How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...

ECE Prof. B.S. Manjunath, is honored as the first Frank Koenig Distinguished Chair — one four endowed chairs in the department From the Robert Mehrabian College of Engineering News (RMCOE) article ...

Matt is an associate editorial director and award-winning content creation leader. He is a regular contributor to the CDW Tech Magazines and frequently writes about data analytics, software, storage ...

[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 ...

Apple @ Work is exclusively brought to you by Mosyle, the only Apple Unified Platform. Mosyle is the only solution that integrates in a single professional grade platform all the solutions necessary ...

Today, Apple confirmed its participation in the 2025 International Conference on Computer Vision (ICCV), which will take place from October 19 to 23 in Honolulu. Here are the studies the company will ...

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 ...

Computer vision moved fast in 2025: new multimodal backbones, larger open datasets, and tighter model–systems integration. Practitioners need sources that publish rigorously, link code and benchmarks, ...

There's a lot of excitement about ambient artificial intelligence in healthcare, but smart hospital platform Artisight has its eyes on developing fully hands-free autonomous monitoring and ...

Editor’s note: This is part of a series featuring the five finalists in the 14th annual Carroll Biz Challenge. The competition, which will conclude with a live finale at the Carroll Arts Center in ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.