The novelty of AI is wearing off in the enterprise landscape, and organizations are rightfully focused now on AI driving results.

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 ...

Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

For all the upheaval of the digital revolution, remarkably little has changed about how we physically interact with reality.

Overview: Modern Large Language Models are faster and more efficient thanks to open-source innovation.GitHub repositories remain the main hub for building, test ...

Powered by Gensonix AI DB, Scientel ‘s LLM solution supports multiple DB nodes in a single LLM application Our ...

Scoping review finds large language models can support glaucoma education and decision support, but accuracy and multimodal limits persist.

Scientists warn that current AI tests reward polite responses rather than real moral reasoning in large language models.

A meta-analysis suggests that large language model-simplified radiology reports improve patient understanding and readability ...

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.