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, ...
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 ...
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 ...
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 ...
A set of stacked computer vision algorithms may be applied to the video feed in order to extract from the video feed a user behavior exhibited while the user performed the diagnostic test, evaluate a ...
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 ...
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 ...
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, ...
Computer scientists have combined sophisticated computer vision algorithms and a brain-computer interface to find mines in sonar images of the ocean floor. The study shows that the new method speeds ...
Researchers at Stanford University have created a computer vision algorithm that can analyse an unknown image and describe it using words and phrases. While previous computer vision algorithms have ...
*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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