For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Large language models are powering a new generation of AI agents that could transform computational chemistry from a ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

As we head into the New Year, experts across the tech landscape weigh in to share what they think will happen in 2026 ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

See how Langraph powers a multi-agent stock sim with configurable rounds and models, helping you compare trade plans without ...

Explore the strategic technology trends that will shape 2026, from AI supercomputing platforms to AI-native development, and ...

A new study published in Engineering by Xin Wang, Jian Yao, Jin Zhang and their colleagues proposes a machine-learning-guided strategy that combines ...

High-temperature proton exchange membrane fuel cells (HT-PEMFCs) are highly promising for next-generation aviation, as they can operate above 160 °C ...