Facebook AI is releasing Multilingual LibriSpeech (MLS), a large-scale, open source data set designed to help advance research in automatic speech recognition (ASR) across multiple languages.
January 22, 2021
January 15, 2021
January 20, 2021
Predictive text makes communicating with colleagues, family, and friends easier and more convenient. Here's how AI makes it work.
January 19, 2021
In 2016 we debuted Automatic Alt Text, making Facebook more accessible by using computer vision tech to describe photos for people who are blind or visually impaired.
It’s challenging for doctors to predict the course of COVID-19 in a patient and how that might impact hospital resources. Today, in partnership with NYU Langone Health’s Predictive Analytics Unit and Department of Radiology, we are open-sourcing AI models that can help hospitals predict up to 96 hours in advance whether a patient’s condition will deteriorate in order to help hospitals plan for resource allocation.
January 12, 2021
Facebook is launching Open Loop, a global initiative to connect policy makers and technology companies to help develop effective and evidence-based policies around AI and other emerging technologies, to develop better Responsible AI regulatory practices.
December 23, 2020
We’re training computer vision models that leverage Transformers, a breakthrough deep neural network architecture. Data-efficient image Transformers (DeiT) use less data and computing resources to produce high-performance image classification AI models, and help the broader academic community experiment with using state-of-the-art image Transformer models.
December 21, 2020
Having a single set of interchangeable building blocks across different AI subfields will help accelerate progress. We’re reengineering our platforms, using Hydra for configs, and offering greater integration with PyTorch Lightning.
December 11, 2020
Hate speech can come in many forms, including memes that combine text and images. We're sharing details on the winners of the Hateful Memes Challenge, a first-of-its-kind competition to help the AI community find new ways to detect multimodal hate speech.
December 04, 2020
At NeurIPS, we’re sharing AI innovations that address real-world challenges — such as advancing NLP for machine translation, understanding patterns of earthquakes.
December 03, 2020
Combining reinforcement learning with search (RL+Search) has been tremendously successful for perfect-information games. But prior RL+Search algorithms break down in
November 19, 2020
A central focus of Facebook’s AI efforts is deploying cutting-edge machine learning technology to protect people from harmful content. With billions of people using our
Building AI that can read and understand complicated text isn’t enough to protect people from harmful content. We need systems that spot a slang-filled or intentionally
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