
New AI Model Discovers Physics Equations from Raw Data
A new AI framework named PhyE2E can automatically discover fundamental physics equations from raw data, successfully replicating and even improving upon known formulas.
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A new AI framework named PhyE2E can automatically discover fundamental physics equations from raw data, successfully replicating and even improving upon known formulas.

Google is developing Project Suncatcher, an ambitious initiative to deploy AI compute, powered by solar energy, into space using satellite constellations equipped with TPUs and optical links.

Researchers have developed a new AI framework called PhyE2E that can autonomously discover complex physics formulas from observational data, already yielding new insights in space physics.

AI researchers are revisiting older, sequential processing models to enhance the efficiency of modern systems like transformers, aiming for more powerful and accessible AI.

Researchers have developed ZeoBind, a machine learning tool that accelerates the discovery of new zeolite materials used in industry and environmental applications.