Page 5: 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

Microsoft AI weather forecast faster, cheaper, truer: Study

Microsoft has developed an artificial intelligence (AI) model that beats current forecasting methods in tracking air quality, weather patterns, and climate-addled tropical storms, according to findings published Wednesday.

Machine learning & AI

Researchers pioneer use of AI to reduce bias in sports scouting

In a first-of-its-kind study in Canada, researchers from Toronto Metropolitan University (TMU) have demonstrated how artificial intelligence (AI) can be used to reduce bias in professional sports scouting while preserving ...

Software

AI-powered 'ulrb' uncovers Earth's hidden microbial gems

A team of researchers has created a novel machine learning tool that's cracking open one of biology's trickiest puzzles: finding the rarest microbes on Earth. Think of it like finding a needle in a haystack, except the needle ...

Machine learning & AI

Danish brewer adds AI 'colleagues' to human team

They have names, faces, and email addresses, but the five new colleagues at Denmark's Royal Unibrew only exist in the virtual realm, which the brewer hails as a milestone to unleash the full potential of its staff.

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