capabilities and global reputation. “Three of our local universities are ranked among the top 25 globally in AI and data science disciplines,” Chan said. He added that as an international financial hub and a magnet for talent, Hong Kong can provide robust financial and human resources to support the AI industry. Daryl Ng Win-kong, Deputy Chairman of Sino Group and Director of the Ng Teng Fong Charitable Foundation, expressed pride in supporting Hong Kong’s AI ambitions. He added that the funds will help launch public dialogue services for HKGAI V1, the city’s first locally developed generative AI model, making AI more accessible to businesses and the public. Guo Yike, provost of the Hong Kong University of Science and Technology and director of HKGAI, said the center will utilize the funds to improve the AI ecosystem, build high-security AI computing power and data platforms, and to advance the HKGAI model for real-world applications. Secretary for Innovation, Technology and Industry Sun Dong, speaking after the ceremony, hailed the donation as a milestone in Hong Kong’s AI development, including accelerating the launch of HKGAI public dialogue service platform. “AI should serve the broader society, and the introduction of this platform will contribute to Hong Kong’s high-quality development,” Sun said, calling for increased investment from the private sector to support AI development. When asked about potential budget cuts, Sun acknowledged that his bureau, like other government departments, would face fiscal constraints. However, he assured that support for AI, identified as a key industry for Hong Kong, would remain a priority. “In times of fiscal tightening, our support will be more focused and targeted, but we will continue to invest in critical areas such as AI,” Sun said. (Ayra Wang)
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Hong Kong should seize opportunities in the fast-growing field of artificial intelligence, Financial Secretary Paul Chan Mo-po said. Chan’s remark came as Ng Teng Fong Charitable Foundation and Sino Group pledged HK$200 million to support the Hong Kong Generative AI Research and Development Center (HKGAI) under the InnoHK Research Clusters. Speaking at a donation ceremony held at the Central Government Offices, Chan highlighted the transformative potential of AI, which is reshaping global economies and industries. “AI is not just a critical industry on its own -- it’s a powerful tool that can enhance and integrate deeply into various sectors,” he said. Chan pointed to the central government’s recent work report during the Two Sessions in Beijing, which emphasized advancing the “AI Plus” initiative and promoting the widespread use of AI models. He stressed that Hong Kong is uniquely positioned to capitalize on these opportunities with its strong research capabilities and global reputation. “Three of our local universities are ranked among the top 25 globally in AI and data science disciplines,” Chan said. He added that as an international financial hub and a magnet for talent, Hong Kong can provide robust financial and human resources to support the AI industry. Daryl Ng Win-kong, Deputy Chairman of Sino Group and Director of the Ng Teng Fong Charitable Foundation, expressed pride in supporting Hong Kong’s AI ambitions. He added that the funds will help launch public dialogue services for HKGAI V1, the city’s first locally developed generative AI model, making AI more accessible to businesses and the public. Guo Yike, provost of the Hong Kong University of Science and Technology and director of HKGAI, said the center will utilize the funds to improve the AI ecosystem, build high-security AI computing power and data platforms, and to advance the HKGAI model for real-world applications. Secretary for Innovation, Technology and Industry Sun Dong, speaking after the ceremony, hailed the donation as a milestone in Hong Kong’s AI development, including accelerating the launch of HKGAI public dialogue service platform. “AI should serve the broader society, and the introduction of this platform will contribute to Hong Kong’s high-quality development,” Sun said, calling for increased investment from the private sector to support AI development. When asked about potential budget cuts, Sun acknowledged that his bureau, like other government departments, would face fiscal constraints. However, he assured that support for AI, identified as a key industry for Hong Kong, would remain a priority. “In times of fiscal tightening, our support will be more focused and targeted, but we will continue to invest in critical areas such as AI,” Sun said. (Ayra Wang)
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Hon Hai unveils traditional Chinese AI model Staff writer, with CNA Hon Hai Precision Industry Co today said that its research institute has launched its first traditional Chinese version of an advanced artificial intelligence (AI) large language model (LLM), with technology assistance from US-based AI chip designer Nvidia Corp. Hon Hai, which assembles iPhones and also rolls out AI servers in close cooperation with Nvidia, said the LLM, coded FoxBrain, is expected to strengthen its data analysis capabilities for future smart manufacturing, and electric vehicle and smart city development. The Hon Hai Precision Industry Co logo is pictured outside the company’s headquarters in New Taipei City’s Tucheng District on Feb. 17 last year. Photo: CNA An LLM is a type of machine learning model designed for natural language processing tasks such as language generation, and it plays an important role in the development of AI servers. Nvidia provided assistance and consultation through its "Taipei-1" supercomputer, allowing the Hon Hai Research Institute to use the Nvidia NeMo AI service platform to complete the training of the FoxBrain LLM, Hon Hai said in statement. During the training process of the FoxBrain platform, the AI research team used 120 Nvidia