Page 2: 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.

Machine learning & AI

AI is coming to Olympic judging: What makes it a game changer?

As the International Olympic Committee (IOC) embraces AI-assisted judging, this technology promises greater consistency and improved transparency. Yet research suggests that trust, legitimacy, and cultural values may matter ...

Engineering

How AI can track hockey action from faceoff to finish

Researchers at the University of Waterloo have developed two innovative artificial intelligence (AI) systems that significantly improve how hockey games can be analyzed using video footage without the need for expensive equipment.

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