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 ...

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

The study, titled “Teach AI What It Doesn’t Know,” published in AI Magazine, presents a detailed research agenda by Sean Du of Nanyang Technological University, focused on building reliable machine ...

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

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

A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...

Security professionals can recognize the presence of drift (or its potential) in several ways. Accuracy, precision, and ...