Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

A team of researchers led by Niccolò Maffezzoli, "Marie Curie" fellow at Ca' Foscari University of Venice and the University of California, Irvine, and an associate member of the Institute of Polar ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Models rewrite code to avoid being shut down. That’s why ‘alignment’ is a matter of such urgency.

In a recent analysis, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and collaborator William Gilpin reported that one ...

Does the Z13 justify the price tag? True, the Z13 might be an appealing option for, say, a niche subset of demanding gamers ...

Microsoft’s data lakes meet the industrial internet of things, helping you create complex models with data from multiple ...

Data scientist Tamanno Maripova uses machine learning to reduce no-show rates by 40%, earning her the Best Big Data Solution Award at the BrainTech Awards 2024 and streamlining operations at Dantist, ...

Quickly screen large amounts of possible materials for specific properties and select promising candidates for deeper ...