AI startup Anthropic's claim of automating COBOL modernization sent IBM's stock plummeting, wiping billions off its market value. The decades-old language, still powering critical systems, faces a ...
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7 Python mistakes that make your code slow (and the fixes that matter)
Python is a language that seems easy to do, especially for prototyping, but make sure not to make these common mistakes when ...
Living human neurons were trained to play Doom, extending the long-running engineering benchmark into biological computing.
Two days to a working application. Three minutes to a live hotfix. Fifty thousand lines of code with comprehensive tests.
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 ...
Discover OpenFang, the Rust-based Agent Operating System that redefines autonomous AI. Learn how its sandboxed architecture, pre-built "Hands," and security-first design outperform traditional Python ...
No code, no problem ...
Researchers at a Melbourne start-up have taught their “biological computer” made from living human brain cells to play Doom.
On February 20, 2026, AI company Anthropic released a new code security tool called Claude Code Security. This release ...
Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.
Mercury 2 introduces diffusion LLMs to text, delivering 10x faster speeds for AI agents and production workflows without sacrificing reasoning power.
Its use results in faster development, cleaner testbenches, and a modern software-oriented approach to validating FPGA and ASIC designs without replacing your existing simulator.
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