H100 graphics processing units (CUPs) and Nvidia Quantum-2, the seventh generation of the Nvidia InfiniBand, which gives AI developers and scientific researchers the fastest networking performance, Hon Hai said. The training was completed in only four weeks at a low cost, but with high efficiency, said Hon Hai, the world's largest contract electronics manufacturer. The FoxBrain model shows understanding and reasoning capabilities, performs well in mathematics and logical reasoning tests, and enhances the language style of Taiwanese users, the company said. The model covers a wide range of areas such as data analysis, decisionmaking aid, writing assistance, mathematics, code generation and problem solving through its inferential capability, the statement said. In the future, FoxBrain would be made open source, providing AI computing codes to other enterprises and researchers, thus allowing them to use LLM technologies to promote their own products, Hon Hai said. The FoxBrain platform has made significant progress in math tests, compared with the top ranked Chinese-language model Taiwan Llama, and it surpasses Meta's current models at the same level in terms of mathematical reasoning ability, Hon Hai said. While FoxBrain is still a little behind the China-based AI startup DeepSeek, its performance is already close to the best in the world, Hon Hai said. The FoxBrain platform is expected to drive the growth of smart devices and help advance applications in manufacturing, supply chain management and smart decision making, based on AI development, the company said. The Taiwanese manufacturing giant is scheduled to highlight FoxBrain at Nvidia's GPU technology conference in San Jose, California, which is to kick off on Monday next week. Hon Hai is to present the achievements in a keynote speech titled "From Open Source to Frontier AI: Build, Customize and Extend Foundation Models." In recent years, Hon Hai has intensified its efforts to diversify its product portfolio through its "3 plus 3" strategy in a bid to transition from solely contract manufacturing into hardware and software fields. The initiative covers three emerging industries — EVs, robots and digital healthcare — which the company said it is developing via AI, semiconductor and communications technologies, with EVs as the core business.
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Hon Hai unveils traditional Chinese AI model Staff writer, with CNA Hon Hai Precision Industry Co today said that its research institute has launched its first traditional Chinese version of an advanced artificial intelligence (AI) large language model (LLM), with technology assistance from US-based AI chip designer Nvidia Corp. Hon Hai, which assembles iPhones and also rolls out AI servers in close cooperation with Nvidia, said the LLM, coded FoxBrain, is expected to strengthen its data analysis capabilities for future smart manufacturing, and electric vehicle and smart city development. The Hon Hai Precision Industry Co logo is pictured outside the company’s headquarters in New Taipei City’s Tucheng District on Feb. 17 last year. Photo: CNA An LLM is a type of machine learning model designed for natural language processing tasks such as language generation, and it plays an important role in the development of AI servers. Nvidia provided assistance and consultation through its "Taipei-1" supercomputer, allowing the Hon Hai Research Institute to use the Nvidia NeMo AI service platform to complete the training of the FoxBrain LLM, Hon Hai said in statement. During the training process of the FoxBrain platform, the AI research team used 120 Nvidia H100 graphics processing units (CUPs) and Nvidia Quantum-2, the seventh generation of the Nvidia InfiniBand, which gives AI developers and scientific researchers the fastest networking performance, Hon Hai said. The training was completed in only four weeks at a low cost, but with high efficiency, said Hon Hai, the world's largest contract electronics manufacturer. The FoxBrain model shows understanding and reasoning capabilities, performs well in mathematics and logical reasoning tests, and enhances the language style of Taiwanese users, the company said. The model covers a wide range of areas such as data analysis, decisionmaking aid, writing assistance, mathematics, code generation and problem solving through its inferential capability, the statement said. In the future, FoxBrain would be made open source, providing AI computing codes to other enterprises and researchers, thus allowing them to use LLM technologies to promote their own products, Hon Hai said. The FoxBrain platform has made significant progress in math tests, compared with the top ranked Chinese-language model Taiwan Llama, and it surpasses Meta's current models at the same level in terms of mathematical reasoning ability, Hon Hai said. While FoxBrain is still a little behind the China-based AI startup DeepSeek, its performance is already close to the best in the world, Hon Hai said. The FoxBrain platform is expected to drive the growth of smart devices and help advance applications in manufacturing, supply chain management and smart decision making, based on AI development, the company said. The Taiwanese manufacturing giant is scheduled to highlight FoxBrain at Nvidia's GPU technology conference in San Jose, California, which is to kick off on Monday next week. Hon Hai is to present the achievements in a keynote speech titled "From Open Source to Frontier AI: Build, Customize and Extend Foundation Models." In recent years, Hon Hai has intensified its efforts to diversify its product portfolio through its "3 plus 3" strategy in a bid to transition from solely contract manufacturing into hardware and software fields. The initiative covers three emerging industries — EVs, robots and digital healthcare — which the company said it is developing via AI, semiconductor and communications technologies, with EVs as the core business.
