It turns out that firing the humans and letting robots run the show is a great way to ...

Meet Ewan Bradley, Stuart Bladon and Michael Bennett, the co-founders of Jeani — a movement intelligence technology that ...

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...

You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every ...

A machine learning algorithm is any algorithm that takes in data and forms a RULE or SET OF RULES that would have produced that data. Statistical methods are used to decide how close the rule or rules ...

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might encounter.

I used to laugh when people would say things like "gambling is becoming a real problem in this country." I mean, sure, it probably isn't the best thing to get addicted to, but back in my day you used ...

Quantum computers might eventually be able to handle some AI applications that currently require huge amounts of conventional computing power. Such a development would be a major boost to machine ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...

Abstract: In lifelong learning, data are used to improve performance not only on the present task, but also on past and future (unencountered) tasks. While typical transfer learning algorithms can ...