A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system uses tensor network mathematics and machine-learning models to solve the problem directly. The approach can compute key thermodynamic properties hundreds of times faster while preserving accuracy. Researchers say this could accelerate discoveries in materials science, physics, and chemistry.
source https://www.sciencedaily.com/releases/2026/03/260315004344.htm
Sam Altman wants to turn AI into a utility — and meter “intelligence” like
electricity
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OpenAI CEO Sam Altman predicts AI will shift from subscriptions to utility
billing, charging by usage like power or water.
@Sys Admin https://ny57.blogspot...
12 hours ago
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