Anthropic launches Claude Code Review, a new feature that uses AI agents to catch coding mistakes and flag risky changes before software ships.

For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it ...

For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...

OpenAI’s Codex Security enters research preview, aiming to help teams find, validate, and patch code vulnerabilities with ...

Stop Googling. The answer is staring you right in the face—you just have to read it.

Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data with Python.

Remote work is no longer a pandemic experiment. It is now a permanent part of how the global job market operates. There are now three times more remote jobs available in 2026 than back in 2020 in the ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

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

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 ...