In some animated games, different characters can perform the same actions — say, walking, jumping, or casting spells. A new system learned from unlabeled data to transfer such motions from one character to another.

Self-attention is a key element in state-of-the-art language models, but it struggles to process images because its memory requirement rises rapidly with the size of the input. New research addresses the issue with a simple twist on a convolutional neural network.

A new system combines verbal descriptions and crude lines to visualize complex scenes. Google researchers led by Jing Yu Koh proposed Tag-Retrieve-Compose-Synthesize (TReCS), a system that generates photorealistic images by describing what they want to see while mousing around on a blank screen.

Smart glasses in the works at Facebook may be equipped with face recognition. The social media colossus plans to market augmented-reality headgear, and it’s considering a feature that would overlay a person’s name on their face.

Having dismissed two key researchers, Google restructured its efforts in AI ethics. Marian Croak, an accomplished software engineer and vice president of engineering at Google, will lead a new center of expertise in responsible AI, the company announced.

AI may help revolutionize the human diet – or dessert, at least.What’s new: Google applied AI engineer Dale Markowitz and developer advocate Sara Robinson trained a model to predict whether a recipe is a

Performance in language tasks rises with the size of the model — yet, as a model’s parameter count rises, so does the time it takes to render output. New work pumps up the number of parameters without slowing down the network.

The same models trained on the same data may show the same performance in the lab, and yet respond very differently to data they haven’t seen before. New work finds this inconsistency to be pervasive.

How much processing power do various nations have on hand to drive their AI strategy? An international trade group aims to find out. The Organisation for Economic Co-operation and Development (OECD) is launching an effort to measure the computing capacity available in countries around the world.

Western governments and institutions struggling to formulate principles of algorithmic fairness tend to focus on issues like race and gender. A new study of AI in India found a different set of key issues.

With access to a trained model, an attacker can use a reconstruction attack to approximate its training data. A method called InstaHide recently won acclaim for promising to make such examples unrecognizable to human eyes while retaining their utility for training.

A new consortium of companies, schools, and research labs is building open tools for next-generation machine learning. MLCommons aims to foster innovation in machine learning by developing new benchmarks, datasets, and best practices.

The latest pretrained language models have shown a remarkable ability to learn facts. A new study drills down on issues of scale, showing that such models might learn the approximate weight of a dog or cost of an apple, at least to the right order of magnitude.

A computer vision system is helping to keep runners with impaired vision on track.What’s new: A prototype smartphone app developed by Google translates camera images into audio signals.

Controversy erupted over the need for transparency in research into AI for medicine. Google Health introduced a system that purportedly identified breast cancer more accurately than human radiologists.