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

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

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 ...

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

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

Anthropic has long been warning about these risks—so much so that in 2023, the company pledged to not release certain models ...

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

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

I’ve previously written that artificial intelligence operates in a different geometry of thought from the human mind. My idea of anti-intelligence is an attempt to describe that difference more ...

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.