The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...
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A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...
In an increasingly digital economy, many firms are turning to algorithms and machine learning to optimise pricing, improve ...
Advances in ultrasound—the same imaging technology that uses sound waves to allow doctors to monitor babies in utero—are ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...
To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
While artificial intelligence threatens many traditional careers, a new profession is emerging with six-figure salaries and ...