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.

Software

Which pothole to fix? AI team helps company develop city system

Artificial intelligence (AI) experts from The University of Texas at Dallas have partnered with a Japanese company through its Irving, Texas-based subsidiary to help local governments prioritize road repairs. The system builds ...

Hi Tech & Innovation

AI on deck: Assessing impact of MLB's new ball-strike system

For 150 years, Major League Baseball (MLB) players and fans have accepted that an umpire missing a few balls and strikes is just part of the game. But this spring, MLB is rolling out an artificial intelligence-augmented camera ...

Consumer & Gadgets

VR game helps police officers manage stress better

Training police officers with a virtual-reality game can significantly improve their ability to regulate stress, even in realistic, high-pressure situations. The VR game, developed at the Donders Institute at Radboud University, ...

Hi Tech & Innovation

New tech and AI set to take athlete data business to next level

From tracking the trajectory and speed of a footballer's strike to monitoring a Tour de France rider's real-time power output, performance athlete data is deepening its reach in sports, with specialized firms eyeing to score ...

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