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Publication

May 06, 2026

Human & Machine Intelligence

NeuralBench: A Unifying Framework to Benchmark NeuroAI Models

Saarang Panchavati, Antoine Ratouchniak, Mingfang (Lucy) Zhang, Elisa Cascardi, Hubert Banville, Jarod Levy, Jean-Rémi King, Jérémy Rapin, Katelyn Begany, Marlene Careil, Simon Dahan, Stéphane d'Ascoli, Teon Brooks, Yohann Benchetrit

May 06, 2026

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Publication

May 04, 2026

NLP

Compute Optimal Tokenization

Sachin Mehta, Alisa Liu, Margaret Li, Artidoro Pagnoni, Gargi Ghosh, Luke Zettlemoyer, Mike Lewis, Srini Iyer, Tomasz Limisiewicz

May 04, 2026

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Publication

April 16, 2026

AIRA₂: Overcoming Bottlenecks in AI Research Agents

Nicola Cancedda, Pontus Stenetorp, Alexis Audran-Reiss, Alisia Lupidi, Anton Protopopov, Bassel Al Omari, Carole-Jean Wu, Derek Dunfield, Despoina Magka, Edan Toledo, Hela Momand, Ishita Mediratta, Jakob Foerster, Jean-Christophe Gagnon-Audet, Karen Hambardzumyan, Kelvin Niu, Martin Josifoski, Michael Kuchnik, Michael Shvartsman, Nicolas Baldwin, Parth Pathak, Rishi Hazra, Tatiana Shavrina, Thomas Simon Foster, Yoram Bachrach

April 16, 2026

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Publication

April 14, 2026

Computer Vision

TransText: Transparency Aware Image-to-Video Typography Animation

Zijian Zhou, Bohao Tang, Pengfei Liu, Fei Zhang, Frost Xu, Hang Li (BizAI), Semih Gunel, Sen He, Soubhik Sanyal, Tao Xiang, Viktar Atliha, Zhe Wang

April 14, 2026

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Publication

April 09, 2026

Human & Machine Intelligence

Computer Vision

Think in Strokes, Not Pixels: Process-Driven Image Generation via Interleaved Reasoning

Lei Zhang, Junjiao Tian, Kunpeng Li, Jialiang Wang, Weifeng Chen, Yuxiao Bao, Julian McAuley, Manling Li, Zecheng He, Felix Xu, Markos Georgopoulos, Zhipeng Fan

April 09, 2026

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Publication

March 26, 2026

Human & Machine Intelligence

A foundation model of vision, audition, and language for in-silico neuroscience

Hubert Jacob Banville, Jean Remi King, Josephine Raugel, Jérémy Rapin, Katelyn Begany, Stéphane d'Ascoli, Teon Brooks, Yohann Benchetrit

March 26, 2026

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Publication

March 24, 2026

NLP

HyperAgents

Jenny Zhang, Bingchen Zhao, Jakob Foerster, Sam Devlin, Tatiana Shavrina, Winnie Yang

March 24, 2026

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Publication

March 17, 2026

NLP

Omnilingual MT: Machine Translation for 1,600 Languages

Omnilingual MT Team, Niyati Bafna, Ioannis Tsiamas, Mark Duppenthaler, Albert Ventayol-Boada, Alexandre Mourachko, Andrea Caciolai, Arina Turkatenko, Artyom Kozhevnikov, Belen Alastruey, Charles-Eric Saint-James, Chierh CHENG, Christophe Ropers, Cynthia Gao, David Dale, Edan Toledo, Eduardo Sánchez, Gabriel Mejia Gonzalez, Holger Schwenk, Jean Maillard, Joe Chuang, João Maria Janeiro, Kevin Heffernan, Marta R. Costa-jussa, Mary Williamson, Nate Ekberg, Paul-Ambroise Duquenne, Pere Lluís Huguet Cabot, Rashel Moritz, Shireen Yates, Surya Parimi

March 17, 2026

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Publication

March 17, 2026

Speech & Audio

Omnilingual SONAR: Cross-Lingual and Cross-Modal Sentence Embeddings Bridging Massively Multilingual Text and Speech

Omnilingual SONAR Team, Ioannis Tsiamas, Yen Meng, Vivek Iyer, Guillem Ramirez, Jaehyeong Jo, Alexandre Mourachko, Yu-An Chung, Artyom Kozhevnikov, Belen Alastruey, Christophe Ropers, David Dale, Holger Schwenk, João Maria Janeiro, Kevin Heffernan, Loic Barrault, Marta R. Costa-jussa, Paul-Ambroise Duquenne, Pere Lluís Huguet Cabot

March 17, 2026

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Publication

February 27, 2026

Human & Machine Intelligence

Unified Vision–Language Modeling via Concept Space Alignment

Yifu Qiu, Holger Schwenk, Paul-Ambroise Duquenne

February 27, 2026

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Publication

February 26, 2026

Conversational AI

Learning Personalized Agents from Human Feedback

Kaiqu Liang, Xianjun Yang, Shaoliang Nie, Jaime Fernández Fisac, Shuyan Zhou, Julia Kruk, Lijuan Liu, Michael Zhang, Saghar Hosseini, Shengjie Bi, Shengyi Qian

February 26, 2026

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Publication

February 13, 2026

Responsible AI

FERRET: Framework for Expansion Reliant Red Teaming

Joanna Bitton, Maya Pavlova, Ninareh Mehrabi, Vítor Albiero

February 13, 2026

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Person

Aaron Defazio

New York City, United States

Aaron's research focuses on improving the practice of machine learning through the development of more reliable and theoretically sound methods such as ...

