Artificial intelligence has just helped push one of the world’s most familiar metals into unfamiliar territory. By teaming ...

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

Engineers are no longer asking if AM can deliver; instead, they’re asking how to make it work reliably, affordably, and at ...

This is the official repository for The Quest for Generalizable Motion Generation: Data, Model, and Evaluation. The repo provides a unified framework for generalizable motion generation, including ...

The innovations of this year spanned a range of fields, including biotechnology, medicine, energy, environment, and chemistry ...

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

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

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

Abstract: Application of machine learning (ML) approaches has recently expanded within a wide range of domains, including semiconductor devices. Their strong potential resulted in increasing number of ...

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

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on massive datasets, increased the number of parameters, and threw immense ...

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