A team of researchers at MIT CSAIL, in collaboration with Cornell University and Microsoft, have developed STEGO, an algorithm able to identify images down to the individual pixel.

In a pair of upcoming conference papers, researchers from MIT describe a machine-learning-based algorithm that can register brain MR scans and other 3D images more than 1000 times faster. While ...

EyeEm, the social photo-sharing community and marketplace, has unveiled a clever new technology that lets photographers upload their images and run them through an algorithm for instant keywording ...

Computer vision algorithms usually rely on convolutional neural networks, or CNNs. CNNs typically use convolutional, pooling, ReLU, fully connected, and loss layers to simulate a visual cortex.

Machine vision systems have improved hugely in recent years, but these algorithms can still be tricked by images humans have no problem deciphering. This dataset built by MIT researchers is chock ...

AI image recognition has made some stunning advances, but as new research shows, the systems can still be tripped up by examples that would never fool a person. Labsix, a group of MIT students who ...

Researchers adapted a well-known computer-vision algorithm used for sharpening photos and, for the first time, applied it to astronomical images from ground-based telescopes. While astrophysicists ...

The paper “VEViD: Vision Enhancement via Virtual diffraction and coherent Detection” utilizes a physics-based algorithm to correct for poor illumination and low contrast in images captured in ...

Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory are working to enable “household” robots to take advantage of their mobility ...

Google offers an AI image classification tool that analyzes images to classify the content and assign labels to them. The tool is intended as a demonstration of Google Vision, which can scale ...