Uber patent portfolio has a total of 190 patent documents on Artificial Intelligence. 129 of these patents are focused on Neural Networks. 52/129 patents are on training the neural network and 68/129 are on Architecture, 5/129 on neural network models, and 4/129 on artificial life.
The numbers in the exhibit are calculated based on CPC analysis. It represents the number of patent families classified in a CPC. A patent family is a group of patent documents – globally or in a jurisdiction – that covers the same (or similar) information. In the patent portfolio of Uber, there were 2496 patent documents that belong to 884 patent families. The 884 patent families were categorized into 1351 CPCs. More often, a single patent gets categorized into more than 10 CPCs.