In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three ...

Last week, Nvidia’s public reveal of DLSS 5—and its “generative AI” enhanced glow-ups of gaming scenes—drew widespread ...

In a dizzying age of machine learning triumph, where systems can generate human-like prose, diagnose medical conditions, and synthesize novel proteins, the AI research community is facing an ...

Dario Amodei, CEO of the California-based AI company Anthropic, made a bold prediction about the future of software engineering, suggesting that AI models could soon take over most, if not all, tasks ...

Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping light effects ...

At HIMSS26, leaders from Emory Healthcare and Mass General Brigham discussed how initiatives like the Healthcare AI Challenge ...

Then, AI arrived everywhere at once. Suddenly, the hardest questions in the boardroom are no longer “Did we follow the ...

Medicomp Systems' CEO adds that the challenge for HIMSS26 attendees in 2026 is harnessing AI-enabled efficiency while ...