Huawei HiAI - Enabling AI for Everyone
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Jui, Shang - Ling
Voropaev, Pavel
Sa, Lina
Dr. Jui, Chief Scientist of AI from Huawei will talk about enabling AI for everyone with new dedicated on-device AI hardware solutions. He will talk about the most important use cases and AI functions that will lead to greater personalization and engagement. In addition, he will also highlight some of the challenges developers face when adding AI functionality to their applications and what tools and solutions exist to overcome these challenges and enable best-in-class functionality.
 Yeah, I can't really show how to mind for truck of those market. I will have a good mark That's a filigree stay from awesome. Uh, don't come this again. I'm a share my for truck in English Okay, uh, my name my name is a Shandree Works no, no, no I'm not a high chief scientist of Huawei Huawei's I think one of the biggest telecommunication company in the world with around 180,000 employers and In my team They are around I can disclose a number about it's the hundreds hundreds of best talents many of them up HD working on On On designing implementing and realizing cutting-edge AI models for different purpose mainly focusing on computer vision and Net natural language processing, but also for to some extent of the decision engine So recommendation engine and the search engine as well It works now Uh, okay great. Well, so As oh as known known to all of us with minute AI technology is processing very fast. We can observe a gap However, we can observe a gap on the one hand on the one hand there are there are a few a few smart mobile providers such as Huawei keep developing more and more capabilities onto the device however We although we are a big company We are still not able to cover all the needs of hundreds of millions users and But on the other hand, there are many developers of the communities and they have a very great idea about Limited skills to leverage all the AI capabilities of the mobile phone. So we should make our ecosystem partners focus focusing on their own Specific AI applications Fitting their targeted market and the wire Where we the platform or provider provides we develop platform and and with excellent AI models in the heart but Making it easy to use hiding all the technical complexity in particular in particularly related to the designing of algorithms Well, so summarizing all the purpose So summarizing all the problems we have been faced with related to AI in recent years and and It's a common problem talents are scarce resources and As I said as a beginning Huawei has a thousand hundreds in my department and thousands overall based talents AI talents in the world, but still We also believe we belong to the first league of the company but We are we are facing a very Very particular domain It's about bringing all the entire intelligence onto the device. So as to the constraints on the device, they are still very few research work Done in this area. So this is exactly our focus of research and also strengths and Advancement the first the constraints that we have been faced with is this In if it's insufficient resources As you know a device has a very limited resources in in computational power energy consumption and Data modeling data management, etc. We don't have the luxury of the resources on the cloud and the second constraint is low efficiencies in development and Developing any AI capability or mobile devices. I think as a whole life cycle is not as smooth as on the cloud so they are making a comprehensive effective and efficient IDE and So the development cycle of any AI models for devices is until today still very painstaking. So Yes, starting from collecting the training data and the training and the first designing and training the model on the cloud and We then because normally the model after being trained is has a hundreds of megabytes If not over gigabyte. So we need to minimize minimize the model size without Great loss of the accuracy then we download the model to the device and testing and of course in the first rounds of iterations the performance and accuracies are not normally sufficient so we have to loopy to do To do several rounds of it. Normally it will take Take much effort. So the process as of today is broken and still very time-consuming and efficient and the third constraint we have been faced with in terms of AI intelligence on the device is a fragmented capability in the area of Mobile intelligence. There are still many tiny and siloed models and fragmented also in the user experience Many models are similar mostly redundant, but they lack a structured and systematic approach in terms of a unified and coherent hardware and Sophia steak architecture and also a well organized training and testing data and management and also standard tasting method and criteria and all that has been More or less matured on the cloud, but not not in the world of mobile intelligence to that end the Red collaboration of a model development life cycle Among the devices among the telecommunication channel and also between between cloud and And devices need to be addressed. So so the last constraints we have has been faced with is Is Is a difficult Difficult improvement and upgrade problem. So so far as mentioned before the AI model is improving very fast It's a no model needs hundreds of iterations to become mature. So So So ideally it should be decoupled from the normal upgrade cycle such as for the operation system and the upgrade cycle for operating systems in Android world Normally taking not much longer time than then the upgrade cycle needed to require by AI model So we need to decouple Both cycles so the solution of Huawei to the challenge mentioned above is a is first we Design and develop our own AI chip. We I think that we belong to the first