Sleep ZM announces the expansion of its blue-light-blocking glasses line, designed to help address eye strain from extended ...

Abstract: In the rapidly advancing field of computer vision, the application of multimodal models—specifically, vision-language frameworks—has shown substantial promise for complex tasks such as video ...

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 ...

Competition to deploy commercial brain-computer interfaces is heating up. Science Corporation—a competitor to Neuralink founded by the former president of Elon Musk’s brain-interface venture—has ...

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 ...

In the semiconductor industry, the outsourced semiconductor assembly and test (OSAT) sector plays a pivotal role in the global technology landscape. As the backbone of electronic device manufacturing, ...

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.

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

Victoria Kickham, Senior Editor, started her career as a newspaper reporter in the Boston area before moving into B2B journalism. She has covered manufacturing, distribution, and supply chain issues ...

Computer vision projects rarely go exactly as planned, and this one was no exception. The idea was simple: Build a model that could look at a photo of a laptop and identify any physical damage — ...