Living human neurons were trained to play Doom, extending the long-running engineering benchmark into biological computing.

In 2025, something unexpected happened. The programming language most notorious for its difficulty became the go-to choice for the laziest form of programming imaginable.

Error logs and GitHub pull requests hint at GPT-5.4 quietly rolling out in Codex, signaling faster iteration cycles and continuous AI model deployment.

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How a discontinued legacy sparked a modern language built to last for decades — Ring emerged after Microsoft canceled ...

A biocomputer powered by lab-grown human brain cells has leveled up from Pong to Doom. While nowhere ready to handle the video game shooter’s most challenging levels, researchers at Cortical Labs in ...

Wai’anae features one of the nation’s most striking high school logos: a mysterious, muscular warrior wielding a spear while ...

While the Windows maker did not attribute the activity to a specific threat actor, the use of VS Code tasks and Vercel ...

Researchers at a Melbourne start-up have taught their “biological computer” made from living human brain cells to play Doom.

Morgan Stanley Technology, Media & Telecom Conference 2026 March 3, 2026 3:20 PM ESTCompany ParticipantsJohn Ederer - ...

“Testing and control sit at the center of how complex hardware is developed and deployed, but the tools supporting that work haven’t kept pace with system complexity,” said Revel founder and CEO Scott ...

AI is beginning to make inroads into designing and managing programmable logic, where it can be used to simplify and speed up portions of the design process. FPGAs and DSPs are st ...