Collecting and annotating a dataset of facial portraits is a big job. New research shows that synthetic data can work just as well.

Equipment that relies on computer vision while unplugged — mobile phones, drones, satellites, autonomous cars — need power-efficient models. A new architecture set a record for accuracy per computation.

Large models pretrained on immense quantities of text have been proven to provide strong foundations for solving specialized language tasks. My biggest hope for AI in 2022 is...

I believe that natural language processing in 2022 will re-embrace symbolic reasoning, harmonizing it with the statistical operation of modern neural networks. Let me explain what I mean by this.

DeepMind released three papers that push the boundaries — and examine the issues — of large language models.

Microsoft is making GPT-3 available to selected customers through its Azure cloud service.

Facebook disabled face recognition for uploaded photos and videos as well as its retrospective Memories service and promised to delete over 1 billion individual face recognition templates.

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.

Apple, which has made a point of its commitment to user privacy, announced that it will scan iPhones for evidence of child abuse. The tech giant will include a machine learning model on the device.

Foiling attackers who try to lure email users into clicking on a malicious link is a cat-and-mouse game, as phishing tactics evolve to evade detection. But machine learning models designed to recognize phishing attempts can evolve, too, through automatic retraining and checks to maintain accuracy.

Models that interpret the interplay of words and images tend to be trained on richer bodies of text than images. Recent research worked toward giving such models a more balanced knowledge of the two domains.

A model designed to assess medical patients’ pain levels matched the patients’ own reports better than doctors’ estimates did — when the patients were Black.

Models that learn relationships between images and words are gaining a higher profile. New research shows that adversarial learning, usually a way to make models robust to deliberately misleading inputs, can boost vision-and-language performance.

In 2021, I envision that the AI community will create more tools to unleash human creativity. AI will help people across the globe to communicate and express emotions and moods in their own unique ways.

An open source library could spawn trillion-parameter neural networks and help small-time developers build big-league models. Microsoft upgraded DeepSpeed, a library that accelerates the PyTorch deep learning framework.