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Study reveals that pretraining artificial intelligence on standard universe models speeds up analysis yet can cause misinterpretation when novel effects resemble familiar ones.

University of Michigan leads a $19.4 million project funded by the Department of Energy to create an AI that answers physics questions for faster progress in complex designs.

Researchers created AInstein, an artificial intelligence tool that helps understand complex solutions to Einstein's field equations of general relativity, potentially changing views on gravity and the universe.

MIT and Harvard researchers develop a new AI method to predict protein locations in cells, aiding disease diagnosis and research.

This new AI-driven encyclopedia, powered by Grok, aims to provide unbiased, accurate information by synthesizing diverse sources and minimizing biases, with free access and real-time updates.

ContractNerd uses artificial intelligence to help people understand and improve leases and employment agreements by identifying potential problems.

MIT scientists have released a new open source AI model to predict protein structure with a performance similar to AlphaFold3.

A new machine learning method uses equations from atmospheric physics to predict wind patterns inside hurricanes.

The DolphinGemma AI model, developed by Google with with Wild Dolphin Project and Georgia Tech, decodes dolphin vocalizations.