January 31, 2020
We are releasing HiPlot, a lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data.
January 28, 2020
In a collaboration with universities in France and Taiwan, Facebook AI is releasing Polygames, a new open source framework that enables researchers to train AI systems through self-play in a wide range of strategy games.
January 23, 2020
Beat the Bot, which is a game exclusively for researchers on Messenger, helps provide conversational AI researchers with high-signal data. We plan to open-source our dataset to help push dialogue research forward.
January 21, 2020
Facebook AI has effectively solved the task of point-goal navigation by AI agents in simulated environments, using only a camera, GPS, and compass data. Agents achieve nearly 100% success in a variety of virtual settings, such as houses and offices.
We’re releasing a major update to Facebook AI’s open source AI Habitat platform for training embodied AI agents in photorealistic 3D virtual environments. AI Habitat now supports interactive objects, realistic physics modeling, and more.
January 14, 2020
Facebook AI has developed the first neural network that uses symbolic reasoning to solve advanced mathematics problems.
January 13, 2020
We have open-sourced wav2letter@anywhere, an inference framework for online speech recognition that delivers state-of-the-art performance.
January 08, 2020
We’re looking back at some of Facebook AI's most notable blog posts from 2019. See the highlights and learn more about our work.
December 20, 2019
Facebook AI has released Libri-light, the largest open source data set for speech recognition to date. This new benchmark helps researchers pretrain acoustic models to understand speech, with few to no labeled examples.
December 19, 2019
VizSeq is a Python toolkit that provides a scalable solution for visual analysis on text generation tasks.
December 12, 2019
As part of the fastMRI research project to use AI to speed up MRI scans, NYU Langone Health is making a new data set of de-identified brain MRIs available to researchers and Facebook AI is sharing additional tools and resources.
December 11, 2019
We’ve launched the Deepfake Detection Challenge, an open, collaborative initiative to accelerate development of new technologies for detecting deepfakes and manipulated media.
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