For decades, scientists have worked to understand how the brain turns thoughts into words and words into meaning. Language is ...

While the research involved models trained specifically to conceal motives from automated software evaluators called reward models (RMs), the broader purpose of studying hidden objectives is to ...

A glimpse at how DeepSeek achieved its V3 and R1 breakthroughs, and how organizations can take advantage of model innovations ...

When Gašper Beguš began studying linguistics, he spent his time deciphering ancient, largely dead languages. "Nobody cared about linguistics," he says in this episode of 101 in 101, a series from UC ...

Bioprocessors could give us the tools to achieve AGI far sooner than anyone expected, but this leap comes with risks that we ...

Guo-Xing Miao, Professor at the University of Waterloo, guides us through programmable iontronic neural networks ...

Scientists at the Okinawa Institute of Science and Technology (OIST), the National Institute of Information and ...

AI is consuming more energy than ever, with data centers struggling to keep up with demand. A breakthrough training method ...

Larger models can pull off a wider variety of feats, but the reduced footprint of smaller models makes them attractive tools.

The enormous computing resources needed to train neural networks for artificial intelligence (AI) result in massive power consumption. Researchers have developed a method that is 100 times faster and ...

Researchers have developed a computational framework that maps how the brain processes speech during real-world conversations ...