Introducing DINOv3: a state-of-the-art computer vision model trained with self-supervised learning (SSL) that produces powerful, high-resolution image features. For the first time, a single frozen vision backbone outperforms specialized solutions on multiple long-standing dense

We're excited to share that we have Day-0 support in Hugging Face Transformers for DINOv3 so people can easily leverage the full family of models. Find out more on @huggingface here:

What do you want to know?.

To help foster innovation and collaboration in the computer vision community, we’re releasing DINOv3 under a commercial license with a full suite of pre-trained backbones, adapters, training and evaluation code, and (much!) more. Find them here:

A few highlights of DINOv3 👇. 1️⃣SSL enables 1.7B-image, 7B-param training without labels, supporting annotation-scarce scenarios including satellite imagery.2️⃣Produces excellent high-resolution features and state-of-the art performance on dense prediction tasks.3️⃣Diverse

🏆 We're thrilled to announce that Meta FAIR’s Brain & AI team won 1st place at the prestigious Algonauts 2025 brain modeling competition. Their 1B parameter model, TRIBE (Trimodal Brain Encoder), is the first deep neural network trained to predict brain responses to stimuli

2️⃣ We’re also releasing the Open Molecular Crystals (OMC25) dataset, comprised of 25 million structures, that was created to enable the FastCSP workflow. Read the paper: Find the dataset: . We’re excited to share these advances,.

The Meta FAIR Chemistry team continues to make meaningful strides. 1️⃣ Today we’re announcing FastCSP, a workflow that generates stable crystal structures for organic molecules. This accelerates material discovery efforts and cuts down the time to design molecular crystals from

We’re excited to introduce the Open Direct Air Capture 2025 dataset, the largest open dataset for discovering advanced materials that capture CO2 directly from the air. Developed by Meta FAIR, @GeorgiaTech, and @cusp_ai, this release enables rapid, accurate screening of carbon

Today Mark shared Meta’s vision for the future of personal superintelligence for everyone. Read his full letter here:

We're excited to have @shengjia_zhao at the helm as Chief Scientist of Meta Superintelligence Labs. Big things are coming! 🚀. See Mark's post:

We're rapidly expanding our AI infrastructure and have adopted a novel approach of building weather-proof tents to house GPU clusters. This enables us to get new data centers online in months instead of years. 🚀 . Read more in this @FastCompany article:

We’re thrilled to see our advanced ML models and EMG hardware — that transform neural signals controlling muscles at the wrist into commands that seamlessly drive computer interactions — appearing in the latest edition of @Nature. Read the story: Find

RT @thealliance_ai: 🚨 New open-source drop: The AI Alliance is now supporting Llama Stack, a modular AI application framework developed by….

Meta FAIR recently released the Seamless Interaction Dataset, the largest known high-quality video dataset of its kind, with:. 4,000+ diverse participants.4,000+ hours of footage.65k+ interactions.5,000+ annotated samples. This dataset of full-body, in-person, face-to-face

This week we shared an open source AI tool that will help accelerate the discovery of high-performance, low-carbon concrete. See the full story in the thread below. You can also find research artifacts for this project here: . 1️⃣ Technical report with details of the model and.

"Our mission with the lab is to deliver personal superintelligence to everyone in the world. So that way, we can put that power in every individual's hand." - Mark . Watch Mark's full interview with The Information as he goes deeper on Meta's vision for superintelligence and.

Today Mark announced Meta's major AI compute investment. See his post:

Head to our blog to go deeper on the full story:

One more thing… you can also check out this technical report detailing our methodology to build motion models on the dataset, along with an evaluation framework for this type of model:

We’re also publicly releasing the Seamless Interaction Dataset, with 4,000+ participants and 4,000+ hours of interactions, making it the largest known video dataset of its kind. This dataset enables our audiovisual behavioral models to understand and generate human-like social