Research Area:

Theory

Core Machine Learning

Person

Abhimanyu Dubey

Menlo Park, United States

Abhimanyu is a Research Scientist at Facebook AI Research working on problems in machine learning. He received his Ph.D. in 2021 from the Massachusetts ...

Research Area:

Human & Machine Intelligence

Core Machine Learning

Person

Abhishek Das

Menlo Park, United States

Abhishek is a Research Scientist at Facebook AI Research (FAIR). His research focuses on deep learning and its applications in climate change, and in bu...

Research Area:

Robotics

Reinforcement Learni9ng

Person

Adam Polyak

Tel Aviv, Israel

Adam is a research engineer at Facebook AI Research (FAIR), focusing on deep learning, cross domain image generation, audio generation, and voice conver...

Research Area:

Computer Vision

NLP

Person

Adeel Cheema

New York City, United States

Adeel is a software engineer working on transparency & control within Meta’s Responsible AI pillar. He focuses on creating product experiences to expl...

Person

Adina Williams

New York City, United States

Adina is a Research Scientist at Facebook AI Research in NYC (started October 2018). Previously, she earned her PhD at New York University in the Depart...

Research Area:

Computer Vision

Core Machine Learning

Person

Adriana Romero Soriano

Montreal, Canada

Adriana is currently a research scientist at Facebook AI Research and an adjunct professor at McGill University. The goal of her research is to develop ...

Research Area:

Reinforcement Learni9ng

Computer Vision

Person

Akhil Mathur

London, United Kingdom

Akhil Mathur is a Research Scientist in the Llama Research team at Meta, working on enhancing the reasoning abilities of Llama models. Previously, as a ...

Person

Akshara Rai

Menlo Park, United States

Akshara is a Research Scientist at Facebook AI Research, working at the intersection of machine learning and control. Her research aims at teaching robo...

Research Area:

Robotics

Computer Vision

Person

Alborz Geramifard

Menlo Park, United States

Alborz Geramifard is a senior research manager at Meta AI supporting the Conversational AI. Prior to joining Meta, he led the conversational AI team at ...

Research Area:

Robotics

Reinforcement Learni9ng

Person

Alexander H. Miller

London, United Kingdom

Alexander has worked in multi-domain research engineering management, supporting research engineers in London, Tel Aviv, and New York. He is advanced in...

Research Area:

NLP

Reinforcement Learni9ng

Person

Amey Porobo Dharwadker

Menlo Park, United States

Amey Porobo Dharwadker works as a Machine Learning Engineering Manager, leading Facebook's Video Recommendations Ranking team. Renowned for his expertis...

Dataset

May 02, 2026

Reality Labs Research Conversations for Hearing Augmentation Technology (RL-R CHAT) Dataset | Meta AI Research

The RL-R Conversations for Hearing Augmentation Technology (RL-R CHAT) dataset is an egocentric, multi-modal dataset created for tasks related to improved hearing, such as estimating listening effort, identifying sound sources of interest, and speech enhancement.

May 02, 2026

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Blog

April 08, 2026

Scaling How We Build and Test Our Most Advanced AI

As we build more capable, personalized AI, reliability, security, and user protections are more important than ever.

April 08, 2026

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Blog

April 08, 2026

Introducing Muse Spark: Scaling Towards Personal Superintelligence

April 08, 2026

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Blog

March 26, 2026

Research

Introducing TRIBE v2: A Predictive Foundation Model Trained to Understand How the Human Brain Processes Complex Stimuli

March 26, 2026

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Blog

March 10, 2026

Open Source

Mapping the World's Forests with Greater Precision: Introducing Canopy Height Maps v2

In partnership with the World Resources Institute, today we’re announcing Canopy Height Maps v2 (CHMv2), an open source model, along with world-scale maps generated with the model.

March 10, 2026

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Blog

April 06, 2026

Computer Vision

How Alta Daily Uses Meta’s Segment Anything to Reimagine the Digital Closet

April 06, 2026

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Blog

March 27, 2026

Computer Vision

SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning

March 27, 2026

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Blog

March 11, 2026

Four MTIA Chips in Two Years: Scaling AI Experiences for Billions

Serving a wide range of AI models on a global scale, while maintaining the lowest possible costs, is one of the most demanding infrastructure challenges in the industry.

March 11, 2026

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Blog

December 18, 2025

Computer Vision

How DINO and SAM are Helping Modernize Essential Medical Triage Practices

By leveraging advanced AI models, teams at the University of Pennsylvania are aiming to bring cutting-edge automation to emergency response.

December 18, 2025

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Blog

February 09, 2026

Computer Vision

Open Source

Reducing Government Costs and Increasing Access to Greenspaces in the United Kingdom with DINO

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 greenspaces.

February 09, 2026

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Dataset

January 28, 2026

Multi-room Apartments Simulation (MRAS) Dataset | Meta AI Research

The Multi-Room Apartments Simulation (MRAS) dataset is a multi-modal dataset created for the task of estimating spatially-distributed acoustic parameters in complex scenes.