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, and applied AI systems.

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 ...

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 ...

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

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 ...

Exposed endpoints quietly expand attack surfaces across LLM infrastructure. Learn why endpoint privilege management is important to AI security.

Abstract: Cognitive load assessment through electroencephalography (EEG) signals represents a crucial research frontier in brain–computer interface (BCI) development. To systematically investigate the ...

Now available in technical preview on GitHub, the GitHub Copilot SDK lets developers embed the same engine that powers GitHub ...

Studies were included if they focused on the development and application of LLMs within health care using PHI, encompassing activities such as model construction, fine-tuning, optimization, testing, ...