Tag: Machine Learning
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Thea Årrestad wins EPS Young Experimental Physicist Prize 2025
The 2025 Young Experimental Physicist Prize is awarded jointly to Thea Klæboe Årrestad (CMS) and Laura Zani for their remarkable and complementary contributions to experimental particle physics.
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Harnessing the power of AI to Monitor Data Quality in CMS
CMS develops and deploys a new machine-learning technique based on neural networks that is able to spot existing and developing anomalies in the functioning of the detector.
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Finding electrons and photons with the CMS detector
Fundamental particles are the most basic building blocks of the universe.
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Using artificial intelligence to search for new exotic particles
Nowadays, artificial neural networks have an impact on many areas of our day-to-day lives. They are used for a wide variety of complex tasks, such as driving cars, performing speech recognition (for example, Siri, Cortana, Alexa), suggesting shopping items and trends, or improving visual effects in movies (e.g., animated characters such as Thanos from the…
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Machining jets
New algorithms from the Compact Muon Solenoid experiment use the ideas used in mobile phone facial recognition to better understand the collisions at the Large Hadron Collider.




