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.

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Researchers are applying artificial intelligence and other techniques in the quest to forecast quakes in time to help people find safety. In September 2017, about two minutes before a magnitude 8.2 ...

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

James Rhodes, Morningstar's chief technology officer, told Business Insider how the research firm is using AWS DeepRacer as a training tool.

MIT researchers have designed a printable aluminum alloy that’s five times stronger than cast aluminum and holds up at ...

By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce ...