It’s not science fiction: scientists are using machine learning algorithms to decipher how animals communicate and what ...

First author Canyu Chen led a multi-institution research team in developing a scalable approach to training AI agents without sacrificing users’ data privacy.

Mainstream chatbots presented varying levels of resistance to deliberate requests for fabrication, study finds.

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or ...

Veatch’s investigative Sundance documentary illustrates the histories, ideologies and invisible labor shaping artificial intelligence from its origins to today.

The desert doesn’t look like it has anything to give. Then night falls, the air cools, and a quiet trickle of water begins to gather.

More than half of transplant recipients in a large analysis developed chronic graft-versus-host disease, and 15% died from causes other than cancer relapse. Those numbers capture the uneasy truth of ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

Abstract: A revolutionary age in telecommunications is being ushered in by the confluence of machine learning (ML) with fifth-generation (5G) wireless communication technologies and beyond. This ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

This illustration features three of the paper airplanes based on planes in the Smithsonian’s National Air and Space Museum's collections. Smithsonian Books Looking for ways to keep the family ...