Statistical physics and message passing inference represent two interwoven strands of modern quantitative research. While statistical physics examines how macroscopic phenomena emerge from the ...
Non-extensive statistical physics (NESP) provides a robust framework for characterising the complex, scale-invariant behaviour of seismic events. Extending beyond classical Boltzmann–Gibbs theory, ...
John Hopfield and Geoffrey Hinton were awarded the 2024 Nobel Prize in physics on Tuesday for their contributions to machine learning. Their research, which draws from statistical physics, helped ...
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AI tensor network-based computational framework cracks a 100-year-old physics challenge
Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics.
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