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Facebook Artificial Intelligence Research (FAIR) seeks to understand and develop systems with human-level intelligence by advancing the longer-term academic problems surrounding AI. Our research covers theory, algorithms, applications, software infrastructure, and hardware infrastructure across deep learning, computer vision, natural language processing, speech, and reasoning.

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Catching Bugs Before They Land: JiTTesting’s Human-on-the-Loop Approach at Full Scale

AI Research OCT 27, 2026

PrivacyLib: Privacy Controls at the Data Access Boundary

AI Research OCT 19, 2026

The Thin Orchestrator: How We Made Our AI Agents More Reliable by Giving the Router Less to Do

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AI Research SEP 2, 2026

An Organizational Second Brain: Building an AI That Learns From Experts

AI Research AUG 3, 2026

GEM Training: How Meta Doubled the Efficiency of Its LLM-Scale Ads Foundation Model

AI Research JUL 15, 2026

Exploring Hierarchical Interest Representation For Meta Ads Deep Funnel Optimization

AI Research JUN 30, 2026

10 Years of Meta’s Commitment to Python

AI Research FEB 24, 2026

RCCLX: Innovating GPU Communications on AMD Platforms

AI Research OCT 17, 2025

Scaling LLM Inference: Innovations in Tensor Parallelism, Context Parallelism, and Expert Parallelism

AI Research SEP 30, 2025

LLMs Are the Key to Mutation Testing and Better Compliance

AI Research SEP 29, 2025

Meta 3D AssetGen: Generating 3D Worlds With AI

AI Research SEP 29, 2025

Meta’s Infrastructure Evolution and the Advent of AI

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