Page 4: Research news on Artificial intelligence officiating

Artificial intelligence officiating applies machine learning, computer vision, and sensor-based systems to support or automate decision-making in sports. Systems range from semi-automated offside and electronic line-calling to foul and whip-use detection, automated ball–strike calls, and AI-assisted judging in judged sports. Closely related tools provide real-time athlete performance tracking, injury prediction, and scouting support, as well as enhanced broadcast perspectives via drones, collectively transforming how events are adjudicated, analyzed, and presented while raising technical, institutional, and cultural questions.

Computer Sciences

How AI is opening the playbook on sports analytics

Professional sports teams pour millions of dollars into data analytics, using advanced tracking systems to study every sprint, pass, and decision on the field. The results of that analysis, however, are industry secrets, ...

Machine learning & AI

Researchers optimize AI systems for science

Using services like ChatGPT or Microsoft Copilot can sometimes seem like magic—to the point it can be easy to forget about the advanced science running behind the scenes of any artificial intelligence (AI) system. Like any ...

Machine learning & AI

Line judges missed at Wimbledon as AI takes their jobs

Line judges were as much a part of the Wimbledon tennis championships as strawberries and cream. But their demise in favor of technology is being felt by both players and fans alike.

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