fresh bytes
Subscribe to EE Journal Daily Newsletter

AI predicts how athletes will react in certain situations


When you think of sports analysis, you probably think of raw stats like time in the opposing half or shots on goal. However, that doesn’t really tell teams how they should have played beyond vague suggestions. Researchers at Disney, Caltech and STATS believe they can do better: they’ve developed a system that uses deep learning to analyze athletes’ decision-making processes. After enough training based on players’ past actions, the system’s neural networks can predict future moves and create a “ghost” of a player’s typical performance. If a team flubbed a play, it could compare the real action against the predictive ghosts of more effective teams to see how players should have acted.
via Engadget

Continue reading 

Image: Stu Forster via Getty Images

Leave a Reply

featured blogs
Sep 18, 2017
A friend of mine was saying the other day, “I want to be able to go to my car, type something like New York City , take a nap, and have the car wake me when I get there.” My friend lives in California; barring supersonic auto 2 [*] transportation, it would be a long...
Sep 15, 2017
Glass Weave Skew. For most people it probably sounds like a progressive rock band. But we’re talking about Glass Weave Skew and differential signals. Brandon Gore, Senior Staff Signal Integrity Engineer, and the Manager of Samtec’s Signal Integrity Group, R&D...
Sep 01, 2017
Achronix was delighted to attend the Hot Chips event in Cupertino once again this August. This year saw a bumper turnout, with some very fascinating speakers providing some great insights into the industry. The Achronix team had a chance to meet with many talented people in t...