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

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 ...

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.

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 ...

The world's first Tibetan large language model and its application, DeepZang, has been officially unveiled in Lhasa, ...

For 20 years, this computational linguistics competition has inspired new generations of innovators in AI and language ...

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.

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 ...

A deep learning model trained on more than 14,000 Pakistani news articles can spot misinformation with 96% accuracy, ...

OpenAI Group PBC and Mistral AI SAS today introduced new artificial intelligence models optimized for cost-sensitive use cases. OpenAI is rolling out two algorithms called GPT-5.4 mini and GPT 5.4 ...

HONG KONG and SHANGHAI, March 15, 2026 /PRNewswire/ -- Ping An Insurance (Group) Company of China, Ltd. ("Ping An" or "the Group"; HKEX: 2318/82318; SSE: 601318) announced that PingAnGPT-Qwen3-32B, ...

Memory-based Small Language Models deployed across virtualized, highly distributed telecommunications networks achieve sub-500ms response times and up to 40x lower operating costs compared to LLMs on ...