Cornell University

Training a model to separate the objects in a picture typically requires labeled images for best results. Recent work upped the ante for training without labels.

Machine learning researchers tend to trust international organizations, distrust military forces, and disagree on how much disclosure is necessary when describing new models, a new study found.

Privacy advocates want deep learning systems to forget what they’ve learned. What’s new: Researchers are seeking ways to remove the influence of particular training examples, such as an individual’s personal information, from a trained model without affecting its performance, Wired reported.

The University of Hong Kong, and Cornell University to create Neural Body, a procedure that generates novel views of a single human character based on shots from only a few angles.

AI is providing an early warning system for volcanoes on the verge of blowing their top. Researchers at the University of Leeds developed a neural net that scans satellite data for indications that the ground near a volcano is swelling—a sign it may be close to erupting.

Most deep learning applications run on TensorFlow or PyTorch. A new analysis found that they have very different audiences. A researcher at Cornell University compared references to TensorFlow and PyTorch in public sources over the past year.