Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the ...

ML teams can define, govern, and serve features across environments with stronger control over multi-tenancy, security, deployment, and change managementSAN FRANCISCO, April 20, 2026 (GLOBE NEWSWIRE) ...

Tech firms aim to trigger a robot revolution with video of humans doing housework. Gig workers are paid up to $25 an hour to ...

By Kenrick Cai LAS VEGAS, April 22 (Reuters) - Alphabet is deepening a push into enterprise software, signaling to investors ...

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.