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 ...

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

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 ...

Not all of the schemes were convincing, and the models sometimes got confused, started spouting gibberish that would give ...

Most of what AI chatbots know about the world comes from devouring massive amounts of text from the internet—with all its ...

New research has artificial intelligence to analyze "The Baptism of Christ" and determine who painted the late El Greco ...

Many market watchers are flagging AI vendor lock-in as a risk. When it comes to technology adoption, vendor lock-in is ...

The music industry is in the grip of an intensifying debate over how AI-generated derivatives of existing music should be ...

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

Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...

The researchers argue that traditional centralized learning platforms are no longer equipped to handle the scale, speed, and ...