Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Artificial intelligence is quietly rewriting the rules of space weather forecasting, turning what used to be a hazy two-day ...

Not only has Google's Gemini 3 model been trained on the company's own TPUs, but I've been using a MacBook Pro with Apple's ...

A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial ...

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across ...

Adaptive test is starting to gain traction for high-performance computing and AI chips as test programs that rely on static limits and fixed test sequences reach their practical limits.

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

As artificial intelligence (AI) continues to revolutionize the economy, courts are increasingly being asked to determine ...

SLMs are not replacements for large models, but they can be the foundation for a more intelligent architecture.

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...