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 ...
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, ...
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 ...
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, ...
We’ve long known that our digital cameras and smartphones can take incredibly detailed images, but taking pictures is not quite the same thing. For the past half-century, computer scientists have been ...
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 ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The process of identifying objects and understanding the world through ...
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 ...
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 ...
Smart transportation is one of the fundamental components of smart cities. The integration of digital technologies with physical transport infrastructure will transform how people live, work and ...
*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 ...
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