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Hon Hai unveils traditional Chinese AI model Staff writer, with CNA Hon Hai Precision Industry Co today said that its research institute has launched its first traditional Chinese version of an advanced artificial intelligence (AI) large language model (LLM), with technology assistance from US-based AI chip designer Nvidia Corp. Hon Hai, which assembles iPhones and also rolls out AI servers in close cooperation with Nvidia, said the LLM, coded FoxBrain, is expected to strengthen its data analysis capabilities for future smart manufacturing, and electric vehicle and smart city development. The Hon Hai Precision Industry Co logo is pictured outside the company’s headquarters in New Taipei City’s Tucheng District on Feb. 17 last year. Photo: CNA An LLM is a type of machine learning model designed for natural language processing tasks such as language generation, and it plays an important role in the development of AI servers. Nvidia provided assistance and consultation through its "Taipei-1" supercomputer, allowing the Hon Hai Research Institute to use the Nvidia NeMo AI service platform to complete the training of the FoxBrain LLM, Hon Hai said in statement. During the training process of the FoxBrain platform, the AI research team used 120 Nvidia H100 graphics processing units (CUPs) and Nvidia Quantum-2, the seventh generation of the Nvidia InfiniBand, which gives AI developers and scientific researchers the fastest networking performance, Hon Hai said. The training was completed in only four weeks at a low cost, but with high efficiency, said Hon Hai, the world's largest contract electronics manufacturer. The FoxBrain model shows understanding and reasoning capabilities, performs well in mathematics and logical reasoning tests, and enhances the language style of Taiwanese users, the company said. The model covers a wide range of areas such as data analysis, decisionmaking aid, writing assistance, mathematics, code generation and problem solving through its inferential capability, the statement said. In the future, FoxBrain would be made open source, providing AI computing codes to other enterprises and researchers, thus allowing them to use LLM technologies to promote their own products, Hon Hai said. The FoxBrain platform has made significant progress in math tests, compared with the top ranked Chinese-language model Taiwan Llama, and it surpasses Meta's current models at the same level in terms of mathematical reasoning ability, Hon Hai said. While FoxBrain is still a little behind the China-based AI startup DeepSeek, its performance is already close to the best in the world, Hon Hai said. The FoxBrain platform is expected to drive the growth of smart devices and help advance applications in manufacturing, supply chain management and smart decision making, based on AI development, the company said. The Taiwanese manufacturing giant is scheduled to highlight FoxBrain at Nvidia's GPU technology conference in San Jose, California, which is to kick off on Monday next week. Hon Hai is to present the achievements in a keynote speech titled "From Open Source to Frontier AI: Build, Customize and Extend Foundation Models." In recent years, Hon Hai has intensified its efforts to diversify its product portfolio through its "3 plus 3" strategy in a bid to transition from solely contract manufacturing into hardware and software fields. The initiative covers three emerging industries — EVs, robots and digital healthcare — which the company said it is developing via AI, semiconductor and communications technologies, with EVs as the core business.
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Hon Hai unveils traditional Chinese AI model Staff writer, with CNA Hon Hai Precision Industry Co today said that its research institute has launched its first traditional Chinese version of an advanced artificial intelligence (AI) large language model (LLM), with technology assistance from US-based AI chip designer Nvidia Corp. Hon Hai, which assembles iPhones and also rolls out AI servers in close cooperation with Nvidia, said the LLM, coded FoxBrain, is expected to strengthen its data analysis capabilities for future smart manufacturing, and electric vehicle and smart city development. The Hon Hai Precision Industry Co logo is pictured outside the company’s headquarters in New Taipei City’s Tucheng District on Feb. 17 last year. Photo: CNA An LLM is a type of machine learning model designed for natural language processing tasks such as language generation, and it plays an important role in the development of AI servers. Nvidia provided assistance and consultation through its "Taipei-1" supercomputer, allowing the Hon Hai Research Institute to use the Nvidia NeMo AI service platform to complete the training of the FoxBrain LLM, Hon Hai said in statement. During the training process of the FoxBrain platform, the AI research team used 120 Nvidia H100 graphics processing units (CUPs) and Nvidia Quantum-2, the seventh generation of the Nvidia InfiniBand, which gives AI developers and scientific researchers the fastest networking performance, Hon Hai said. The training was completed in only four weeks at a low cost, but with high efficiency, said Hon Hai, the world's largest contract electronics manufacturer. The FoxBrain model shows understanding and reasoning capabilities, performs well in mathematics and logical reasoning tests, and enhances the language style of Taiwanese users, the company said. The model covers a wide range of areas such as data analysis, decisionmaking aid, writing assistance, mathematics, code generation and problem solving through its inferential capability, the statement said. In the future, FoxBrain would be made open source, providing AI computing codes to other enterprises and researchers, thus allowing them to use LLM technologies to promote their own products, Hon Hai said. The FoxBrain platform has made significant progress in math tests, compared with the top ranked Chinese-language model Taiwan Llama, and it surpasses Meta's current models at the same level in terms of mathematical reasoning ability, Hon Hai said. While FoxBrain is still a little behind the China-based AI startup DeepSeek, its performance is already close to the best in the world, Hon Hai said. The FoxBrain platform is expected to drive the growth of smart devices and help advance applications in manufacturing, supply chain management and smart decision making, based on AI development, the company said. The Taiwanese manufacturing giant is scheduled to highlight FoxBrain at Nvidia's GPU technology conference in San Jose, California, which is to kick off on Monday next week. Hon Hai is to present the achievements in a keynote speech titled "From Open Source to Frontier AI: Build, Customize and Extend Foundation Models." In recent years, Hon Hai has intensified its efforts to diversify its product portfolio through its "3 plus 3" strategy in a bid to transition from solely contract manufacturing into hardware and software fields. The initiative covers three emerging industries — EVs, robots and digital healthcare — which the company said it is developing via AI, semiconductor and communications technologies, with EVs as the core business.
