An analysis of LLM referral traffic shows low volume, rapid growth, shifting citations, and an 18% conversion rate.

The most popular way we evaluate large language models measures the wrong thing: likeability over accuracy and value.

Integrating AI with advanced robotics to create self-driving labs (SDL) is a promising approach to tackling molecular discovery. A new SDL system, called LUMI-lab, combines large-scale molecular ...

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 ...

Large language models (LLMs), artificial intelligence (AI) systems that can process human language and generate texts in ...

If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...

India’s sovereign AI push is taking shape through a layered stack spanning foundation models, public digital infrastructure, ...

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

Tests on GPT and Claude found they ignored invented spells Fumbus and Driplo; training data can override new input, trust ...

AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...

Now available in technical preview on GitHub, the GitHub Copilot SDK lets developers embed the same engine that powers GitHub Copilot CLI into their own apps, making it easier to build agentic ...