A new study finds that large language models (LLMs), used with straightforward prompting, perform poorly on routine number-crunching tasks that hospital administrators depend on every day to track ...

Claude Sonnet 4, and Gemini 2.5 Pro dynamically — no hardcoded pipelines, fewer tokens than competing frameworks.

In a region still chasing hyperscalers, the more immediate challenge, especially for cross-border enterprises, is how to ...

A cutting-edge large language model (LLM) outperformed human doctors in common clinical reasoning tasks including emergency room decisions, identifying likely diagnoses, and choosing next steps in ...

Using visual prompts helped improve glaucoma detection by a large language model, according to a poster presentation at the ...

Support for AI among public safety professionals rose to 90% in 2024, with agencies rapidly adopting large language models (LLMs) to streamline operations and improve engagement. LLMs are being used ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

Generic AI creates risk - domain-trained small language models deliver accuracy, efficiency, and security enterprises need.