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

To fill the talent gap, CS majors could be taught to design hardware, and the EE curriculum could be adapted or even shortened.

Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out.

For decades, the retail industry has faced the same persistent problems of empty shelves, pricing errors and inventory discrepancies. Despite having spent billions of dollars on data analytics and ...

According to Satya Nadella, Microsoft has advanced its Researcher AI tool with a new feature called Computer Use, enabling it to securely browse both open and gated web sources to gather hard-to-find ...

California-based Cognixion is launching a clinical trial to allow paralyzed patients with speech disorders the ability to communicate without an invasive brain implant. Cognixion is one of several ...

Cataract-LMM is an enterprise-grade AI framework designed for large-scale, multi-center surgical video analysis. Built on modern software engineering principles, this repository provides ...

Abstract: Multi-task learning (MTL) has emerged as a crucial approach for addressing complex computer vision problems in autonomous driving, such as semantic segmentation, object detection, and ...

Re “Losing My Vision and Seeing Life Anew,” by Dani Shapiro (Opinion guest essay, Aug. 10): Thank you, Dani Shapiro, for your delightful article on seeing the world in a blurred fashion. I, too, have ...