Phil Goldstein is a former web editor of the CDW family of tech magazines and a veteran technology journalist. He lives in Washington, D.C., with his wife and their animals: a dog named Brenna, and ...

Patent Protects Foundational Cloud-Based Architecture Enabling Scalable AI Video Intelligence, Remote Monitoring, and ...

LAS VEGAS, Jan. 4, 2023 /PRNewswire/ -- Consumer Electronics Show -- CEVA, Inc. (CEVA), the leading licensor of wireless connectivity and smart sensing technologies and co-creation solutions today ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Chip designer Ambarella has announced a new computer vision chip for ...

The global computer vision in healthcare market is projected to expand at a compound annual growth rate (CAGR) of approximately 25% over the forecast period. This robust growth is driven by the ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Ambarella, Inc. (NASDAQ: AMBA) a leading developer of low-power, HD and Ultra HD video processing semiconductors, today introduced the CV2 camera SoC combining ...

Machine learning is driving a revolution in vision-based IoT applications, but new research combining classic computer vision with deep learning shows significantly better results. Computer vision is ...

Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...

Forbes contributors publish independent expert analyses and insights. I write about contemporary cybersecurity and online privacy issues. Integrating computer vision technology is a big step forward ...

Seeing is believing. For humans, vision is one of the major senses for interacting with our environment. Lenses in our eyes focus light onto the retina. This image is transmitted as an electrical ...

Self-driving cars and their computer-vision systems have received a lot of news coverage, making it clear how difficult it can be to design a robust vision system that performs well in any ...