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Hon Hai unveils traditional Chinese AI model Staff writer, with CNA Hon Hai Precision Industry Co today said that its research institute has launched its first traditional Chinese version of an advanced artificial intelligence (AI) large language model (LLM), with technology assistance from US-based AI chip designer Nvidia Corp. Hon Hai, which assembles iPhones and also rolls out AI servers in close cooperation with Nvidia, said the LLM, coded FoxBrain, is expected to strengthen its data analysis capabilities for future smart manufacturing, and electric vehicle and smart city development. The Hon Hai Precision Industry Co logo is pictured outside the company’s headquarters in New Taipei City’s Tucheng District on Feb. 17 last year. Photo: CNA An LLM is a type of machine learning model designed for natural language processing tasks such as language generation, and it plays an important role in the development of AI servers. Nvidia provided assistance and consultation through its "Taipei-1" supercomputer, allowing the Hon Hai Research Institute to use the Nvidia NeMo AI service platform to complete the training of the FoxBrain LLM, Hon Hai said in statement. During the training process of the FoxBrain platform, the AI research team used 120 Nvidia H100 graphics processing units (CUPs) and Nvidia Quantum-2, the seventh generation of the Nvidia InfiniBand, which gives AI developers and scientific researchers the fastest networking performance, Hon Hai said. The training was completed in only four weeks at a low cost, but with high efficiency, said Hon Hai, the world's largest contract electronics manufacturer. The FoxBrain model shows understanding and reasoning capabilities, performs well in mathematics and logical reasoning tests, and enhances the language style of Taiwanese users, the company said. The model covers a wide range of areas such as data analysis, decisionmaking aid, writing assistance, mathematics, code generation and problem solving through its inferential capability, the statement said. In the future, FoxBrain would be made open source, providing AI computing codes to other enterprises and researchers, thus allowing them to use LLM technologies to promote their own products, Hon Hai said. The FoxBrain platform has made significant progress in math tests, compared with the top ranked Chinese-language model Taiwan Llama, and it surpasses Meta's current models at the same level in terms of mathematical reasoning ability, Hon Hai said. While FoxBrain is still a little behind the China-based AI startup DeepSeek, its performance is already close to the best in the world, Hon Hai said. The FoxBrain platform is expected to drive the growth of smart devices and help advance applications in manufacturing, supply chain management and smart decision making, based on AI development, the company said. The Taiwanese manufacturing giant is scheduled to highlight FoxBrain at Nvidia's GPU technology conference in San Jose, California, which is to kick off on Monday next week. Hon Hai is to present the achievements in a keynote speech titled "From Open Source to Frontier AI: Build, Customize and Extend Foundation Models." In recent years, Hon Hai has intensified its efforts to diversify its product portfolio through its "3 plus 3" strategy in a bid to transition from solely contract manufacturing into hardware and software fields. The initiative covers three emerging industries — EVs, robots and digital healthcare — which the company said it is developing via AI, semiconductor and communications technologies, with EVs as the core business.
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Elon Musk lost the latest battle in his lawsuit against OpenAI this week, but a federal judge appears to have given Musk — and others who oppose OpenAI’s for-profit conversion — reasons to be hopeful. Musk’s suit against OpenAI, which also names Microsoft and OpenAI CEO Sam Altman as defendants, accuses OpenAI of abandoning its nonprofit mission to ensure its AI research benefits all humanity. OpenAI was founded as a nonprofit in 2015 but converted to a “capped-profit” structure in 2019, and now seeks to restructure once more into a public benefit corporation. Musk had sought a preliminary injunction to halt OpenAI’s transition to a for-profit. On Tuesday, a federal judge in Northern California, U.S. District Court Judge Yvonne Gonzalez Rogers, denied Musk’s request — yet expressed some jurisprudential concerns about OpenAI’s planned conversion. Judge Rogers said in her ruling denying the injunction that “significant and irreparable harm is incurred” when the public’s money is used to fund a nonprofit’s conversion into a for-profit. OpenAI’s nonprofit currently has a majority stake in OpenAI’s for-profit operations, and it reportedly stands to receive billions of dollars in compensation as a part of the transition. Judge Rogers also noted that several of OpenAI’s co-founders, including Altman and president Greg Brockman, made “foundational commitments” not to use OpenAI “as a vehicle to enrich themselves.” In her ruling, Judge Rogers said that the Court is prepared to offer an expedited trial in the fall of 2025 to resolve the corporate restructuring disputes. Marc Toberoff, a lawyer representing Musk, told TechCrunch that Musk’s legal team is pleased with the judge’s decision and intends to accept the offer for an expedited trial. OpenAI hasn’t said whether it’ll also accept and did not immediately respond to TechCrunch’s request for comment. Judge Rogers’ comments on OpenAI’s for-profit conversion aren’t exactly good news for the company. Tyler Whitmer, a lawyer representing Encode, a nonprofit that filed an amicus brief in the case arguing that OpenAI’s for-profit conversion could jeopardize AI safety, told TechCrunch that Judge Rogers’ decision puts a “cloud” of regulatory uncertainty over OpenAI’s board of directors. Attorneys general in California and Delaware are already investigating the transition, and the concerns Judge Rogers raised could embolden them to probe more aggressively, Whitmer said. There were some wins for OpenAI in Judge Rogers’ ruling. The evidence Musk’s legal team presented to show that OpenAI breached a contract in accepting around $44 million in donations from Musk, then taking steps to convert to a for-profit, was “insufficient for purposes of the high burden required for a preliminary injunction,” Judge Rogers found. In her ruling, the judge pointed out that some emails submitted as exhibits showed Musk himself considering that OpenAI might become a for-profit company someday. Judge Rogers also said that Musk’s AI company, xAI, a plaintiff in the case, failed to demonstrate that it would suffer “irreparable harm” should OpenAI’s for-profit conversion not be enjoined. Judge Rogers was also unpersuaded by the plaintiffs’ arguments that OpenAI’s close collaborator and investor, Microsoft, would violate interlocking directorate laws and that Musk has standing under a California provision prohibiting self-dealing. Musk, once a key supporter of OpenAI, has positioned himself as one of the company’s greatest adversaries. xAI competes directly with OpenAI in developing frontier AI models, and Musk and Altman now find themselves jockeying for legal and political power under a new presidential administration. The stakes are high for OpenAI. The company reportedly needs to complete its for-profit conversion by 2026, or some of the capital OpenAI recently raised could convert to debt. At least one former OpenAI employee is fearful of the implications for AI governance should OpenAI successfully complete its transition. Speaking to TechCrunch on the condition of anonymity to protect their future job prospects, the ex-employee said they believe the startup’s conversion could threaten public safety. Part of the motivation behind OpenAI’s nonprofit structure was to ensure that profit motives don’t override its mission: ensuring AI research benefits all of humanity. However, if OpenAI becomes a traditional for-profit company, there may be little to stop it from prioritizing profit above all else, the former employee told TechCrunch. The ex-employee added that OpenAI’s nonprofit structure was one of the main reasons they joined the organization. Just a few months from now, it should become clearer how many hurdles OpenAI will have to overcome in its for-profit transition. Regulators, AI safety advocates, and tech investors will be watching with great interest.
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Elon Musk lost the latest battle in his lawsuit against OpenAI this week, but a federal judge appears to have given Musk — and others who oppose OpenAI’s for-profit conversion — reasons to be hopeful. Musk’s suit against OpenAI, which also names Microsoft and OpenAI CEO Sam Altman as defendants, accuses OpenAI of abandoning its nonprofit mission to ensure its AI research benefits all humanity. OpenAI was founded as a nonprofit in 2015 but converted to a “capped-profit” structure in 2019, and now seeks to restructure once more into a public benefit corporation. Musk had sought a preliminary injunction to halt OpenAI’s transition to a for-profit. On Tuesday, a federal judge in Northern California, U.S. District Court Judge Yvonne Gonzalez Rogers, denied Musk’s request — yet expressed some jurisprudential concerns about OpenAI’s planned conversion. Judge Rogers said in her ruling denying the injunction that “significant and irreparable harm is incurred” when the public’s money is used to fund a nonprofit’s conversion into a for-profit. OpenAI’s nonprofit currently has a majority stake in OpenAI’s for-profit operations, and it reportedly stands to receive billions of dollars in compensation as a part of the transition. Judge Rogers also noted that several of OpenAI’s co-founders, including Altman and president Greg Brockman, made “foundational commitments” not to use OpenAI “as a vehicle to enrich themselves.” In her ruling, Judge Rogers said that the Court is prepared to offer an expedited trial in the fall of 2025 to resolve the corporate restructuring disputes. Marc Toberoff, a lawyer representing Musk, told TechCrunch that Musk’s legal team is pleased with the judge’s decision and intends to accept the offer for an expedited trial. OpenAI hasn’t said whether it’ll also accept and did not immediately respond to TechCrunch’s request for comment. Judge Rogers’ comments on OpenAI’s for-profit conversion aren’t exactly good news for the company. Tyler Whitmer, a lawyer representing Encode, a nonprofit that filed an amicus brief in the case arguing that OpenAI’s for-profit conversion could jeopardize AI safety, told TechCrunch that Judge Rogers’ decision puts a “cloud” of regulatory uncertainty over OpenAI’s board of directors. Attorneys general in California and Delaware are already investigating the transition, and the concerns Judge Rogers raised could embolden them