Musicians and filmmakers adopted AI as a standard part of the audio-production toolbox. What happened: Professional media makers embraced neural networks that generate new sounds and modify old ones. Voice actors bristled.

In 2021, transformers were harnessed to discover drugs, recognize speech, and paint pictures — and much more.

While models like GPT-3 and EfficientNet, which work on text and images respectively, are responsible for some of deep learning’s highest-profile successes, approaches that find relationships between text and images made impressive

If you change an image by moving its subject within the frame, a well trained convolutional neural network may not recognize the fundamental similarity between the two versions. New research aims to make CNN wise to such alterations.

A system from California startup SewerAI analyzes videos of underground pipes to prioritize those in need of repair.

Flippy 2, a robotic fry station from California-based Miso Robotics, has been newly deployed in a Chicago White Castle location.

The cost of training top-performing machine learning models has grown beyond the reach of smaller companies.

A new machine learning method aims to improve a machine’s ability to determine and locate points of interest.

Accusations of fraud hang over some of the world’s most highly valued artworks. Machine learning engineers are evaluating the authenticity of these famous pieces.

Google designed its own AI chip for its new smartphone — a snub to Qualcomm, the dominant chip vendor in Android phones. What’s new: Google debuted the Tensor chip last week

To understand a movie scene, viewers often must remember or infer previous events and extrapolate potential consequences. New work improved a model’s ability to do the same.

What if AI-enabled monitoring isn’t just for dictators and despots?The fear: Under the pretext of maintaining law and order, even countries founded on a commitment to individual rights allow police to take advantage of smart-city infrastructure and smart-home devices.

War is already bad enough. What happens when human combatants are replaced by machines?

The emerging generation of trillion-parameter models needs datasets of billions of examples, but the most readily available source of examples on that scale — the web — is polluted with bias and antisocial expressions. A new study examines the issue.

The transformer architecture is notoriously inefficient when processing long sequences — a problem in processing images, which are essentially long sequences of pixels. One way around this is to break up input images and process the pieces