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 ...

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

Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping results, they need to ...

Target identification is the first and perhaps most critical step in drug discovery and development. Although the human genome contains roughly 20,000 protein-coding genes, only about 4,500 are ...

An exploration of how targeted nanoparticles and artificial intelligence algorithms combine to locate prostate cancer earlier ...

Researchers used the world's fastest supercomputer for open science to train an artificial intelligence model that captures ...

Information is where the opportunity lies, but it is also where many industrial digital transformation programs fail.

Public agency leaders want tangible results from AI and machine learning (ML). The trouble is figuring out how to get beyond ...

The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 earthquakes, according to a unique machine learning study that identified the ...

Depending on who you listen to, AI will cause widespread disruption and unemployment, especially at starting and lower middle ...

Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...