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 ...

There is an all-out global race for AI dominance. The largest and most powerful companies in the world are investing billions in unprecedented computing power. The most powerful countries are ...

Cybersecurity today faces a key challenge: It lacks context. Modern threats—advanced persistent threats (APTs), polymorphic malware, insider attacks—don’t follow static patterns. They hide in plain ...

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 ...

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...

In the late 1970s, a Princeton undergraduate named John Aristotle Phillips made headlines by designing an atomic bomb using only publicly available sources for his junior year research project. His ...

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

CX software provider Genesys unveiled Genesys Cloud Agentic Virtual Agent, positioning it as the industry’s first agent built ...

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