This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. Since the early days of artificial intelligence, computer scientists have ...

Welcome to Neural Basics, a collection of guides and explainers to help demystify the world of artificial intelligence. If I asked you to name the objects in the picture below, you would probably come ...

In today's rapidly evolving world, the transformative power of artificial intelligence (AI) is undeniable. Across various industries, AI has emerged as an indispensable tool, offering unparalleled ...

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 ...

State-of-the-art image-classifying AI models trained on ImageNet, a popular (but problematic) dataset containing photos scraped from the internet, automatically learn humanlike biases about race, ...

Researchers have shrunk state-of-the-art computer vision models to run on low-power devices. Growing pains: Visual recognition is deep learning’s strongest skill. Computer vision algorithms are ...

Computer vision stands at the intersection of artificial intelligence (AI), machine learning and computer graphics, revolutionizing how machines perceive and interact with the visual world. Computer ...

In 1991, Microsoft founder Bill Gates put up his company’s specialized research arm The aptly named Microsoft Research was to be the vehicle to fulfill Gates’ “vision that computers would one day see, ...

*Not like this robot-vision stuff is hard work by engineers, or anything. Efficiently solving multi-label MRFs (Readme) (C/C++ code) Segmentation, object category labelling, stereo Multi-label ...