one Coming out with a I in my belief the base AI chips Optimized for for the intelligence computation on the device and so So apart from now our own device our AI AI chip we Based on this chip we also develop our AI engine and as well as AI a service layer and And the opening up to the ecosystem You're not sure our architecture of Of high air can be divided into four parts. So So they are they are from bottom up Huawei high air foundation Then up to the mid layer Huawei high-air engine Huawei higher services and And we have also developed an end-to-end IDE integrated development environment environment so talking about a High-air foundation is a corresponding to the chipset On the bottom to the chipset Converting and migrating existing models to obtain an optimal performance using and using heterogeneous scheduling and ampere select ampere is our Jagan ampere is is a specific processor architecture specially designed for the process of a tensor and In the mid layer we have a hallway high-high engine and corresponding to the mid to the device level with emphasis on simplicity So it's about opening up our AI AI our AIF capability able to integrate and compose different types of a component into more comprehensive Intelligent apps so the the upper layer Huawei high AI service is about Putting emphasis on achieving a win situation together with our partner So it's about to practically pushing pushing the service onto our users based on our users needs So preparing and enabling services beforehand and based on our prediction model on the device So looking more detail of our high AI architecture So again staff on the bottom Huawei high AI foundation compressor of a CPU GPU DSP and the NPU and Pugh is as I said is this our prop a product is also the core of our processor is which can create special designs for the processing of of a tensor computation and The normally with 50 times 5th time speed and also from N to N scenario normally 25 times and moving upwards So we have DDK is our environment is our library and also run runtime environment for offline mode and also we of course we support Android and N for online mode and also for its runtime engine and With this setup we are able to support a large variety of our frameworks is a is a is a color in red such as a most common one a Tender floor tensor for light cafe, etc. We also actively participating in in different open source communities such as On X and TVM So we are not only serving and supporting the most common commonly used framework be also actually actively involved and also influence in the open source community so In so doing to make sure that our high-air platform will be sustainable and also open have a more more Basis for openness and the generalization so moving up to higher engine engine is just Any physical engine of the car the design of the engine per se is normally very technology Intensive right we need a thousands of base engineers for the design of an engine But the operation and all the handling of the engine should be very simple right And also highly automated so so as a driver you don't need to know how the engine was built so So as I said, we have a hundred thousands of SN AI experts developing the core capability of cutting-edge Agresence and the bus on the other hand we ex in calculate and hide all the complexity Into our AI engine and making it easy to consume and also being robust so it present our engine focused on on CV computer computer vision focused on a SAR which is which is for the process of speech and the NLP is for the process of attacks and So far we already have a release 20 plus 20 plus different types of AI API and 19 plus operators and think our author said support is Support most commonly use operate such as convolution deconvolution LCM RNN will be covered so Along the whole stack from bottom to the top we also on the on the right hand side We offer a very comprehensive toolkit IDE Which can make the developments work much more natural intuitive and easier so all part for four parts I mean the higher foundation higher engine higher service in high AI IDE build the core and the soul of our own device intelligence Now In more detail about About high-air foundation in light of the benefit of our platform. I think our we offer So we offer three features Three features to our developed community the first one is a real time so our Chip our foundation is designed for providing acceleration a ps regardless of processor hardware so as to accelerate the models computation as well as operators Computation on the mobile devices the second aspect of the second feature Sorry the fact that the features efficiency. I think even on the on the small device we offer we offer a A very good a model management API a ranging from model Compilation model loading model running and model unloading and also the third features of our AI Foundation is a gel a gel is about providing basic operator computing API including interfaces such as such a convolution deconvolution pulling full-connection RNN LTM and We also a large variety of our of activation functions So just an example of our our Our use case in the layer of our foundation and with the help of our our own chip architecture MPU or camera becomes a much more intelligent It enable our mobile mobile phone able to sense the context I mean sense the environment and So as to adjust the parameters or the camera automatically and also in a professional way in so doing The normal users of Huawei mobile phone suddenly become a professional photographer so far. We support 500 plus scenarios in 19 different categories and Another example Also in the area of our high-air foundation just taking a Prisma scenario as an example with the help of our processor MPU we have achieved 50 times increase in performance effect ratio 20 times increase in Efficiency and on the left left hand