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 ...

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 ...

Abstract: UWB TDoA localization accuracy degrades in industrial non-line-of-sight (NLOS) environments, where traditional methods of excluding NLOS links are often infeasible and degrade geometric ...

Abstract: With the emergence of the Ransomware-as-aService (RaaS), ransomware threats became more destructive by encrypting files and holding them for ransom, rendering ransomware detection crucially ...