Introducing Muse Spark: Scaling Towards Personal Superintelligence
Introducing Muse Spark: Scaling Towards Personal Superintelligence
Introducing Muse Spark: Scaling Towards Personal Superintelligence
Scaling How We Build and Test Our Most Advanced AI
How Alta Daily Uses Meta’s Segment Anything to Reimagine the Digital Closet
SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning
Four MTIA Chips in Two Years: Scaling AI Experiences for Billions
Today, in partnership with the World Resources Institute, we’re announcing Canopy Height Maps v2 (CHMv2): an open source model and world-scale maps generated with it.
Meta's DINOv2 model is enhancing reforestation efforts around the world. Learn how the UK government is using DINO to help reduce costs and increase access to…
By leveraging advanced AI models, teams at the University of Pennsylvania are aiming to bring cutting-edge automation to emergency response.
The Universities Space Research Association and Meta are collaborating to help support water observing systems set up by the U.S. Geological Survey.
SAM Audio transforms audio processing by making it easy to isolate any sound from complex audio mixtures using natural, multimodal prompts — whether through text, visual…
Start-ups like Conservation X Labs are using Meta’s Segment Anything Models to bolster on-the-ground conservation expertise.
ExecuTorch, Meta’s open source, lightweight, and efficient inference engine, has been instrumental in enabling on-device AI capabilities across Meta’s family of apps.
This release introduces two new state-of-the-art models: SAM 3D Objects for object and scene reconstruction, and SAM 3D Body for human body and shape estimation.
We’re introducing Meta Omnilingual Automatic Speech Recognition, a suite of models providing automatic speech recognition capabilities for over 1,600 languages.
At PyTorch Conference 2025 in San Francisco, we unveiled five new projects spanning kernel languages, distributed systems, reinforcement learning, agentic frameworks, and edge AI deployment.
Instituto PROA, a nonprofit organization in Brazil, has transformed its job preparation process for young candidates by leveraging Llama and Oracle Cloud Infrastructure.
DINOv3 scales self-supervised learning for images to create universal vision backbones that achieve absolute state-of-the-art performance across diverse domains, including web and satellite imagery.
Using DINOv2, the team at NASA's Jet Propulsion Laboratory built a convenient robot operating system interface for robotic tasks.
WRI and the Bezos Earth Fund used DINOv3 to develop an algorithm to accurately count individual trees from drone and satellite imagery.
Brazil, the biotech company Biofy Technologies has developed a groundbreaking platform using Llama that reduces diagnostic time for antibiotic resistance from five days to less than…
Upwork, one of the world’s largest work marketplaces, is using Llama to power Uma, its mindful AI, to help freelancers land jobs faster and more confidently.
We're joining forces with Amazon Web Services to announce a new program that will provide resources and support to 30 promising startups in the U.S. that…