Overview: Online platforms make data science learning affordable and flexible worldwideReal-world projects and datasets help ...

KEV Collider combines data from multiple open source vulnerability frameworks to help cybersecurity teams assess which issues ...

Hacktivist group claims a 2.3-terabyte data breach exposes information of 36 million Mexicans, but no sensitive accounts are ...

It also signaled a bookend of sorts: a study of how atmospheric conditions affected pitch selection in baseball in the 2014 ...

For the last few years, the narrative around Generative AI in science has largely focused on administrative efficiency – writing grant proposals, summarizing dense papers, or debugging Python scripts.

As artificial intelligence continues to reshape industries at an unprecedented pace, venture capitalists face a critical ...

AI's coding capabilities prompt students to reevaluate the value of traditional computer science education and future career paths.

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...

GBH's Morning Edition host Mark Herz sits down with MIT Professor David Karger about the evolution of AI and how its complicating online trust.

Data doesn’t have to travel as far or waste as much energy when the memory and logic components are closer together. When you purchase through links on our site, we may earn an affiliate commission.

The good news? This isn’t an AI limitation – it’s a design feature. AI’s flexibility to work across domains only works because it doesn’t come preloaded with assumptions about your specific situation.