side is an example of of the partner Prisma the chief of 2.5 second for a single frame rendering and the performance of a style suggestion enabled by our Huawei AI engines API called Syn detection has been improved by 300 percent. It's a really amazing Now further move on Now moving on to the middle layer talking about high AI engine and Just taking an example of it's easy to use capability the case show here is Image aesthetic scoring an app developer just need to insert two lines of code To utilize this model so you can see on the right-hand side only very simple two lines of code and on average on where it is developing any app based on our our by the way AI engine all the models are already been pre-trained so so it takes 10 to 10 10 to 110 minutes and to end of course depending on the complexity of the use cases Furthermore so here's a nutshell of our engine offering Clustered so far Sorry Okay Okay, okay, let's move on to the To this one is a natural of our AI engine clustered in six different categories such as translation by taking photo and voice controlled photo taking just Just a few to be mentioned and of course this offering is Expanding in both with and depth dramatically and we are working on that at full speed and mainly focus again as I said many focus on in a computer vision asr for speech recognition NLP for test recognition and also for semantic understanding of the text so supporting both online mode online mode such as an API and also offline mode our own offline mode and and and offline mode is designed for for Situation without a telecommunication without any Wi-Fi So I think we're ship both online meaning Proactivity collaboration with the intelligence of the cloud and offline meaning solely relied on the intelligence of the device So Here's another excellent example of our partner kinsoft is about integrating the office product WPS capabilities with our AI platform It took only half day only half day to complete this task more information will be delivered later So here's a web page of our app platform any user can download SDK and other kind of tools from From this webpage. So we are not just just talking we work to talk Here's an overview about the size and scale of our community so far. We have a 350,000 registered users registered developers worldwide and users so we have 340 million users So this is a very large amount very large community and We can benefit on that and Huawei's phone achievement so far in 2017 was 100 153 million and The revenue sharing I mean we share as a venue Collected with our developer was 45 million US dollar. So you can see is a is a It's a very large Community in multiple multiple angle and the offering to our community is Providing one step services for most apps in so doing the handling of the apps Become much more faster easier intuitive and intelligent due to The Using more prediction capability of our high-air engine. So you can see we have very good coverage cover 50 plus categories of services and also cover 80 percent most commonly used scenarios and We can save on every three steps right three steps on average and Translating the app We can save on every three steps right three steps on average and We can save five to ten seconds Which is very significant for each individual mobile users talking about IDE as This is a perfect integration of a Huawei higher IDE and the Android store studio so it's Comprehending each other and comprising develop the typical life cycle needed by developer develop debug test help and Identification and authorization management functionality and Also covering end-to-end the entire software stack. I mean the three layers I mentioned above why we have foundation Huawei higher engine and Huawei high AI services So this four part built the soul and the core of our high AI capability on the device So looking Looking to more details integration Efforts for Huawei higher engine has been reduced to our level and of course our developer can also directly use functionality of a foundation and the Integration effort with foundation can be reduced to day level. So so In the middle little our level in the bottom layer to the day level So on the left hand side is our idea IDE for so you can see our idea it designed for two types of developer on the left hand side is the IDE process for developer without self-owned models just using our AI API as the apps layer based on our services requirement as I said all the models have already been pre-trained and also ready to use simply use our API and There's no effort required for model development training Testing and the deployment. So this is for one type of user Of course our idea is also designed for another type of user on the on the right hand side It's about a developer with their self-owned models. So a comprehensive idea process covering the whole depth of cycle and to end so There's so many so many so many items In the middle, I think you can see eight items. I don't need to go through every item is This process covers a typical life cycle of depth ops In summary For real and tangible products I have offered to our developed community foundation engine service and IDE they are we're they are we're designed in coherence and also supporting each other and One more thing and we have a model offer to our developer in this community and We have around all four parts I mentioned before We also offer apps gallery with a homepage recommendation in app gallery and AI category and the second offering additional offering is recommendations through Huawei official channels Such as a special column recommendation through various Huawei official social networks accounts and sticky on Huawei fan club and the third offering additional offering is Is a Huawei store recommendation It's about promotion in Huawei's physical store. We have so far. We are 10,000 physical store last