A team of Georgia Tech researchers has developed a new machine-learning framework that enables ...

Previous columns in this series introduced the problem of data protection in machine learning (ML), emphasizing the real challenge that operational query data pose. That is, when you use an ML system, ...

Implantable devices in the brain have been used for about 30 years to assist people with disabilities in completing motor ...

Machine learning is powering most of the recent advancements in AI, including computer vision, natural language processing, predictive analytics, autonomous systems, and a wide range of applications.

Machine learning (ML)-based approaches to system development employ a fundamentally different style of programming than historically used in computer science. This approach uses example data to train ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. If you're looking for a job that pays six figures, is always ...

A new study reveals a noninvasive BCI framework that aligns human neuroplasticity with AI to match invasive accuracies.

AI-powered systems have swept through business, surfing a rising wave of occasionally justified hype. When they're good, they're really good—take, for example, a neural net designed to help Japanese ...

The U.S. Air Force needs to open up its high-end training ranges and exercises to artificial intelligence and machine learning as a way to both improve AI in combat and help the service refine its own ...