Researchers implant 'digital watermarks' using a neural network to easily spot manipulated photos and video

UCLA psychologists' experiments demonstrate severe limitations of 'deep learning' machines

Mirrored slides now allow significantly sharper images

A fulsome smile in a photo makes it easier for people to identify the individual, say researchers at the University of York

Steganalysis is of growing interest to forensic investigators analyzing digital photos, which might contain hidden content related to a criminal case

To advance video facial identification for these and other applications, the National Institute of Standards and Technology conducted a large public test known as the Face in Video Evaluation

DARPA awards NYU Tandon professor and fellow researchers $10 million to use artificial intelligence to catch the subtlest manipulations of images and video