button list join marketing our partner can join PR planning and promotion So next I'd like to welcome ball to the stage presenting Prisma Hello, oh It works Okay, so hello, my name is Paul and nice to see you all here Thank you, Mr. Drew to present in our company and we are very happy to be here at droid con in Berlin and in Prisma labs we working hard to create AI powered effects for photo and video and Enable new opportunities to users to create very amazing pictures with their smartphones So let me start with a question. How many of you use your smartphone for takes pictures? Raise your hand, please. Yeah, almost all of you good. So people takes more and more pictures with their smartphone and of course, I think and I guess Everyone wants to their pictures looks great, but Our goal is to Improve user experience with a smartphone camera using our AI capabilities and our experience on running neural networks on the device on smartphone without any cloud-based solution to allow people to avoid spending time choosing good filters or appropriate settings to their pictures to look great and but just Take pictures and it's automatically looks great. So this is our goal and as a Our partnership project with the Huawei we increase speed of our flagship technology style transfer that use in our application called Prisma Because speed of processing is extremely important because people don't want to wait a lot of time while picture is processing and In Prisma we use different approaches to make our neural networks fast and accurate at the same time But if hardware is also optimized for such computations, it could give you really really good results and We are very happy that we can increase our AI models with using NPU acceleration from Huawei and we accelerate our style transfer technology using this NPU and we improve speed and achieve high speed on NPU compared to usual CPU on Android and also we decreased the model size by up to 25 times so we really value our partnership with the Huawei and We are sure that with mutual efforts we can achieve very big results in a smartphone camera user experience and enable to people to just shoot and To be a professional photographer Yeah, thank you and back to Mr. Drew Thank you Paul next let's welcome Lena to the stage Hi everyone, I'm Lena from Kingsoft in Beijing It's great pleasure to meet you here first Please allow me to introduce our company and our product. Is there anyone who uses WPS office? Okay, thank you. Let me introduce it for you Kingsoft was founded in 1988 and Listed in Hong Kong in 2007. It has four subsidiary companies Kingsoft office, Chetan mobile, Kingsoft cloud and C-Song games Our offices are located in China and the United States WPS office is one of the most popular all-in-one office suite with WPS you can Create, rate, edit all kinds of files include Word, Excel, PowerPoint and PDF You can share and access them anywhere and anytime. You can use WPS free on all your devices Your Android phone, your iPhone, your tablet and your computer All your documents could be saved and synchronized Across all your devices with our cloud service There are over 1.25 billion installs and more than 250 million monthly active users WPS is a multi-use device WPS dominates China market and we are expanding our global footprint and increasing international brand awareness As what we are talking about here today is that how AI is used in our WPS office and how AI is redefining mobile applications Just like today You come here during the keynote and you want to share the presentation with your team. What will do? Now you can finish it easily with help of high AI and WPS office High AI and WPS office can help you take notes such as meeting minutes, lecture notes, without handwriting and keyboarding What you need to do is To take out your mobile, take photos, choose photos which you want to add in your presentation High AI and WPS Will recognize the main content in each of your photos Capture and clean the images and transform them into a Poor point presentation. Then you can send it to anyone you want. Yes AI makes it easy You couldn't imagine that how fast the integration progress is It took us only half a day to deal with the high AI APIs to make the main procedural work and we spent several days and took a lot of photos to test and optimize the working flow to improve the user experience After we created this feature, users open more files and spend more time in WPS We think that AI and machine learning will explore and unlock many interesting areas We must keep learning and get ready for the upcoming challenges. That's why we cooperate with high AI During our cooperation, high AI help us a lot with its professional AI skills It builds a favorable ecological environment and provides all-round technical support Now we keep working on creating more intelligent features with high AI We hope that you could join us Let us work together to get AI to help everyone Here is my email for any questions and cooperation. Please feel free to contact me Thanks for your time Thank you, Lena So Let me do the Let me do the closing In summary, we offer four aspects of high AI foundation, high AI engine, high AI service and high AI IDE in a full scale of both width and depth as well as a total openness to our developer community Our ultimate goal is fast, simple and all-win So we have more session to offer Today, from 14.05 to 15.30, we have our colleagues Yang Jin and Ying Wen Shuai talking about high AI foundation, open platform as well as high AI engine, open platform in more technical detail and the venue will be Jelly Bean And next, also tomorrow from 14.05 to 15.30, we have another colleague Dong Xin talking about how to transplant AI algorithm model to Huawei high AI platform as well as Huawei high AI platform IDE itself So also in the venue of Jelly Bean Well, that is pretty much I'd like to share with you today. Thank you
