Claude Code creator Boris Cherny reveals his viral workflow for running multiple AI agents simultaneously—transforming how ...

Ahead of HIMSS26, Sairohith Thummarakoti of Texas A&M University–Kingsville previews his talk on how agentic AI and low-code ...

Heritage consultants James Wenn and James Syrett have traced the use of the rhombic dodecahedron, a diamond-faceted, twelve-sided crystal form, to locations such as Oxford and Cambridge universities, ...

As early adopters have discovered, Copilot delivers real transformation only when it becomes an integral part of critical ...

Ralph Wigum keeps coding work moving by reading prior outputs, ideal for greenfield specs and batch cleanup, giving steady, ...

At CES 2026, BLUETTI unveiled Charger 2, the industry’s first unified car and solar smart energy hub, designed for modern ...

Uncover the intersection of architecture and health in 2025, showcasing projects that foster well-being and community ...

The AI chip giant has taken the wraps off its latest compute platform designed for test-time scaling and reasoning models, alongside a slew of open source models for robotics and autonomous driving.

A new technical paper titled “Making Strong Error-Correcting Codes Work Effectively for HBM in AI Inference” was published by researchers at Rensselaer Polytechnic Institute, ScaleFlux and IBM T.J.

Habits like testing code, reviewing each other’s work and checking changes before release can both save time and prevent ...

In a non-deterministic, AI-driven architecture, if your security strategy is trying to “catch up,” you’ve already lost.