Algorithms predict sports teams’ moves with 80% accuracy

ENG: Algorithms developed in Cornell’s Laboratory for Intelligent Systems and Controls can predict the in-game actions of volleyball players with more than 80% accuracy, and now the lab is collaborating with the Big Red hockey team to expand the research project’s applications. The algorithms are unique in that they take a holistic approach to action anticipation, combining visual data – for example, where an athlete is located on the court – with information that is more implicit, like an athlete’s specific role on the team.

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A sustainable battery with a biodegradable electrolyte made from crab shells

ENG: Accelerating demand for renewable energy and electric vehicles is sparking a high demand for the batteries that store generated energy and power engines. But the batteries behind these sustainability solutions aren’t always sustainable themselves. In a paper published 1 in the journal Matter, scientists create a zinc battery with a biodegradable electrolyte from an unexpected source – crab shells.

Credit: Cell Press
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