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Publication

November 20, 2024

Conversational AI

Computer Vision

Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Javier Rando, Jianfeng Chi, Eric Smith, Hongyuan Zhan, Kartikeya Upasani, Kate Plawiak, Mahesh Pasupuleti, Ujjwal Karn, Yiming Zhang, Zacharie Delpierre Coudert

November 20, 2024

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Publication

November 20, 2024

NLP

Core Machine Learning

Llama Guard 3-1B-INT4: Compact and Efficient Safeguard for Human-AI Conversations

Kate Plawiak, Bilge Soran, Eric Smith, Hongyuan Zhan, Igor Fedorov, Jianfeng Chi, Kimish Patel, Lemeng Wu, Mahesh Pasupuleti, Naveen Suda, Rachad Alao, Raghuraman Krishnamoorthi, Tarek Elgamal, Tijmen Blankevoort, Vikas Chandra, Yangyang Shi, Yuriy Hulovatyy, Zacharie Delpierre Coudert, Zechun Liu

November 20, 2024

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Publication

November 19, 2024

NLP

Adaptive Decoding via Latent Preference Optimization

Shehzaad Dhuliawala, Jack Lanchantin, Asli Celikyilmaz, Ilia Kulikov, Jason Weston, Ping Yu, Sainbayar Sukhbaatar

November 19, 2024

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Publication

November 14, 2024

NLP

Core Machine Learning

A Survey on Deep Learning for Theorem Proving

Zhaoyu Li, Jialiang Sun, Logan Murphy, Qidong Su, Zenan Li, Xian Zhang, Xujie Si, Kaiyu Yang

November 14, 2024

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Publication

November 10, 2024

Computer Vision

HOI-Swap: Swapping Objects in Videos with Hand-Object Interaction Awareness

Changan Chen, Sherry Xue, Kristen Grauman, Romy Luo

November 10, 2024

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Publication

November 06, 2024

Theory

Core Machine Learning

The Road Less Scheduled

Harsh Mehta, Konstantin Mishchenko, Ahmed Khaled, Ashok Cutkosky, Aaron Defazio, Alice Yang

November 06, 2024

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Publication

October 31, 2024

Human & Machine Intelligence

Robotics

Digitizing Touch with an Artificial Multimodal Fingertip

Nolan Black, Romeo Mercado, Norb Tydingco, Gregg Kammerer, Ricardo Chavira, Eric Sanchez, Yitian Ding, Roberto Calandra, Mike Lambeta, Alexander Sohn, Ali Sengül, Byron Taylor, Dave Stroud, Haozhi Qi, Jake Khatha, Jitendra Malik, Kevin Sawyer, Kurt Jenkins, Kyle Most, Neal Stein, Thomas Craven-Bartle, Tingfan Wu, Victoria Rose Most

October 31, 2024

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Publication

October 31, 2024

Robotics

PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks

Gunjan Chhablani, Roozbeh Mottaghi, Akshara Rai, Alexander William Clegg, Daniel Tran, Eric Undersander, Ishita Prasad, Jacob Krantz, Jimmy Yang, Joanne Truong, John Turner, Matthew Chang, Michal Hlavac, Mikael Dallaire Cote, Priyam Parashar, Ram Ramrakhya, Ruta Desai, Siddharth Patki, Vladimir Karashchuk, Xavi Puig

October 31, 2024

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Publication

October 31, 2024

Robotics

Sparsh: Self-supervised touch representations for vision-based tactile sensing

Patrick Lancaster, Michael Kaess, Byron Boots, Mustafa Mukadam, Akash Sharma, Carolina Higuera, Chaithanya Bodduluri, Mike Lambeta, Mrinal Kalakrishnan, Taosha Fan, Tingfan Wu

October 31, 2024

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Publication

October 16, 2024

Speech & Audio

Computer Vision

Movie Gen: A Cast of Media Foundation Models

Movie Gen Team

October 16, 2024

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Publication

October 04, 2024

Human & Machine Intelligence

Conversational AI

Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue Agents

Shyam Gollakota, Hongyu Gong, Bandhav Veluri, Benjamin Peloquin, Bokai Yu

October 04, 2024

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Publication

October 03, 2024

NLP

BLASER 2.0: a metric for evaluation and quality estimation of massively multilingual speech and text translation

David Dale, Marta R. Costa-jussa

October 03, 2024

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Person

Juan Pino

Menlo Park, United States

Juan is a Research Scientist at Facebook AI Research in Menlo Park. He studied machine translation at the University of Cambridge. Juan is currently int...

Research Area:

Speech & Audio

NLP

Person

Junteng Jia

Menlo Park, United States

Junteng Jia is a research scientist in the AI Speech team at Meta. His main research focuses is Speech Recognition. He got his Ph.D. in computer science...

Research Area:

Speech & Audio

NLP

Person

Justine T Kao

Menlo Park, United States

Justine Kao is a Data Science Manager at FAIR based in the SF Bay Area. She is broadly interested in developing more robust and systematic ways to evalu...

