AI’s concealed labor has repeatedly led us to overestimate the technology. Humanoid robots are entering a similar phase.

Wikipedia shapes our perception of reality today more than ever before because it informs the large language models like ChatGPT. But can we really trust it?

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

The Tri-Cities national laboratory has been assigned research projects under the initiative after losing hundreds of workers in the last fiscal year.

Sasha Stiles turned GPT-2 experiments into a self-writing poem at a Museum of Modern Art installation—and a new way to think about text-generating AI optimization ...

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

Discover seven practical Windows 11 AI features for 2026, from Copilot and Live Captions translation to Recall, Studio ...

Ever had an idea for something that looked cool, but wouldn't work well in practice? When it comes to designing things like ...