The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they ...

DeepMind’s AlphaEvolve helps solve a math puzzle with Terence Tao, showing how AI can now invent new ideas—and prove old ones ...

Machine learning algorithms find patterns in human movement data collected by continuous monitoring, yielding insights that ...

The threat landscape is being shaped by two seismic forces. To future-proof their organizations, security leaders must take a ...

The longevity of Jobs’ 10-minute design session suggests the approach worked. The calculator survived nearly two decades of ...

Researchers studying how large AI models such as ChatGPT learn and remember information have discovered that their memory and ...

Motion data is well known for improving athletic performance and rehab. Thanks to AI, it’s also turning motion into another ...

Operating massive reverse proxy fleets reveals hard lessons: optimizations that work on smaller systems fail at scale; mundane oversights like missing commas cause major outages; and abstractions ...

In Peru’s mysterious Pisco Valley, thousands of perfectly aligned holes known as Monte Sierpe have long puzzled scientists.

Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task.

Imagine you're watching a movie, in which a character puts a chocolate bar in a box, closes the box and leaves the room. Another person, also in the room, moves the bar from a box to a desk drawer.

Traditional chip materials like silicon can cause photonic signal losses. When light interacts with mobile charge carriers ...