The American Patent Office trained its own neural network on a large array of patent data on
She also studies the work of neural networks in a patent,which can be related to knowledge processing, speech, AI hardware, evolutionary computing, natural language processing, machine learning, and planning and control.
The results of the new neural network employeeschecked manually and found no errors. This approach, the department notes, seriously increases productivity compared to other alternative methods of information processing.
From 2002 to 2018, annual patent applications for neural networks in the United States increased by more than 100%, from 30,000 to over 60,000 per year.
Neural networks are becoming more populartechnology - if in 2002 they appeared in only 9% of patent applications, now their share is 16%. most of the applications come from IBM, Microsoft and Google.
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