Neural networks can describe in words what’s happening in pictures and videos — but can they make sensible guesses about things that happened before or will happen afterward? Researchers probed this ability.

Neural networks are helping humanitarian observers measure the extent of war damage to Ukraine’s grain crop. Analysts from the Yale School of Public Health and Oak Ridge National Laboratory built a computer vision model that detects grain-storage facilities in aerial photos.

The next green revolution may be happening in the server room. Microsoft open-sourced a set of AI tools designed to help farmers cut costs and improve yields.

The ability to predict customer demand could make fast food even faster. The Mexican-themed Chipotle restaurant chain is testing AI tools that forecast demand, monitor ingredients, and ensure that workers fill orders correctly.

A machine learning model identified areas likely to have been damaged by Hurricane Leo as it swept through the southern United States.

Neural networks are making it possible to view parts of the Moon that are perpetually shrouded by darkness. Researchers devised a method called Hyper-effective Noise Removal U-net Software (HORUS) to remove noise from images of the Moon’s south pole.

Vision Transformers (ViTs) are overtaking convolutional neural networks (CNN) in many vision tasks, but procedures for training them are still tailored for CNNs. New research investigated how various training ingredients affect ViT performance.

A state in Australia plans to outfit prisons with face recognition. Corrective Services NSW, the government agency that operates nearly every prison in New South Wales, contracted the U.S.-based IT firm Unisys to replace a previous system.

Researchers at Baidu introduced PP-Matting, an architecture that, given an image, estimates the transparency of pixels surrounding foreground objects to create mattes without requiring additional input.

A U.S. court ruled against an implementation of AI-powered software designed to catch students who cheat on academic examinations.

French tax authorities netted nearly €10 million using an automated system to identify unregistered pools

A new approach alters transformers' self-attention mechanism to balance computational efficiency with performance on vision tasks.

Shinkei Systems developed a machine that uses computer vision to slaughter fish in a way that maximizes their shelf life and flavor.

ViTDet, a new system from Facebook, adds an object detector to a plain pretrained transformer.

When a neural network learns image labels, it may confuse a background item for the labeled object. New research avoids such mistakes.