to probe more aggressively, Whitmer said. There were some wins for OpenAI in Judge Rogers’ ruling. The evidence Musk’s legal team presented to show that OpenAI breached a contract in accepting around $44 million in donations from Musk, then taking steps to convert to a for-profit, was “insufficient for purposes of the high burden required for a preliminary injunction,” Judge Rogers found. In her ruling, the judge pointed out that some emails submitted as exhibits showed Musk himself considering that OpenAI might become a for-profit company someday. Judge Rogers also said that Musk’s AI company, xAI, a plaintiff in the case, failed to demonstrate that it would suffer “irreparable harm” should OpenAI’s for-profit conversion not be enjoined. Judge Rogers was also unpersuaded by the plaintiffs’ arguments that OpenAI’s close collaborator and investor, Microsoft, would violate interlocking directorate laws and that Musk has standing under a California provision prohibiting self-dealing. Musk, once a key supporter of OpenAI, has positioned himself as one of the company’s greatest adversaries. xAI competes directly with OpenAI in developing frontier AI models, and Musk and Altman now find themselves jockeying for legal and political power under a new presidential administration. The stakes are high for OpenAI. The company reportedly needs to complete its for-profit conversion by 2026, or some of the capital OpenAI recently raised could convert to debt. At least one former OpenAI employee is fearful of the implications for AI governance should OpenAI successfully complete its transition. Speaking to TechCrunch on the condition of anonymity to protect their future job prospects, the ex-employee said they believe the startup’s conversion could threaten public safety. Part of the motivation behind OpenAI’s nonprofit structure was to ensure that profit motives don’t override its mission: ensuring AI research benefits all of humanity. However, if OpenAI becomes a traditional for-profit company, there may be little to stop it from prioritizing profit above all else, the former employee told TechCrunch. The ex-employee added that OpenAI’s nonprofit structure was one of the main reasons they joined the organization. Just a few months from now, it should become clearer how many hurdles OpenAI will have to overcome in its for-profit transition. Regulators, AI safety advocates, and tech investors will be watching with great interest.
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Elon Musk lost the latest battle in his lawsuit against OpenAI this week, but a federal judge appears to have given Musk — and others who oppose OpenAI’s for-profit conversion — reasons to be hopeful. Musk’s suit against OpenAI, which also names Microsoft and OpenAI CEO Sam Altman as defendants, accuses OpenAI of abandoning its nonprofit mission to ensure its AI research benefits all humanity. OpenAI was founded as a nonprofit in 2015 but converted to a “capped-profit” structure in 2019, and now seeks to restructure once more into a public benefit corporation. Musk had sought a preliminary injunction to halt OpenAI’s transition to a for-profit. On Tuesday, a federal judge in Northern California, U.S. District Court Judge Yvonne Gonzalez Rogers, denied Musk’s request — yet expressed some jurisprudential concerns about OpenAI’s planned conversion. Judge Rogers said in her ruling denying the injunction that “significant and irreparable harm is incurred” when the public’s money is used to fund a nonprofit’s conversion into a for-profit. OpenAI’s nonprofit currently has a majority stake in OpenAI’s for-profit operations, and it reportedly stands to receive billions of dollars in compensation as a part of the transition. Judge Rogers also noted that several of OpenAI’s co-founders, including Altman and president Greg Brockman, made “foundational commitments” not to use OpenAI “as a vehicle to enrich themselves.” In her ruling, Judge Rogers said that the Court is prepared to offer an expedited trial in the fall of 2025 to resolve the corporate restructuring disputes. Marc Toberoff, a lawyer representing Musk, told TechCrunch that Musk’s legal team is pleased with the judge’s decision and intends to accept the offer for an expedited trial. OpenAI hasn’t said whether it’ll also accept and did not immediately respond to TechCrunch’s request for comment. Judge Rogers’ comments on OpenAI’s for-profit conversion aren’t exactly good news for the company. Tyler Whitmer, a lawyer representing Encode, a nonprofit that filed an amicus brief in the case arguing that OpenAI’s for-profit conversion could jeopardize AI safety, told TechCrunch that Judge Rogers’ decision puts a “cloud” of regulatory uncertainty over OpenAI’s board of directors. Attorneys general in California and Delaware are already investigating the transition, and the concerns Judge Rogers raised could embolden them to probe more aggressively, Whitmer said. There were some wins for OpenAI in Judge Rogers’ ruling. The evidence Musk’s legal team presented to show that OpenAI breached a contract in accepting around $44 million in donations from Musk, then taking steps to convert to a for-profit, was “insufficient for purposes of the high burden required for a preliminary injunction,” Judge Rogers found. In her ruling, the judge pointed out that some emails submitted as exhibits showed Musk himself considering that OpenAI might become a for-profit company someday. Judge Rogers also said that Musk’s AI company, xAI, a plaintiff in the case, failed to demonstrate that it would suffer “irreparable harm” should OpenAI’s for-profit conversion not be enjoined. Judge Rogers was also unpersuaded by the plaintiffs’ arguments that OpenAI’s close collaborator and investor, Microsoft, would violate interlocking directorate laws and that Musk has standing under a California provision prohibiting self-dealing. Musk, once a key supporter of OpenAI, has positioned himself as one of the company’s greatest adversaries. xAI competes directly with OpenAI in developing frontier AI models, and Musk and Altman now find themselves jockeying for legal and political power under a new presidential administration. The stakes are high for OpenAI. The company reportedly needs to complete its for-profit conversion by 2026, or some of the capital OpenAI recently raised could convert to debt. At least one former OpenAI employee is fearful of the implications for AI governance should OpenAI successfully complete its transition. Speaking to TechCrunch on the condition of anonymity to protect their future job prospects, the ex-employee said they believe the startup’s conversion could threaten public safety. Part of the motivation behind OpenAI’s nonprofit structure was to ensure that profit motives don’t override its mission: ensuring AI research benefits all of humanity. However, if OpenAI becomes a traditional for-profit company, there may be little to stop it from prioritizing profit above all else, the former employee told TechCrunch. The ex-employee added that OpenAI’s nonprofit structure was one of the main reasons they joined the organization. Just a few months from now, it should become clearer how many hurdles OpenAI will have to overcome in its for-profit transition. Regulators, AI safety advocates, and tech investors will be watching with great interest.