 Yeah, I can't really show how to mind for truck of those market. I will have a good mark  That's a filigree stay from awesome. Uh, don't come this again. I'm a share my for truck in English  Okay, uh, my name my name is a  Shandree  Works no, no, no  I'm not a high chief scientist of Huawei  Huawei's I think one of the biggest telecommunication company in the world with around  180,000 employers and  In my team  They are around I can disclose a number about it's the hundreds  hundreds of best talents many of them up HD working on  On  On designing implementing and realizing  cutting-edge  AI models for different purpose mainly focusing on  computer vision and  Net natural language processing, but also for to some extent of the decision engine  So recommendation engine and the search engine as well  It works now  Uh, okay great. Well, so  As oh as known known to all of us  with minute  AI technology is processing very fast. We can observe a gap  However, we can observe a gap on the one hand on the one hand  there are  there are a few a few smart mobile providers such as  Huawei keep developing more and more  capabilities onto the device  however  We although we are a big company  We are still not able to cover all the needs of hundreds of millions users and  But on the other hand, there are many  developers of the communities and they have a very great idea about  Limited skills to leverage all the AI capabilities of the mobile phone. So we should make our  ecosystem partners focus focusing on their own  Specific AI applications  Fitting their targeted market and the wire  Where we the platform or provider provides  we develop platform and  and  with excellent AI models in the heart but  Making it easy to use hiding all the technical complexity in particular in particularly related to the designing of algorithms  Well, so summarizing all the purpose  So summarizing all the problems we have been faced with related to AI in recent years and  and  It's a common problem  talents are scarce resources and  As I said as a beginning Huawei has a thousand  hundreds in my department and thousands overall based talents AI talents in the world, but still  We also believe we belong to the first league  of the company but  We are we are facing a very  Very particular domain  It's about bringing all the entire intelligence onto the device. So as to the constraints  on the device, they are still very few research work  Done in this area. So this is exactly our focus of research and also strengths and  Advancement the first the constraints that we have been faced with is this  In if it's insufficient resources  As you know a device has a very limited resources  in  in computational power energy consumption and  Data modeling data management, etc. We don't have the luxury  of the resources on the cloud and the second constraint is low efficiencies in development and  Developing any AI capability or mobile devices. I think as a whole life cycle is not as smooth as on the cloud  so  they are making a comprehensive effective and efficient IDE and  So the development cycle of any AI models for devices is until today still very painstaking. So  Yes, starting from  collecting the training data and the training  and the first designing and training the model on the cloud and  We then because normally the model after being trained is has a hundreds of megabytes  If not over gigabyte. So we need to minimize minimize the model size without  Great loss of the accuracy then we download the model to the device and testing and of course  in the first rounds of iterations the performance and accuracies are not normally  sufficient so we have to  loopy to do  To do several rounds of it. Normally it will take  Take much effort. So the process as of today is broken and still very time-consuming and  efficient and the third  constraint we have been faced with in terms of  AI intelligence on the device is a fragmented capability in the area of  Mobile intelligence. There are still many tiny and siloed models and fragmented also in the user experience  Many models are similar mostly redundant, but they lack a structured and systematic  approach in terms of a unified and coherent hardware and Sophia steak  architecture and also a well organized training and testing data and  management and also standard tasting method and criteria and  all that has been  More or less matured on the cloud, but not not in the world of mobile intelligence to that end  the  Red collaboration of a model development life cycle  Among the devices among the telecommunication channel  and also between between cloud and  And devices need to be addressed. So so the last constraints we have has been faced with is  Is  Is a difficult  Difficult improvement and upgrade problem. So so far as mentioned before the AI model is improving very fast  It's a no model needs  hundreds of iterations to become mature. So  So  So ideally it should be decoupled from the normal upgrade cycle such as for the operation system and  the upgrade cycle for operating systems  in Android world  Normally taking not much longer time than then the upgrade cycle needed to require by AI model  So we need to decouple  Both cycles so the solution of Huawei to the challenge mentioned above is a is first we  Design and develop our own AI chip. We I think that we belong to the first one  Coming out with a I in my belief the base AI chips  Optimized for for the intelligence  computation on the device and  so  So apart from now our own device our AI AI chip we  Based on this chip we also develop our AI engine and as well as AI a service layer and  And the opening up to the ecosystem  You're not sure  our architecture of  Of high air can be divided into four parts. So  So they are they are from bottom up Huawei high air foundation  Then up