Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...

A research team from Skoltech, AIRI, Tomsk Polytechnic University, and Sber has proposed and tested an approach to predicting ...

Away from journals, peers credit Bairi with mentoring QA engineers transitioning to SDET roles, emphasizing object-oriented design and the discipline of treating tests as first-class code. That ...

Hallucination is one of the most researched topics in AI. Recent studies show we’ve got it all wrong, writes Satyen K.

MLCommons' AI training tests show that the more chips you have, the more critical the network that's between them.

F or those who enjoy rooting for the underdog, the latest MLPerf benchmark results will disappoint: Nvidia’s GPUs have ...

An AI from UC Irvine researchers doesn’t just chat. It remembers, it cares, and it might just help us save ourselves.

Before billionaires were using AI to justify not phasing out fossil fuel, governments and business were using economic modelling to do the same.

In sum, the data corroborate Snowflake’s assertion that its revamped go-to-market engine is landing meaningful net-new ...

For AI-driven fortune-telling to improve, models require training on high-quality, structured, real-world cases, and such ...

What if the Higgs boson did more than just give mass to the heaviest particles? A new CERN study explores its connection with ...

In February 2025, the Trump administration directed a significant shift in the US Department of Justice’s (DOJ) enforcement priorities by announcing ...