The company hopes to find new ways of making decisions with computers. :
Silicon Valley is glutted with everything that the most popular form of modern AI, called deep learning, needs to be successful: massive stockpiles of private user data and a battery of high-powered servers. The next wave of AI, however, may look quite different. A number of startups are now thinking about ways to minimize the amount of training—and thus, the amount of data and server power—needed for AI.