to the mid layer Huawei high-air engine Huawei higher services and  And we have also developed an end-to-end IDE integrated development environment environment  so talking about a  High-air foundation is a corresponding to the chipset  On the bottom to the chipset  Converting and migrating existing models to obtain an optimal performance using and using heterogeneous  scheduling and ampere select ampere is our  Jagan ampere is is a specific  processor architecture  specially designed for the process of a tensor and  In the mid layer we have a hallway high-high engine and  corresponding to the mid to the device level with emphasis on  simplicity  So it's about opening up our AI AI our AIF capability  able to  integrate and compose different types of a component into more  comprehensive  Intelligent apps so the the upper layer Huawei high AI service is about  Putting emphasis on achieving a win situation together with our partner  So it's about to practically pushing pushing the service onto our users based on our users needs  So preparing and enabling services beforehand and based on our prediction model on the device  So looking more detail of our high AI architecture  So again staff on the bottom  Huawei high AI foundation  compressor of a CPU  GPU DSP and the NPU and Pugh is as I said is this our prop a product is also the core of our processor is  which can create special designs for the processing of  of a tensor computation and  The normally with 50 times  5th time speed and also from N to N scenario normally 25 times and moving upwards  So we have DDK is our  environment is our library and also run runtime environment for offline mode and also we of course we support  Android and N for online mode and also for its runtime engine and  With this setup we are able to support a large variety of our frameworks is a is a is a  color in red such as a most common one a  Tender floor tensor for light cafe, etc. We also actively participating in  in different open source communities such as  On X and TVM  So we are not only serving and supporting the most common commonly used  framework be also actually  actively involved and also influence in the open source community so  In so doing to make sure that our high-air platform will be  sustainable and also open have a more  more  Basis for openness and the generalization so moving up to higher engine  engine is just  Any physical engine of the car the design of the engine per se is normally very technology  Intensive right we need a thousands of base engineers for the design of an engine  But the operation and all the handling of the engine should be very simple right  And also highly automated so so as a driver you don't need to know how the engine  was built so  So as I said, we have a hundred thousands of SN AI experts developing the core capability of cutting-edge  Agresence and the bus on the other hand we ex in calculate and hide all the complexity  Into our AI engine and making it easy to consume and also being robust  so it present our engine  focused on on  CV computer computer vision focused on a SAR which is  which is for the process of speech and the NLP is for the process of attacks and  So far we already have a release 20 plus  20 plus different types of AI API and  19 plus operators and think our author said  support is  Support most commonly use operate such as convolution deconvolution LCM RNN will be covered  so  Along the whole stack from bottom to the top we also on the on the right hand side  We offer a very comprehensive toolkit IDE  Which can make the developments work much more natural  intuitive and easier so all part for four parts I  mean the  higher foundation higher  engine higher service in high AI  IDE build the core and the soul of our own device intelligence  Now  In more detail about  About high-air foundation in light of the benefit of our platform. I think our we offer  So we offer three features  Three features to our developed community the first one is a real time so  our  Chip our foundation is designed for providing acceleration a ps regardless of processor hardware so as to accelerate the models  computation as well as operators  Computation on the mobile devices the second aspect of the second feature  Sorry the fact that the features efficiency. I think even on the on the small device we offer  we offer a  A very good a model management API a ranging from model  Compilation model loading model running and model unloading and also the third features of our AI  Foundation is a gel a gel is about providing basic operator computing API including interfaces such as  such a convolution  deconvolution pulling full-connection RNN LTM and  We also a large variety of our of activation functions  So just an example of our our  Our use case in the layer of our foundation and with the help of our our own chip architecture  MPU or camera becomes a much more intelligent  It enable our mobile  mobile phone able to sense the context I mean sense the environment and  So as to adjust the parameters or the camera automatically and also in a professional way in so doing  The normal users of Huawei mobile phone suddenly become a professional photographer so far. We support 500 plus  scenarios in 19 different categories and  Another example  Also in the area of our high-air foundation just taking a Prisma scenario as an example with the help of our processor  MPU we have achieved 50 times increase in performance  effect ratio 20 times increase in  Efficiency and on the left left hand side is an example of of the partner Prisma  the chief of 2.5 second for a single frame rendering and the performance of a style suggestion  enabled by our Huawei AI engines API called  Syn detection has been improved by 300 percent. It's a really amazing  Now further move on  Now moving on to the middle layer talking about high AI engine  and  Just