Talking to oneself is a trait which feels inherently human - but it’s not just humans who can reap the benefits of such ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

A big part of his work is figuring out when a statistical method is truly the best choice. Some problems have straightforward ...

Adding one irrelevant sentence to math problems causes AI systems to make confident mistakes over 300 percent more.

Free Photo Think back to ancient leaders who looked to the stars or the flight patterns of birds just to predict the future.

Gladys Mae West, the quiet mathematician behind the Global Positioning System that now guides everything from ride-hailing ...

People told me I should delete everything,” Consani tells VF of her early modeling days. Instead, her personality made her a ...

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

NYC Solves has faced criticism from educators for assuming kids have mastered skills, leaving some lost and frustrated.

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...

Candidates participating in the debate include Steve Hilton, Tom Steyer, Eric Swalwell, Tony Thurmond, Antonio Villaraigosa, ...