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 ...

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

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

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

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 ...

The following is a systematic analysis of the decoding of the Congzi theory encoding human DNA, revealing the paradigm shift in genomics research by comparing the technological gap between traditional ...

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 ...

Insiders reveal how OpenAI’s rapidly growing coding agent works, why developers are delegating tasks to it, and what it means ...