To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.

A commonly cited yardstick is the price-to-earnings multiple, which compares the share quotation with underlying earnings.

An EV might get you to the end of the quarter mile slightly quicker, but it won’t deliver the same thrills as the Temerario’s 10,250-rpm V-8.

NVIDIA Corporation (NASDAQ:NVDA) remains a central technology provider within global computing discussions as nasdaq 100 index appears frequently in broader commentary involving companies that support ...

In 1999, the Indian computer scientist and educational theorist Sugata Mitra created a small, if audacious, learning ...

Learn how to analyze motion graphs in physics, including position-time and velocity-time graphs. This video explains slopes, areas, and motion behavior to help you clearly interpret real physics ...

Integration of Ceva's AI DSP in NXP's S32Z2 and S32E2 real-time processors enables predictive analytics, energy management and intelligent control for software-defined vehicles LAS VEGAS, Jan. 6, 2026 ...

AI safety expert David Dalrymple said rapid advances could outpace efforts to control powerful systems The world “may not have time” to prepare for the safety risks posed by cutting-edge AI systems, ...

Welcome to Car and Driver's Testing Hub, where we zoom in on the test numbers. We've been pushing vehicles to their limits since 1956 to provide objective data to bolster our subjective impressions ...

Automotive fans are united in their love for high-performance machines. Following a new sporty vehicle's debut, enthusiasts want to know engine output, top speed, and, of course, 0-to-60-mph times.

Electric vehicles are known for their fast acceleration that can put gas-powered supercars to shame. However, this quality is increasingly seen as a hazard these days. Chinese regulators are even ...

Abstract: Placement is a critical task with high computation complexity in VLSI physical design. Modern analytical placers formulate the placement objective as a nonlinear optimization task, which ...