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 ...

Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...

Neuroscientist Vivienne Ming argues in her new book that the biggest risk of artificial intelligence is people using it too ...

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

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 ...

Engineers develop a system that captures all the elements of trial and error in material design, enabling reliable ...

Researchers from Google DeepMind in Berlin, BIFOLD, and the Technical University of Berlin have introduced a new machine ...

A quantum computer assists an AI model with calculations that would take weeks to figure out with a normal computer.

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

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

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