+ HEALTH Aims Intramuscular fat (IMF) is increasingly recognized as a marker of ectopic adiposity and adverse cardiome…+ HEALTH Periapical lesions are challenging to detect on intraoral radiographs because of anatomical superimposition a…± HEALTH Ultrasound imaging is an indispensable diagnostic tool, yet its profound reliance on operator expertise inher…+ HEALTH Objectives We adapted the individualized polysocial risk score (iPsRS), a machine learning model originally d…± HEALTH Melioidosis is a life-threatening infectious disease caused by Burkholderia pseudomallei ( Bp ). Rapid diagno…+ HEALTH Classification is a core machine learning task, and ensemble voting methods are widely used to improve predic…+ CLIMATE Microplastic (MP) pollution poses escalating environmental risks, demanding efficient and reproducible tools…± HEALTH Medicinal chemistry sits at the center of modern drug discovery, yet translating molecular designs into appro…
TruaceTracing the truth around AIThursday, August 27, 2026
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TRV-2026-0083Version 1 · Certified

Written 2026-07-12 20:54:05 UTC · current record

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TRUVACE RECORD VERSION
record: TRV-2026-0083
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-07-12T20:54:05.290337Z
status: published
lens: trace
sector: sports
headline: Rage against the machines: ignore the fury at Wimbledon, AI in sport works | Sean Ingle
dek: We are all suckers for a good story. And there was certainly a cracking two‑parter at Wimbledon this year. First came the news that 300 line judges had been replaced by artificial intelligence robots. Then, a few days later, it turned out there were some embarrassing gremlins in the machine. Not since Roger Federer hung up his Wilson racket has there been a sweeter spot hit during the Wimbledon fortnight. First the new electronic line-judging system failed to spot that Sonay Kartal had whacked a ball long during he
gain_reading: Rage against the machines: ignore the fury at Wimbledon, AI in sport works | Sean Ingle: Another study in Norway found that successful teams were more likely to be given favourable penalty decisions.
problem_reading: Rage against the machines: ignore the fury at Wimbledon, AI in sport works | Sean Ingle: First the new electronic line-judging system failed to spot that Sonay Kartal had whacked a ball long during her match against Anastasia Pavlyuchenkova, which led to the Russian losing a game she otherwise would have won.
limitation: Machine-ingested summary: the claims above reflect a single primary source and have not been weighed against contradicting evidence by a Truvace editor yet.
tag: Automated dual reading
key_points: We are all suckers for a good story. | And there was certainly a cracking two‑parter at Wimbledon this year. | First came the news that 300 line judges had been replaced by artificial intelligence robots.
rundown: We are all suckers for a good story. And there was certainly a cracking two‑parter at Wimbledon this year.

First came the news that 300 line judges had been replaced by artificial intelligence robots. Then, a few days later, it turned out there were some embarrassing gremlins in the machine.
sources:
- journalism | The Guardian | https://www.theguardian.com/sport/2025/jul/15/rise-of-the-machines-ai-outrage-technology-tennis-sport | 2025-07-15
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