Explore how machine learning accelerates particle physics while preserving rare events, uncertainties and scientific accuracy ...
Researchers report that a feature-densities method delivers uncertainty scores comparable to Monte Carlo dropout for a Cramér ...
A physics-aware, uncertainty-guided deep learning surrogate has been shown to replace expensive circuit simulations when ...
Placing a wind turbine in rugged terrain sounds simple enough — until you need to know exactly how air accelerates over a ...
The mining industry is shifting toward battery-powered equipment to improve efficiency, but lithium-ion batteries pose risks due to their high energy density. They can fail, overheat and, in some ...
Bo Xiong uses engineered noise and AI tools to expand the multiplexing capabilities of ultrathin optical structures called ...
Siting a wind farm or estimating structural loads on a solar array means running detailed fluid simulations — sometimes ...
Cristóbal Valenzuela, co-founder and CEO of Runway, argued at the AI Engineer conference that scaled next-frame prediction has turned video ...
This article is based on information confirmed as of the morning of October 30, 2026 (Japan Standard Time). It mainly covers official announcements from October 26–29, and also references earlier ...
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