New research aims to open the ‘black box’ of computer vision It can take years of birdwatching experience to tell one species from the next. But using an artificial intelligence technique ca... Read more
Researchers from UCLA Samueli School of Engineering and Stanford have demonstrated a computer system that can discover and identify the real-world objects it “sees” based on the same method... Read more
Breakthrough CSAIL system suggests robots could one day be able to see well enough to be useful in people’s homes and offices. Humans have long been masters of dexterity, a skill that can la... Read more
University of Washington researchers have developed new algorithms that solve a thorny challenge in the field of computer vision: turning audio clips into a realistic, lip-synced video of th... Read more
Robots’ maps of their environments can make existing object-recognition algorithms more accurate. John Leonard’s group in the MIT Department of Mechanical Engineering specializes in SLAM, or... Read more
What is this bird? Merlin says Blackburnian Warbler! In a breakthrough for computer vision and for bird watching, researchers and bird enthusiasts have enabled computers to achieve a task th... Read more
Researchers in UCSB’s Department of Electrical and Computer Engineering are seeking to make computer brains smarter by making them more like our own. In what marks a significant step forward... Read more
Dartmouth researchers and their colleagues have created an artificial intelligence software that uses photos to locate documents on the Internet with far greater accuracy than ever before. T... Read more
A new type of driverless shuttle vehicle has been developed thanks to innovative computer vision guidance technology that enables the vehicle to locate itself on a roadway reliably and inexp... Read more
A photo is worth a thousand words, but what if the image could also represent thousands of other images? New software developed by UC Berkeley computer scientists seeks to tame the vast amou... Read more
Researchers at Columbia Engineering, led by Computer Science Professor Peter Belhumeur, have taken bird-watching to a new level. Using computer vision and machine learning techniques they ha... Read more
Two groups of scientists, working independently, have created artificial intelligence software capable of recognizing and describing the content of photographs and videos with far greater ac... Read more
Highly accurate system learns to decipher images on its own If we’ve learned anything from post-apocalyptic movies it’s that computers eventually become self-aware and try to eliminate human... Read more
NEIL program labels images, learns associations with minimal help from people A computer program called the Never Ending Image Learner (NEIL) is running 24 hours a day at Carnegie Mellon Uni... Read more
