Modelers have demonstrated that artificial intelligence (AI) models can produce climate simulations with more efficiency than ...

Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...

The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement. Alexia ...

With the US falling behind on open source models, one startup has a bold idea for democratizing AI: let anyone run ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

A tree can sequester quite a bit of carbon, and forests can sequester and store quite a bit more, but knowing exactly how ...

Physics simulations have a problem—engineers who need those simulations’ results often don’t have time to wait. Add in ...

Abstract: Wireless channel responses contain rich multipath information, but accurately extracting this information remains challenging in complex indoor environments. In this letter, we propose a ...

DeepSeek updated an experimental AI model in what it called a step toward next-generation artificial intelligence.

A research team has developed a powerful unsupervised deep learning network that can accurately separate wood and leaf components in 3D point clouds of trees—without the need for labor-intensive data ...

UHPLC–QTOF-MS and machine learning were used to identify stable biomarkers for PMI estimation, achieving 3–6 hour accuracy. Identified metabolites include amino acids and nucleotides, with potential ...

This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...