Facebook AI
Facebook Wants to Make Smart Robots to Explore Every Nook And Cranny Of Your Home
“Hey Alexa, turn on the kitchen light.” “Hey Alexa, play soothing music at volume three.” “Hey Alexa, tell me where to find my keys.” You can ask an Alexa or Google home assistant questions about facts, news, or the weather, and make commands for whatever you’ve synced them to (lights, alarms, TVs, etc.). But helping …
FastMRI Breakthrough Shows AI-accelerated MRIs Interchangeable With Traditional MRIs
Magnetic resonance imaging (MRI) scanners, the machines that doctors use to image the body’s soft tissue and organs, have been crucial tools for medical diagnoses for almost half a century. But one of their major shortcomings is the time it takes to carry out a scan. Clinicians can spend up to an hour gathering sufficient data for a …
PyTorch Drives Next-gen Intelligent Farming Machines
PyTorch is helping to power a new generation of AI-enhanced farming machines. For farmers, weeds pose a very real threat to the health of crops at a time when global population growth is raising food demand while also making resources such as land and water increasingly scarce. Seeking solutions to helping farmers produce more food with fewer …
A Facebook-scale Simulator To Detect Harmful Behaviors
For large-scale social networks, testing a proposed code update or new feature is a complex and challenging task. In person and also online, people act and interact with one another in ways that are sometimes difficult for traditional algorithms to model or replicate. People’s behavior evolves and adapts over time and is different from one …
Using AI To Help Health Experts Address The COVID-19 Pandemic
AI is an important tool to support public health experts around the world in their efforts to keep people safe and informed amid the coronavirus pandemic. Facebook AI is partnering with academic researchers and other experts on a range of initiatives related to COVID-19. We are sharing overviews of several of these now, and we …
Using Integrated ML To Deliver Low-latency Mobile VR Graphics
What it is: A new low-latency, power-efficient framework for running machine learning in the rendering pipeline for standalone VR devices that use mobile chipsets. This architecture makes it possible to use ML on these devices to significantly improve image quality and video rendering. We have created a sample application under this framework to reconstruct higher-resolution …
Powered By AI: Turning Any 2D Photo Into 3D Using Convolutional Neural Nets
3D Photos feature on Facebook launched in 2018 as a new, immersive format for sharing pictures with friends and family. The feature has relied on the dual-lens “portrait mode” capabilities available only in new, higher-end smartphones, however. So it hasn’t been available on typical mobile devices, which have only a single, rear-facing camera. To bring this …
HiPlot: High-dimensional Interactive Plots Made Easy
HiPlot is a lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data. It uses parallel plots and other graphical ways to represent information more clearly, and it can be run quickly from a Jupyter notebook with no setup required. HiPlot enables machine learning (ML) researchers to more easily evaluate …
CCMatrix: A Billion-scale Bitext Data Set For Training Translation Models
CCMatrix is the largest data set of high-quality, web-based bitexts for training translation models. With more than 4.5 billion parallel sentences in 576 language pairs pulled from snapshots of the CommonCrawl public data set, CCMatrix is more than 50 times larger than the WikiMatrix corpus that we shared last year. Gathering a data set of this size …