Making chips for training AI models made it the world’s biggest company, but demand for inference is growing far faster.

Researchers show AI can learn a rare programming language by correcting its own errors, improving its coding success from 39% to 96%.

What started as a university research project has grown into a global movement aimed at reshaping how children learn to think.

Anthropic has introduced Claude Sonnet 4.6, describing it as the most capable version of its Sonnet series so far. The new model is designed to deliver improved performance across several areas, ...

Anthropic today updated its Sonnet model to version 4.6, and the company says it is the most capable Sonnet model to date with upgrades across coding, computer use, long-context reasoning, agent ...

Anthropic has struck a deal to help redesign the computer-coding curricula taught in hundreds of community and state colleges, revving up the race among tech companies to get their AI tools into the ...

Liz Simmons is an education staff writer at Forbes Advisor. She has written about higher education and career development for various online publications since 2016. She earned a master’s degree in ...

SAGINAW, Mich. (WJRT) - Jerome Green STEM Preschool has become the first early childhood program in Michigan to implement a comprehensive Computer Science for All plan. The curriculum integrates ...

TogetherCoder-Preview releases 161K verified coding trajectories achieving 59.4% on SWE-Bench, giving developers unprecedented training data for AI agents. Together AI has released ...

The term “vibe coding” is relatively new: It refers to the process of creating new software applications entirely (or mostly) through AI prompts. The generative AI tools are trained in other app’s ...