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

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 ...

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

RPTU University of Kaiserslautern-Landau researchers published “From RTL to Prompt Coding: Empowering the Next Generation of Chip Designers through LLMs.” Abstract “This paper presents an LLM-based ...

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

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...

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.

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

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

Researchers have coined a new way to trick artificial intelligence (AI) chatbots into generating malicious outputs. AI security startup NeuralTrust calls it "semantic chaining," and it requires just a ...