Approximate computing is an emerging area for trading off the accuracy of an application for improved performance, lower energy costs, and tolerance to unreliable hardware. However, care has to be ...

It’s the little button marked with an 'X' and an axle, usually positioned near the gear shifter that most suburban drivers will never use in the life of their car - still, we all love to know that we ...

To better understand which social media platforms Americans use, Pew Research Center surveyed 5,022 U.S. adults from Feb. 5 to June 18, 2025. SSRS conducted this National Public Opinion Reference ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...

Dr. Kasy is the author of the book “The Means of Prediction: How AI Really Works (and Who Benefits).” Imagine applying for a job. You know you’re a strong candidate with a standout résumé. But you don ...

Abstract: We consider the continuous-time temporal difference (TD) learning dynamics with nonlinear value function approximations, where there is a slim understanding of the convergence properties in ...

Though moviegoers certainly have an appetite for franchise slop these days, it’s a stretch to say that they’d be willing to bite down on wholly AI-generated movies just yet. Even more of a stretch: ...

A locking differential, often referred to as a "locker," is a type of differential that enhances traction by ensuring both wheels on the same axle turn at the same speed, even when one has little or ...

After two and a half years we have enough data to form a clearer picture about who is using AI, what they are using it for, what they think about it, and what it means for learning. What do students ...

Jan 23 (Reuters) - Uber (UBER.N), opens new tab said it does not set ride prices based on a user's phone model, shortly after an Indian government body alleged that the ride-hailing giant and its ...

Abstract: We consider the problem of finding an input signal which transfers a linear boundary controlled 1-D parabolic partial differential equation with spatially varying coefficients from a given ...