Graph showing system that examines X-ray images to predict which Covid-19 patients are at greatest risk of decline
Facebook

Covid-19 Triage: Computer vision for x-rays helps triage Covid-19 patients.

The pandemic has pushed hospitals to their limits. A new machine learning system could help doctors make sure the most severe cases get timely, appropriate care.
Person in wheelchair, person in side profile, person wearing a hoodie
Facebook

Human Disabilities Baffle Algorithms: Facebook blocked ads aimed at people with disabilities.

Facebook’s content moderation algorithms block many advertisements aimed at disabled people. The social media platform’s automated systems regularly reject ads for clothing designed for people with physical disabilities.
Series of images showing improvements in a multilingual language translator
Facebook

Better Zero-Shot Translations: A method for improving transformer NLP translation

Train a multilingual language translator to translate between Spanish and English and between English and German, and it may be able to translate directly between Spanish and German as well. New work proposes a simple path to better machine translation between languages.
Facebook service describing a photo on Instagram
Facebook

Every Picture Tells a Story: Facebook expands automated alternative text.

Facebook expanded a system of vision, language, and speech models designed to open the social network to users who are visually impaired. A Facebook service that describes photos in a synthesized voice now recognizes 1,200 visual concepts — 10 times more than the previous version.
Animation alternating sad and happy emojis
Facebook

Online Clues to Mental Illness: NLP model spots signs of mental illness in Facebook posts.

Can social media posts reveal early signs of mental illness? A new machine learning model shows promising results. Researchers developed a model that analyzes messages and images posted by Facebook users for indicators of psychological problems.
Group of people having a snowball fight and covering with a giant Facebook like button
Facebook

Algorithms Against Disinformation: How Facebook, Twitter, and more fought disinfo in 2020.

The worldwide pandemic and a contentious U.S. election whipped up a storm of automated disinformation, and some big AI companies reaped the whirlwind.
Animations depicting benchmarking, datasets and best practices
Facebook

Prosperity of the Commons: Tools from MLCommons for improved model development

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.
Screen captures of online platform Dynabench
Facebook

Dynamic Benchmarks: A platform for fooling language models

Benchmarks provide a scientific basis for evaluating model performance, but they don’t necessarily map well to human cognitive abilities. Facebook aims to close the gap through a dynamic benchmarking method that keeps humans in the loop.
Example of Occupancy Anticipation, a navigation system that predicts unseen obstacles, working
Facebook

Guess What Happens Next: Research teaches robots to predict unseen obstacles.

New research teaches robots to anticipate what’s coming rather than focusing on what’s right in front of them. Researchers developed Occupancy Anticipation (OA), a navigation system that predicts unseen obstacles in addition to observing those in its field of view.
Examples of detection of animals in images using Detection Transformer (DETR).
Facebook

Computer Vision Transformed: Google's Detection Transformer (DETR) for object detection

The transformer architecture that has shaken up natural language processing may replace recurrent layers in object detection networks. A Facebook team led by Nicolas Carion and Francisco Massa simplified object detection pipelines by using transformers, yielding Detection Transformer (DETR).
Neural network tracking the body position of chimpanzees
Facebook

Model See, Model Do: Researchers use DensePose to analyze animal behavior.

Scientists who study animal behavior spend endless hours observing and taking notes about a creature’s actions and reactions. Computer vision could automate much of that work.
Excerpt from study about models that learn to predict task-specific distance metrics
Facebook

Misleading Metrics: Advances in metric learning may be illusions.

A growing body of literature shows that some steps in AI’s forward march may actually move sideways. A new study questions advances in metric learning.
Partnership in AI, Amazon, Baidu, Google, Facebook, IBM, Microsoft logos
Facebook

Baidu Leaves Partnership on AI: Chinese tech giant exits a consortium on AI bias and privacy.

Baidu backed out of a U.S.-led effort to promote ethics in AI, leaving the project without a Chinese presence. The Beijing-based search giant withdrew from the Partnership on AI, a consortium that promotes cooperation on issues like digital privacy and algorithmic bias.
Illustration of a broken heart with a smirk in the middle
Facebook

Outing Hidden Hatred: How Facebook built a hate speech detector

Facebook uses automated systems to block hate speech, but hateful posts can slip through when seemingly benign words and pictures combine to create a nasty message. The social network is tackling this problem by enhancing AI’s ability to recognize context.
Graphs and data related to Plan2Vec
Facebook

Visual Strategies for RL: Plan2Vec helps reinforcement learning with complex tasks.

Reinforcement learning can beat humans at video games, but humans are better at coming up with strategies to master more complex tasks. New work enables neural networks to connect the dots.

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