2025 marks a revolution in how data science and AI interface with physics. Powerful machine learning tools have combed through petabytes of experimental particle collisions, identifying patterns missed by human analysis. Some correlations hint at the presence of as-yet-undetected particles and even possible extra spatial dimensions. This has led physicists to propose new theories that could expand—or even replace—the Standard Model. As these algorithms sift through real-time accelerator data, their findings are set to fuel the next generation of experiments, reshaping our grasp of matter, energy, and the underlying structure of reality.
Source: Quanta Magazine
Link: https://www.quantamagazine.org/ai-reveals-hidden-patterns-in-particle-physics-20251030/
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