A: Most pipelines use deep learning backbones like Faster R-CNN, trained on labeled datasets of façades and markings. They ...

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, ...

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 ...

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 ...

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 ...

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 ...

Abby Stylianou built an app that asks its users to upload photos of hotel rooms they stay in when they travel. It may seem ...

*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 ...