Meta’s former chief AI scientist has long argued that human-level AI will come from mastering the physical world, not language. His new startup, AMI, aims to prove it.

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...

By Hugo Francisco de Souza Trained on genomic data spanning the tree of life, Evo 2 reveals how artificial intelligence can ...

Yann LeCun, Meta’s former chief AI scientist and a Turing Award–winning pioneer of modern AI, has launched his first commercial ...

Evidence is provided suggesting that aggregate neural activity at an early stage of visual processing (V1) can directly contribute to perceptual decisions in humans.

Computer engineers and programmers have long relied on reverse engineering as a way to copy the functionality of a computer ...

Anthropic launches Code Review for Claude Code, a multi-agent AI system that audits pull requests for bugs at $15–$25 per review, as the company sues the Trump administration over a Pentagon “supply ...

With zero coding skills, and in a disturbingly short time, I was able to assemble camera feeds from around the world into a ...

A method for making quantum computers less error-prone could let them run complex programs such as simulations of materials more efficiently, thus making them more useful ...

AI is getting scary good at finding hidden software bugs - even in decades-old code ...

Some years ago, my linguistic research team and I started to develop a computational tool aimed at reconstructing the text of ...