This AI learns from past matches to predict tennis shot placement

You might have heard about AI that teaches four-legged robots to walk and autonomous systems that generate photorealistic images of butterflies, but what about models that forecast the shot location of tennis balls? In a newly published preprint paper on Arxiv.org "Inspired by recent neuroscience discoveries we incorporate neural memory modules to model the episodic and semantic memory components of a tennis player," the researchers wrote. Tracking a tennis ball is no easy feat at the professional level, given that they whiz by at speeds exceeding 130 miles per hour. Some studies suggest that expert players are more adept generally at detecting events in advance, in fact, and have better knowledge of situational probabilities.