Research Area:

Computer Vision

Core Machine Learning

Person

Kaiyu Yang

New York City, United States

Kaiyu Yang is a research scientist in Meta Fundamental AI Research (FAIR) team. His research aims to build AI that can understand and reason about mathe...

Research Area:

NLP

Core Machine Learning

Person

Karthik Abinav Sankararaman

Menlo Park, United States

Karthik Abinav Sankararaman is currently a research scientist at Facebook. Previously, he finished his PhD at the Department of Computer Science at Univ...

Research Area:

Theory

Reinforcement Learni9ng

Person

Karthik Prasad

Menlo Park, United States

Karthik is an engineer at Facebook AI, working on Privacy Preserving AI and efficient ML models research. Prior to this, he worked on NLP for Search at ...

Research Area:

Core Machine Learning

Systems Research

Person

Kartikeya Upasani

New York City, United States

Kartikeya is a Software Engineer at Meta AI, currently working on safety for large language models. In the past, he has worked on projects such as AI As...

Research Area:

Conversational AI

NLP

Person

Kate Plawiak

San Francisco, United States

Kate is a Software Engineer at Meta GenAI focusing on Llama model and system safety. She holds a Master's degree in Computer Science from Georgia Tech.

Research Area:

NLP

Core Machine Learning

Person

Kavya Srinet

Menlo Park, United States

Kavya is a Research Engineer at Facebook AI Research, where she works on Learning from Interaction with Humans using Minecraft. Prior to joining FAIR, K...

Person

Kevin J Liang

Menlo Park, United States

Kevin is a Research Scientist at Facebook AI Applied Research (FAIR). His research interests are primarily in deep learning, particularly computer visio...

Research Area:

Computer Vision

Person

Khushhall Chandra Mahajan

Vancouver, Canada

Khushhall Chandra Mahajan is a Senior Machine Learning Engineer and Researcher working in recommendation systems. Presently, he is an integral part of t...

Person

Koustuv Sinha

New York, United States

Koustuv is a Research Scientist at Fundamental AI Research (FAIR) organization. He received his PhD from McGill University (School of Computer Science) ...

Research Area:

NLP

Computer Vision

Blog

October 06, 2023

Research

Stable Signature: A new method for watermarking images created by open source generative AI

Invisible watermarking incorporates information into digital content. The watermark is invisible to the naked eye but can be detected by algorithms—even if people edit the images.

October 06, 2023

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Blog

October 20, 2023

Research

Embodied AI: Toward effective collaboration between humans and socially intelligent robots

Today, we’re announcing three major advancements toward the development of social embodied AI agents that can cooperate with and assist humans in their daily lives.

October 20, 2023

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Blog

November 15, 2023

5 Steps to Getting Started with Llama 2

This blog is a part of our 5 Steps to Getting Started series, where we go over 5 steps you need to take to get started to use an open source project by Meta.

November 15, 2023

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Blog

November 16, 2023

Research

Emu Video and Emu Edit: Our latest generative AI research milestones

Today, we’re announcing new research into controlled image editing based solely on text instructions and a method for text-to-video generation based on diffusion models.

November 16, 2023

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Blog

November 30, 2023

Research

NLP

Audiobox: Generating audio from voice and natural language prompts

Audiobox is Meta’s new foundation research model for audio generation.

November 30, 2023

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Blog

November 30, 2023

Research

ML Applications

Introducing Ego-Exo4D: A foundational dataset for research on video learning and multimodal perception

With this release, we aim to provide the tools the broader research community needs to explore ego-exo video, multimodal activity recognition, and beyond.

November 30, 2023

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Blog

November 30, 2023

Research

FAIR progress and learnings across socially responsible AI research

Today, we’re excited to share more about the approach we’re taking in Meta’s Fundamental Artificial Intelligence Research (FAIR) team to build socially responsible AI.

November 30, 2023

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Blog

November 30, 2023

Research

Ten years of FAIR: Advancing the state-of-the-art through open research

Today we’re celebrating the 10-year anniversary of Meta’s Fundamental AI Research (FAIR) team. During the past 10 years, the field of AI has undergone a profound transformation, and through it all, FAIR has been a source of many AI research breakthroughs, as well as a beacon for doing research in an open and responsible way.

November 30, 2023

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Blog

December 04, 2023

Research

Open Source

Introducing the AI Alliance

AI Alliance Launches as an International Community of Leading Technology Developers, Researchers, and Adopters Collaborating Together to Advance Open, Safe, Responsible AI

December 04, 2023

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Blog

December 07, 2023

Developer Tools

Research

Announcing Purple Llama: Towards open trust and safety in the new world of generative AI

Meta AI announces Purple Llama, a project for open trust and safety in generative AI, with tools for cybersecurity and input/output filtering.

December 07, 2023

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Blog

February 15, 2024

Research

V-JEPA: The next step toward advanced machine intelligence

We’re releasing the Video Joint Embedding Predictive Architecture (V-JEPA) model, a crucial step in advancing machine intelligence with a more grounded understanding of the world.