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 ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

PLYMOUTH MEETING, PA - March 12, 2026 - PRESSADVANTAGE - Magic Memories operates early learning schools that emphasize ...

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.

I remember the first time I attended a linguistics lecture as an undergraduate in Argentina. The lecturer asked a simple question: where does language come from? My instinctive answer was: books.

Hu, D. (2026) Transformer-Based Automatic Item Generation for Course-Based Test Items: A Case Study of Translation Tasks in China’s Context. Open Journal of Modern Linguistics, 16, 115-128. doi: ...

Google LLC today significantly expanded the availability of the Personal Intelligence tool in its Gemini assistant and search engine. The technology customizes artificial intelligence responses based ...

Artificial intelligence is beginning to play a major role in education, changing how students learn and how teachers deliver instruction. From personalized learning platforms to AI-powered tutoring ...

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.

Sharpa presents new research demonstrating significant improvements in simulation methods for robot training, in collaboration with NVIDIA. This press release features multimedia. View the full ...

At QCon London 2026, Suhail Patel, a principal engineer at Monzo who leads the bank’s platform group, described how the bank ...

Tests and exams often inform too late what should have been known earlier. Stealth assessment and adaptive training may provide exciting opportunities.