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Elon Musk lost the latest battle in his lawsuit against OpenAI this week, but a federal judge appears to have given Musk — and others who oppose OpenAI’s for-profit conversion — reasons to be hopeful. Musk’s suit against OpenAI, which also names Microsoft and OpenAI CEO Sam Altman as defendants, accuses OpenAI of abandoning its nonprofit mission to ensure its AI research benefits all humanity. OpenAI was founded as a nonprofit in 2015 but converted to a “capped-profit” structure in 2019, and now seeks to restructure once more into a public benefit corporation. Musk had sought a preliminary injunction to halt OpenAI’s transition to a for-profit. On Tuesday, a federal judge in Northern California, U.S. District Court Judge Yvonne Gonzalez Rogers, denied Musk’s request — yet expressed some jurisprudential concerns about OpenAI’s planned conversion. Judge Rogers said in her ruling denying the injunction that “significant and irreparable harm is incurred” when the public’s money is used to fund a nonprofit’s conversion into a for-profit. OpenAI’s nonprofit currently has a majority stake in OpenAI’s for-profit operations, and it reportedly stands to receive billions of dollars in compensation as a part of the transition. Judge Rogers also noted that several of OpenAI’s co-founders, including Altman and president Greg Brockman, made “foundational commitments” not to use OpenAI “as a vehicle to enrich themselves.” In her ruling, Judge Rogers said that the Court is prepared to offer an expedited trial in the fall of 2025 to resolve the corporate restructuring disputes. Marc Toberoff, a lawyer representing Musk, told TechCrunch that Musk’s legal team is pleased with the judge’s decision and intends to accept the offer for an expedited trial. OpenAI hasn’t said whether it’ll also accept and did not immediately respond to TechCrunch’s request for comment. Judge Rogers’ comments on OpenAI’s for-profit conversion aren’t exactly good news for the company. Tyler Whitmer, a lawyer representing Encode, a nonprofit that filed an amicus brief in the case arguing that OpenAI’s for-profit conversion could jeopardize AI safety, told TechCrunch that Judge Rogers’ decision puts a “cloud” of regulatory uncertainty over OpenAI’s board of directors. Attorneys general in California and Delaware are already investigating the transition, and the concerns Judge Rogers raised could embolden them to probe more aggressively, Whitmer said. There were some wins for OpenAI in Judge Rogers’ ruling. The evidence Musk’s legal team presented to show that OpenAI breached a contract in accepting around $44 million in donations from Musk, then taking steps to convert to a for-profit, was “insufficient for purposes of the high burden required for a preliminary injunction,” Judge Rogers found. In her ruling, the judge pointed out that some emails submitted as exhibits showed Musk himself considering that OpenAI might become a for-profit company someday. Judge Rogers also said that Musk’s AI company, xAI, a plaintiff in the case, failed to demonstrate that it would suffer “irreparable harm” should OpenAI’s for-profit conversion not be enjoined. Judge Rogers was also unpersuaded by the plaintiffs’ arguments that OpenAI’s close collaborator and investor, Microsoft, would violate interlocking directorate laws and that Musk has standing under a California provision prohibiting self-dealing. Musk, once a key supporter of OpenAI, has positioned himself as one of the company’s greatest adversaries. xAI competes directly with OpenAI in developing frontier AI models, and Musk and Altman now find themselves jockeying for legal and political power under a new presidential administration. The stakes are high for OpenAI. The company reportedly needs to complete its for-profit conversion by 2026, or some of the capital OpenAI recently raised could convert to debt. At least one former OpenAI employee is fearful of the implications for AI governance should OpenAI successfully complete its transition. Speaking to TechCrunch on the condition of anonymity to protect their future job prospects, the ex-employee said they believe the startup’s conversion could threaten public safety. Part of the motivation behind OpenAI’s nonprofit structure was to ensure that profit motives don’t override its mission: ensuring AI research benefits all of humanity. However, if OpenAI becomes a traditional for-profit company, there may be little to stop it from prioritizing profit above all else, the former employee told TechCrunch. The ex-employee added that OpenAI’s nonprofit structure was one of the main reasons they joined the organization. Just a few months from now, it should become clearer how many hurdles OpenAI will have to overcome in its for-profit transition. Regulators, AI safety advocates, and tech investors will be watching with great interest.
