This is a Cern news story, published by Guardian, that relates primarily to Prof Mark Thomson news.
For more Cern news, you can click here:
more Cern newsFor more Prof Mark Thomson news, you can click here:
more Prof Mark Thomson newsFor more physics news, you can click here:
more physics newsFor more news from Guardian, you can click here:
more news from GuardianOtherweb, Inc is a public benefit corporation, dedicated to improving the quality of news people consume. We are non-partisan, junk-free, and ad-free. We use artificial intelligence (AI) to remove junk from your news feed, and allow you to select the best science news, business news, entertainment news, and much more. If you like physics news, you might also like this article about
Advanced artificial intelligence. We are dedicated to bringing you the highest-quality news, junk-free and ad-free, about your favorite topics. Please come every day to read the latest LHC news, advances news, physics news, and other high-quality news about any topic that interests you. We are working hard to create the best news aggregator on the web, and to put you in control of your news feed - whether you choose to read the latest news through our website, our news app, or our daily newsletter - all free!
massive discoveryGuardian
•81% Informative
Prof Mark Thomson , the British physicist who will assume leadership of Cern on 1 January 2026 , says machine learning is paving the way for advances in particle physics.
Similar strategies are being used to detect incredibly rare events that hold the key to how particles came to acquire mass in the first moments after the big bang and whether our universe could be teetering on the brink of a catastrophic collapse.
But given that the nature of dark matter is entirely unknown, searching for it is a challenging task. Generative AI could help prise this puzzle apart, according to Thomson . “You can start to ask more complex, open-ended questions,” he said. “Rather than searching for a particular signature, you ask the question: Is there something unexpected in this data?’”.
VR Score
83
Informative language
80
Neutral language
69
Article tone
informal
Language
English
Language complexity
50
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
4
Source diversity
3
Affiliate links
no affiliate links