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AI-trained physics models slash engineering design time

AI models trained on physics simulations are accelerating engineering workflows by delivering near-instant predictions that once took weeks. Automakers like GM now use in-house models to estimate ...

American AI startup Poolside launches free, high-performing open model Laguna XS.2 for local agentic coding

By putting the weights of a highly capable, 33B-parameter agentic model in the hands of researchers and startups, Poolside is ...
Semiconductor Engineering

Microarchitecture Tailored to 3D-Stacked Near-Memory Processing LLM Decoding (U. of Edinburgh, Peking U., Cambridge et al.)

A new technical paper, “Rethinking Compute Substrates for 3D-Stacked Near-Memory LLM Decoding: Microarchitecture-Scheduling ...
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AI-trained physics models reshape engineering design process

AI models trained on physics simulations are beginning to replace or augment traditional simulation in industries like automotive, aerospace, and manufacturing, dramatically accelerating early-stage ...
Scientific Research Publishing

Efficiency Comparison of Reverse Circulation and Diamond Drilling for Phosphate Exploration in Nigeria’s Sokoto Basin ()

This study compares reverse circulation (RC) and diamond core (CD) drilling for exploring phosphate nodules in Nigeria’s ...