taking an example of it's easy to use capability  the case show here is  Image aesthetic scoring an app developer just need to insert two lines of code  To utilize this model so you can see on the right-hand side only very simple two lines of code and on average  on where it is developing any app based on our  our  by the way AI engine all the models are already been pre-trained so  so it takes  10 to  10 10 to 110 minutes and to end of course depending on the complexity of the use cases  Furthermore so here's a nutshell of our engine offering  Clustered so far  Sorry  Okay  Okay, okay, let's move on to the  To this one is a natural of our AI engine clustered in six different categories such as translation by taking photo and  voice controlled photo taking just  Just a few to be mentioned and of course this offering is  Expanding in both with and depth  dramatically and we are working on that at full speed and  mainly focus again as I said many focus on in a computer vision asr  for speech recognition NLP for test recognition and also for semantic  understanding of the text so supporting both online mode  online mode such as an API and also offline mode our own offline mode and  and and  offline mode is designed for  for  Situation without a telecommunication without any Wi-Fi  So I think we're ship both online  meaning  Proactivity collaboration with the intelligence of the cloud and offline meaning solely relied on  the intelligence of the device  So  Here's another excellent example of our partner kinsoft is about integrating the office product  WPS capabilities with our AI platform  It took only half day only half day to complete this task more information will be delivered later  So here's a web page of our app platform any user can download SDK and other kind of tools from  From this webpage. So we are not just just talking we work to talk  Here's an overview about the size and scale of our community so far. We have a  350,000 registered users registered developers worldwide and  users so we have  340 million users  So this is a very large amount very large  community and  We can benefit on that and  Huawei's phone  achievement so far in 2017 was 100 153 million and  The revenue sharing I mean we share as a venue  Collected with our developer was 45 million US dollar. So you can see is a is a  It's a very large  Community in multiple multiple angle and the offering to our community is  Providing one step services for most apps in so doing the handling of the apps  Become much more faster easier  intuitive and intelligent due to  The  Using more prediction capability of our high-air engine. So you can see we have very good coverage cover  50 plus categories of services and also cover 80 percent most commonly used scenarios and  We can save on every three steps right three steps on average and  Translating the app  We can save on every three steps right three steps on average and  We can save five to ten seconds  Which is very significant for each individual mobile users talking about  IDE as  This is a perfect integration of a Huawei higher IDE and the Android store studio  so it's  Comprehending each other and comprising develop the typical life cycle needed by developer develop  debug test  help and  Identification and authorization management  functionality and  Also covering end-to-end the entire software stack. I mean the three layers  I mentioned above why we have foundation Huawei higher engine and Huawei high AI services  So this four part built the soul and the core of our  high AI capability on the device  So  looking  Looking to more details integration  Efforts for Huawei higher engine has been reduced to our level and of course our developer can also directly use  functionality of a foundation and the  Integration effort with foundation can be reduced to day level. So so  In the middle little our level in the bottom layer to the day level  So on the left hand side is our idea IDE for  so you can see our idea it designed for two types of  developer on the left hand side is  the IDE process for developer without self-owned models just using our  AI API as the apps layer based on our services requirement as I said all the models have already been  pre-trained and also ready to use simply use our API and  There's no effort required for model development training  Testing and the deployment. So this is for one type of user  Of course our idea is also designed for another type of user on the on the right hand side  It's about a developer with their self-owned models. So a comprehensive idea process covering the whole depth of cycle  and to end so  There's so many so many so many items  In the middle, I think you can see eight items. I don't need to go through every item is  This process covers a typical life cycle of depth ops  In summary  For real and tangible products  I have offered to our developed community foundation engine service and  IDE they are we're  they are we're  designed in coherence and also supporting each other and  One more thing and we have a model offer to our developer in this community and  We have  around all four parts I mentioned before  We also offer apps gallery with a homepage recommendation in app gallery and AI category and the second offering  additional offering is recommendations through Huawei official channels  Such as a special  column recommendation through various Huawei official social networks accounts and sticky on Huawei fan club and  the third offering additional offering is  Is a Huawei store recommendation  It's about promotion in Huawei's physical store. We have so far. We are 10,000 physical store last button list join marketing  our partner can join PR planning and promotion  So next I'd like to welcome ball to the stage  presenting Prisma  Hello, oh  It works  Okay, so hello, my name is Paul and nice to see you all here  Thank you, Mr. Drew to present in our company and we are very happy to be here at droid con in Berlin  and in Prisma labs  we working hard to  create AI powered effects for photo and video and  Enable new opportunities to users to create very amazing pictures with their smartphones  So let me start with a question. How many of you use your smartphone for takes pictures?  