A machine-learning based artificial intelligence device for finding an estimate of patent quality, such as patent lifetime or term is disclosed. Such a device may receive a first set of patent data and generate a list of binary classifiers. A candidate set of binary classifiers may be selected and using a heuristic search, for example an artificial neural network (ANN), a genetic algorithm, a final set of binary classifiers is found by maximizing iteratively a yield according to a cost function, such an area under a curve (AUC) of a receiver operating characteristic (ROC). The device may then receive patent information for a target patent and report an estimate of patent quality according to the final set of binary classifiers.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A machine-learning based artificial intelligence device for finding an estimate of patent quality, the device comprising: a patent data retriever configured to receive a first set of patent data comprising at least one of patent application data and patent data for a plurality of patents, and to generate a list of binary classifiers based on the first set of patent data; a quantitative data scalar configured to assign a standardized scaled score to each binary classifier of the list of binary classifiers; and a binary classifier optimizer configured to generate, using an automated processor, a candidate set of binary classifiers from the list of binary classifiers using a heuristic search and to generate, using the automated processor, a final set of binary classifiers by maximizing iteratively a yield according to a cost function, wherein the device is configured to provide a signal representing the final set of binary classifiers. 2. The device of claim 1, wherein the heuristic search comprises an artificial neural network model. 3. The device of claim 2, wherein the maximizing iteratively comprises changing a number of hidden layers of the artificial neural network. 4. The device of claim 1, wherein the maximizing iteratively comprises using a genetic algorithm. 5. The device of claim 1, wherein the maximizing iteratively comprises using an artificial neural network model and a genetic algorithm. 6. The device of claim 1, wherein the cost function is a receiver operating characteristic and the yield is calculated according an area under a curve. 7. The device of claim 1, wherein the estimate of patent quality represents an estimate of a lifetime of the patent. 8. The device of claim 1, wherein the patent data retriever is configured to receive a second set of patent data comprising at least one of patent application data and patent data for a plurality of patents, and wherein the device is configured to test a validity of the final set of binary classifiers using the second set of patent data. 9. The device of claim 1, further comprising a user information manager configured to receive patent information for a target patent and to report the estimate of patent quality according to the final set of binary classifiers. 10. A system comprising the device of claim 1 and a second device communicatively connected to the device over a network, the second device comprising: a second automated processor: a user interface receiving the patent information for the target patent; an estimate requester requesting from the device the estimate of patent quality for the target patent; and the user interface providing to a user a signal representing the estimate of patent quality.