Recent comments from Tim Cook and a blockbuster acquisition are painting an interesting picture of Apple's interest in AI hardware.

For many decades, artificial intelligence was considered a product of science fiction, a world with futuristic robots, ...

At CES, what stood out to me was just how much Nvidia and AMD focused on a systems approach, which may be the most ...

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in image-related tasks. These systems have found applications in medical diagnosis, ...

Abstract: Modern railways continue to strive for remote and automated methods to improve the visual inspection procedures for their assets. In some cases, these inspections provide new information ...

O. Rose Broderick reports on the health policies and technologies that govern people with disabilities’ lives. Before coming to STAT, she worked at WNYC’s Radiolab and Scientific American, and her ...

TULSA, Okla. — The voter-approved Vision 2025: Foresight 4 Greater Tulsa funding package put several big projects within sight for Tulsa County and Tulsa proper, and finished earlier this year. It ...

[Dennis] of [Made by Dennis] has been building a Voron 0 for fun and education, and since this apparently wasn’t enough of a challenge, decided to add a number of scratch-built improvements and ...

A new business called Jackson Rising has opened on Capital Street in Downtown Jackson. Jackson Rising is a public-private partnership aimed at spurring business development in the city's central ...

Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new problem for AI to tackle in 2026. Opinion I have followed computer vision and ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

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 ...