Made of silicon, these in-sensor visual processing arrays can both capture and process visual data in the analog domain, as opposed to conventional systems that often physically separate these ...

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 ...

Conventional silicon architecture has taken computer vision a long way, but Purdue University researchers are developing an alternative path — taking a cue from nature — that they say is the ...

ALISO VIEJO, Calif.--(BUSINESS WIRE)--indie Semiconductor (Nasdaq: INDI), an Autotech solutions innovator, has expanded its automotive camera video processor portfolio with the commercial release of ...

Expands indie’s Growing and Class-leading Camera Video Processor Portfolio Meets OEM Demands for Scalable ADAS Vision Architectures for Mass-market Deployments Provides both Viewing and Sensing ...

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 ...

Integrated with eYs3D's Proprietary XINK-ll Edge Spatial Computing Platform and the Sense and React™ Human-Machine Interaction Development Interface, These Innovations Provide Robust Support for Human ...

Computer vision (sometimes called machine vision) is one of the most exciting applications of artificial intelligence. Algorithms that are able to understand images – both pictures and moving video – ...