I was recently in Kansas City. My Uber driver was Jesse — sharp, easy to talk to. He mentioned, almost offhandedly, that his ...

When checking that solutions to certain problems are correct, it turns out, you can’t get around the inherent complexity of ...

Overview: We built this list around a documented selection process, not personal taste, weighing factors such as authority, teaching quality, and how well each ...

SummaryRFIC design is a complex “dark art” that limits progress in wireless technologies like 5G, autonomous vehicles, and satellite communications. Princeton researchers use reinforcement learning ...

Every two decades or so, a new technology upends national security. In the 1940s and 1950s, the atomic and hydrogen bombs established nuclear deterrence. In the 1970s and 1980s, microelectronics led ...

In October 2024 I attended a workshop at Harvard University where mathematicians talked through the uses of artificial intelligence in their field. Most were less worried about the future of math than ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

When you swing a tennis racket or catch a set of keys, you aren’t thinking about wind resistance or gravity. Yet, to perform that motion, your brain is solving a massive physics problem in ...

Brain-inspired neuromorphic computers are beginning to show an unexpected talent for tackling the complex equations that govern physical systems. New research demonstrates that these systems can solve ...

Neuromorphic computers may look like regular computers from the outside but the circuitry is entirely different.Sandia National Laboratories The world’s first neuromorphic supercomputer is moving ...

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.