This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.

Last year, I participated in a roundtable discussion on artificial intelligence at Fluke Reliability’s Thought Leadership Day ...

A Stanford engineer has demonstrated that frontier language models can run directly on everyday edge devices using convex ...

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

Artificial intelligence (AI) is rapidly transforming healthcare. AI systems can now detect diabetic eye disease from retinal photos and analyze CT images for signs of early-stage lung cancers and ...

AI systems that understand and generate text, known as language models, are the hot new thing in the enterprise. A recent survey found that 60% of tech leaders said that their budgets for AI language ...

At NVIDIA GTC 2026, DeepRoute.ai presented a comprehensive introduction to its 40-billion-parameter Vision-Language-Action (VLA) Foundation Model architecture, representing a fundamental breakthrough ...