Back in the 1980s, when the study of artificial intelligence was branching out into exciting new realms, Rama Chellappa organized a national conference focused on two emerging niches: computer vision ...

Machine vision refers to a computer being able to see. Often, the computers use different cameras for video, Analog-to-Digital Conversion), and DSP (Digital Signal Processing) to see. After this, the ...

Of the seven patterns of AI that represent the ways in which AI is being implemented, one of the most common is the recognition pattern. The main idea of the recognition pattern of AI is that we’re ...

The Computer Vision and Machine Learning focus area builds on the pioneering work at UB in enabling AI innovation in language and vision analytic sub-systems and their application to the fields of ...

What’s driving the expanding landscape for machine vision? The role of low-power connectivity in advancing vision technology. Color and event-triggered image capture. Machine-vision systems have been ...

Back in October, Apple published its first research paper related to artificial intelligence and machine learning. The paper, titled "Learning from Simulated and Unsupervised Images through ...

George Bebis is a Foundation Professor in the Department of Computer Science and Engineering (CSE) at the University of Nevada, Reno and Director of the Computer Vision Laboratory (CVL). From 2013 to ...

AI-enabled vision systems are rapidly emerging as a transformative force in yard and warehouse management. These systems combine industrial 3D cameras, advanced machine vision software, and AI-driven ...

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 two ...