From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Microsoft released new open‑source quantum development tools that deepen VS Code and Copilot integration while targeting real ...

Learn how to find and make the best use of valuable insights buried in your company’s databases.

WIRED spoke with Boris Cherny, head of Claude Code, about how the viral coding tool is changing the way Anthropic works.

The “one big breakthrough” pattern suggests that total citation counts can mislead. A researcher with one highly-cited paper ...

Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...

According to the Allen Institute for AI, coding agents suffer from a fundamental problem: Most are closed, expensive to train ...

The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical ...

Field notes from our human-AI collaboration summit: the 70/30 problem, why agents don't push back, and AI's role as catalyst ...