5
Elon Musk lost the latest battle in his lawsuit against OpenAI this week, but a federal judge appears to have given Musk — and others who oppose OpenAI’s for-profit conversion — reasons to be hopeful. Musk’s suit against OpenAI, which also names Microsoft and OpenAI CEO Sam Altman as defendants, accuses OpenAI of abandoning its nonprofit mission to ensure its AI research benefits all humanity. OpenAI was founded as a nonprofit in 2015 but converted to a “capped-profit” structure in 2019, and now seeks to restructure once more into a public benefit corporation. Musk had sought a preliminary injunction to halt OpenAI’s transition to a for-profit. On Tuesday, a federal judge in Northern California, U.S. District Court Judge Yvonne Gonzalez Rogers, denied Musk’s request — yet expressed some jurisprudential concerns about OpenAI’s planned conversion. Judge Rogers said in her ruling denying the injunction that “significant and irreparable harm is incurred” when the public’s money is used to fund a nonprofit’s conversion into a for-profit. OpenAI’s nonprofit currently has a majority stake in OpenAI’s for-profit operations, and it reportedly stands to receive billions of dollars in compensation as a part of the transition. Judge Rogers also noted that several of OpenAI’s co-founders, including Altman and president Greg Brockman, made “foundational commitments” not to use OpenAI “as a vehicle to enrich themselves.” In her ruling, Judge Rogers said that the Court is prepared to offer an expedited trial in the fall of 2025 to resolve the corporate restructuring disputes. Marc Toberoff, a lawyer representing Musk, told TechCrunch that Musk’s legal team is pleased with the judge’s decision and intends to accept the offer for an expedited trial. OpenAI hasn’t said whether it’ll also accept and did not immediately respond to TechCrunch’s request for comment. Judge Rogers’ comments on OpenAI’s for-profit conversion aren’t exactly good news for the company. Tyler Whitmer, a lawyer representing Encode, a nonprofit that filed an amicus brief in the case arguing that OpenAI’s for-profit conversion could jeopardize AI safety, told TechCrunch that Judge Rogers’ decision puts a “cloud” of regulatory uncertainty over OpenAI’s board of directors. Attorneys general in California and Delaware are already investigating the transition, and the concerns Judge Rogers raised could embolden them to probe more aggressively, Whitmer said. There were some wins for OpenAI in Judge Rogers’ ruling. The evidence Musk’s legal team presented to show that OpenAI breached a contract in accepting around $44 million in donations from Musk, then taking steps to convert to a for-profit, was “insufficient for purposes of the high burden required for a preliminary injunction,” Judge Rogers found. In her ruling, the judge pointed out that some emails submitted as exhibits showed Musk himself considering that OpenAI might become a for-profit company someday. Judge Rogers also said that Musk’s AI company, xAI, a plaintiff in the case, failed to demonstrate that it would suffer “irreparable harm” should OpenAI’s for-profit conversion not be enjoined. Judge Rogers was also unpersuaded by the plaintiffs’ arguments that OpenAI’s close collaborator and investor, Microsoft, would violate interlocking directorate laws and that Musk has standing under a California provision prohibiting self-dealing. Musk, once a key supporter of OpenAI, has positioned himself as one of the company’s greatest adversaries. xAI competes directly with OpenAI in developing frontier AI models, and Musk and Altman now find themselves jockeying for legal and political power under a new presidential administration. The stakes are high for OpenAI. The company reportedly needs to complete its for-profit conversion by 2026, or some of the capital OpenAI recently raised could convert to debt. At least one former OpenAI employee is fearful of the implications for AI governance should OpenAI successfully complete its transition. Speaking to TechCrunch on the condition of anonymity to protect their future job prospects, the ex-employee said they believe the startup’s conversion could threaten public safety. Part of the motivation behind OpenAI’s nonprofit structure was to ensure that profit motives don’t override its mission: ensuring AI research benefits all of humanity. However, if OpenAI becomes a traditional for-profit company, there may be little to stop it from prioritizing profit above all else, the former employee told TechCrunch. The ex-employee added that OpenAI’s nonprofit structure was one of the main reasons they joined the organization. Just a few months from now, it should become clearer how many hurdles OpenAI will have to overcome in its for-profit transition. Regulators, AI safety advocates, and tech investors will be watching with great interest.
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