Page 6: 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

BAFT AI autosave system can cut training losses by 98%

A research collaboration between Shanghai Jiao Tong University, Shanghai Qi Zhi Institution, and Huawei Technologies has introduced BAFT, a cutting-edge autosave system for AI training that minimizes downtime and optimizes ...

Software

AI-driven software is 96% accurate at diagnosing Parkinson's

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five years of assessment. That's partly because Parkinson's sibling movement disorders share similarities, ...

Other

Making AI more accessible in soccer

Technology is improving soccer—from helping referees make more accurate decisions to developing better on-field tactics. ETH Zurich and FIFA are exploring how AI can make these advancements more accessible to competitions ...

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