Raise your hand, please. Yeah, almost all of you good. So  people takes more and more pictures with their smartphone and  of course, I think  and I  guess  Everyone wants to their pictures looks great, but  Our goal is to  Improve user experience with a smartphone camera using our AI capabilities and our experience on  running neural networks on the device on smartphone without any cloud-based solution  to allow people to avoid  spending time  choosing good filters or  appropriate settings  to their pictures to look great and  but just  Take pictures and it's automatically looks great. So this is our goal  and as a  Our partnership project with the Huawei  we  increase speed of  our flagship technology style transfer that use in our application called Prisma  Because speed of processing is extremely important because people don't want to wait a lot of time  while picture is processing and  In Prisma we use different  approaches to make our neural networks fast and accurate at the same time  But if hardware is also optimized for such computations, it could give you really really good results and  We are very happy that we can increase our AI models with  using NPU acceleration from Huawei  and  we accelerate our  style transfer technology  using this NPU and  we  improve  speed and achieve high speed on NPU compared to usual CPU on  Android and also we decreased the model size  by up to 25 times  so we really value our partnership with the Huawei and  We are sure that with mutual efforts we can achieve  very big results in a smartphone camera user experience and  enable to people to  just  shoot and  To be a professional photographer  Yeah, thank you and back to Mr. Drew  Thank you Paul next let's welcome  Lena to the stage  Hi everyone, I'm Lena from Kingsoft in Beijing  It's great pleasure to meet you here first  Please allow me to introduce our company and our product. Is there anyone who uses WPS office?  Okay, thank you. Let me introduce it for you  Kingsoft was founded in 1988 and  Listed in Hong Kong in 2007. It has four subsidiary companies  Kingsoft office, Chetan mobile, Kingsoft cloud and C-Song games  Our offices are located in China and the United States  WPS office is one of the most popular all-in-one office suite with WPS  you can  Create, rate, edit all kinds of files  include Word, Excel, PowerPoint and PDF  You can share and access them anywhere and anytime. You can use WPS free on all your devices  Your Android phone, your iPhone, your tablet and your computer  All your documents could be saved and synchronized  Across all your devices with our cloud service  There are over 1.25 billion installs and more than 250 million monthly active users  WPS is a multi-use device  WPS dominates China market and we are expanding our global footprint and increasing  international brand awareness  As what we are talking about here today is that how AI is used in our WPS office and how AI is  redefining mobile applications  Just like today  You come here during the keynote and you want to share the presentation with your team. What will do?  Now you can finish it easily with help of high AI and WPS office  High AI and WPS office can help you take notes such as meeting minutes, lecture notes, without handwriting and keyboarding  What you need to do is  To take out your mobile, take photos, choose photos which you want to add in your presentation  High AI and WPS  Will recognize the main content in each of your photos  Capture and clean the images and transform them into a  Poor point presentation. Then you can send it to anyone you want. Yes AI makes it easy  You couldn't imagine that how fast the integration progress is  It took us only half a day to deal with the high AI APIs to make the main procedural work  and we spent several days  and took a lot of photos to test and optimize the working flow to improve the user experience  After we created this feature, users open more files and spend more time in WPS  We think that AI and machine learning will explore and unlock many interesting areas  We must keep learning and get ready for the upcoming challenges. That's why we cooperate with high AI  During our cooperation, high AI help us a lot with its professional AI skills  It builds a favorable ecological environment and provides all-round technical support  Now we keep working on creating more intelligent features with high AI  We hope that you could join us  Let us work together to get AI to help everyone  Here is my email for any questions and cooperation. Please feel free to contact me  Thanks for your time  Thank you, Lena  So  Let me do the  Let me do the closing  In summary, we offer four aspects of high AI foundation, high AI engine, high AI service and high AI IDE  in a full scale of both width and depth as well as a total openness to our developer community  Our ultimate goal is fast, simple and all-win  So we have more session to offer  Today, from 14.05 to 15.30, we have our colleagues Yang Jin and Ying Wen Shuai  talking about high AI foundation, open platform as well as high AI engine, open platform in more technical detail  and the venue will be Jelly Bean  And next, also tomorrow from 14.05 to 15.30, we have another colleague Dong Xin  talking about how to transplant AI algorithm model to Huawei high AI platform as well as Huawei high AI platform IDE itself  So also in the venue of Jelly Bean  Well, that is pretty much I'd like to share with you today. Thank you
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