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.

Researchers at Australian start-up Cortical Labs have taught human neurons grown on a chip to play the classic Doom game. In 2021, they had already used 800,000 neurons to play Pong. Now, with four ...

A side-by-side comparison of ChatGPT and Google Gemini, exploring context windows, multimodal design, workspace integration, search grounding, and image quality.

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

In a March 3 update, Xiaomi founder and CEO Lei Jun said the company’s humanoid robots have started “internships” at its EV plant, including autonomous operations in real manufacturing scenarios. He ...

Are AGENTS.md files actually helping your AI coding agents, or are they making them stupider? We dive into new research from ETH Zurich, real-world experiments, and security risks to find the truth ...

Investors wiped $40 billion from IBM's market cap after Anthropic released COBOL translation tools. Analysts say the market ...

Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics ...

In a Reddit post, a techie shared how his colleague was fired for using AI to write code that later caused a production issue. “Using AI in your job instead of understanding code got my colleague ...

Two days to a working application. Three minutes to a live hotfix. Fifty thousand lines of code with comprehensive tests.

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

When developers ask AI assistants to write charting code, something predictable happens. The AI generates property names that do not exist. If the developer uses that code, it will not compile — and ...