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 ...

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 ...

Learners will be able to explain what Computer Vision is and give examples of Computer Vision tasks. Learners will be able to describe the process behind classic algorithmic solutions to Computer ...

Computer vision (CV) and image processing are two closely related fields that utilize techniques from artificial intelligence (AI) and pattern recognition to derive meaningful information from images, ...

Welcome to TNW’s beginner’s guide to AI. This (currently) four part feature should provide you with a very basic understanding of what AI is, what it can do, and how it works. The guide contains ...

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 ...

In under 60 years, computer programming has gone from excruciately producing punch cards to instantly creating algorithms that can recognize people in photos. What lies ahead? At Cornell’s weekly ...

Randy Barrett is a freelance writer and editor based in Washington, D.C. A large part of his portfolio career includes teaching banjo and fiddle as well as performing professionally. Over time, human ...

Computer vision, or the ability of artificially intelligent systems to “see” like humans, has been a subject of increasing interest and rigorous research for decades now. As a way of emulating the ...