Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...

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 ...

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 ...

Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...

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 ...

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 ...

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

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 ...