New algorithms can predict the in-game actions of volleyball players with more than 80% accuracy. Now the Cornell Laboratory for Intelligent Systems and Controls, which developed the algorithms, is collaborating with the Big Red hockey team to expand the research project’s applications. Represent
Artificial intelligence algorithms can predict the in-game actions of volleyball players with more than 80% accuracy.. Now the Cornell Laboratory for Intelligent Systems and Controls, which developed the algorithms, is collaborating with the Big Red hockey team to expand the research project’s applications.
“Computer vision can interpret visual information such as jersey color and a player’s position or body posture,” said Silvia Ferrari, who led the research. She is the John Brancaccio Professor of Mechanical and Aerospace Engineering. “We still use that real-time information, but integrate hidden variables such as team strategy and player roles, things we as humans are able to infer because we’re experts at that particular context.
Machine learning is a technique of using computers to detect patterns in massive datasets and then making predictions based on what the computer learns from those patterns. This makes machine learning a specific and narrow type of artificial intelligence. “Our program places a major emphasis on video analysis and data technology,” said Ben Russell, director of hockey operations for the Cornell men’s team. “We are constantly looking for ways to evolve as a coaching staff in order to better serve our players. I was very impressed with the research Professor Ferrari and her students have conducted thus far. I believe that this project has the potential to dramatically influence the way teams study and prepare for competition.
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