Nvidia introduces Diffusion Nemotron, a 60-billion parameter two-tower AI model that uses parallel block processing to speed up text generation.

New spintronic hardware harnesses tunable randomness to solve complex optimisation problems faster and with less energy than ...

An eight-month field study inside a 200-person U.S. tech company lands on three takeaways that the authors present as ...

Extensive practice can rewire the brain so a learned skill runs more automatically, making some forms of true multitasking ...

Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference.

A long time before Beowulf clusters wired up with commodity Ethernet hardware became a hobbyist thing and a running joke, the ...

Sudan's parallel currency market faces erratic trading after the central bank injects foreign exchange to stabilize the ...

OpenAI research on Codex usage finds that agentic AI adoption is growing quickly but unevenly, with the sharpest shift showing up inside OpenAI and broader growth among non-developer users.

What happens when you give AI coding agents a lab full of robotic arms, some compute resources, and a “generous token budget” for teaching the robots various tasks? The agents can apparently figure ...

Stanford's DeLM lets AI agents coordinate without a central controller, cutting multi-agent inference costs 50% and beating SWE-bench baselines by 10.5%.

Learn what Claude Code is, how Anthropic’s AI coding agent works, where it excels, its limits, pricing concerns, and who ...