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Facebook AI


What it is: Flashlight is a new open source machine learning (ML) library, written entirely in C++, that was built by FAIR to power groundbreaking research by enabling teams to rapidly and easily modify deep and ML frameworks to better fit their needs. Deep and ML frameworks are good at what they do — but …

Finding new ways to repurpose or combine existing drugs has proved to be a powerful tool to treat complex diseases. Drugs used to treat one type of cancer, for instance, have effectively strengthened treatments for other cancer cells. Complex malignant tumors often require a combination of drugs, or “drug cocktails,” to formulate a concerted attack …

AI plays an important role across Facebook’s apps — from enabling stunning AR effects, to helping keep bad content off our platforms, to directly improving the lives of people in our communities through our COVID-19 Community Help hub. As AI-powered services become ubiquitous in everyday life, it’s becoming even more important to understand how systems …

What the research is: Across the thousands of different languages spoken by humans, the way we use words to represent different colors is remarkably consistent. For example, many languages have two distinct words for red and orange, but no language has many distinct commonly used words for various tonalities of orange. (Of course, if you …

Facebook AI is excited to launch the third Habitat Challenge, an open research initiative that invites AI experts around the world to teach machines to navigate real-world environments. The Habitat Challenge 2021, implemented in collaboration with Georgia Tech, asks participants to train embodied agents to perform PointGoal navigation (“Go 5 meters north, 3 meters west”) …

The numbers Facebook released today in our latest Community Standards Enforcement Report are evidence of the many ways technology is delivering the kind of progress our world demands. In the final three months of 2020, we did better than ever before to proactively detect hate speech and bullying and harassment content — 97 percent of …

What it is: Facebook AI is releasing Multilingual LibriSpeech (MLS), a large-scale, open source data set designed to help advance research in automatic speech recognition (ASR). MLS is designed to help the speech research community’s work in languages beyond just English so people around the world can benefit from improvements in a wide range of …

Researchers, healthcare providers, and many others around the world are still grappling with COVID-19. Even a year into the pandemic, it remains challenging for doctors to predict how a patient’s condition may change over the course of the disease. Will the patient improve in the next few days or worsen to the point where more …

  Most successes in AI come from developing specific responses to specific problems. We can create an AI that outperforms humans at chess, for instance. Or, as we demonstrated with our Pluribus bot in 2019, one that defeats World Series of Poker champions in Texas Hold’em. What we really want, however, is an AI system …

A central focus of Facebook’s AI efforts is deploying cutting-edge machine learning technology to protect people from harmful content. With billions of people using our platforms, we rely on AI to scale our content review work and automate decisions when possible. Our goal is to spot hate speech, misinformation, and other forms of policy-violating content …