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Facebook AI


Today, we are releasing the first-ever external demo based on Meta AI’s self-supervised learning work. We focus on Vision Transformers pretrained with DINO, a method we released last year that has grown in popularity based on its capacity to understand the semantic layout of an image. Our choice to focus the first demo on DINO is motivated …

Wikipedia, which is consistently ranked one of the top 10 most visited websites, is often the first stop for many people looking for information about historical figures and changemakers. But not everyone is equally represented on Wikipedia. Only about 20 percent of biographies on the English site are about women, according to the Wikimedia Foundation, and we …

We’re excited to announce new advances in SEER (SElf-SupERvised), Meta AI Research’s groundbreaking self-supervised computer vision model that can learn directly from any random collection of images on the internet — without the need for careful data curation and labeling that goes into conventional computer vision training — and then output an image embedding. SEER is now …

AI powers back-end services like personalization, recommendation, and ranking that help enable a seamless, customizable experience for people who use our products and services. But understanding how and why AI operates can be difficult for everyday users and others. We’re aiming to change that. At Meta, we believe it’s important to empower people with tools …

For all the remarkable recent progress in AI research, we are still very far from creating machines that think and learn as well as people do. As Meta AI’s Chief AI Scientist Yann LeCun notes, a teenager who has never sat behind a steering wheel can learn to drive in about 20 hours, while the …

Building for the metaverse is the most ambitious long-term project Meta has ever attempted, and the experiences we’re envisioning are impossible to deliver with the software and hardware that exists today. Getting there will require major advances in almost every technology we work with. A common link between many of these advances, from ultra-realistic immersive …

Since the start of the COVID-19 pandemic, many of us have become accustomed to using or viewing virtual backgrounds and background filters when video chatting with friends, coworkers, or family. Altering our backgrounds during video calls gives us greater control over our environments, helping us eliminate distractions, protect the privacy of the people and spaces …

People use AI for a wide range of speech recognition and understanding tasks, from enabling smart speakers to developing tools for people who are hard of hearing or who have speech impairments. But oftentimes these speech understanding systems don’t work well in the everyday situations when we need them most: Where multiple people are speaking …

Children draw fascinatingly unique and inventive characters that push our imaginations and require us to think a little differently to recognize the people and things in their pictures. While it can be fairly simple for a parent or teacher to see what a child’s drawing is meant to show, AI struggles with this task. Kids’ …

Harmful content can evolve rapidly — whether fueled by current events or by people looking for new ways to evade our systems — and it’s crucial for AI systems to evolve alongside it. But AI needs to learn what to look for and it typically takes several months to collect and label thousands, if not …