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 Facebook at ICCV 2017

Computer vision experts from around the world will gather in Venice this week at the International Conference on Computer Vision […] Facebook at ICCV 2017 by Kelly Berschauer


 Open-sourcing RacerD: Fast static race detection at scale

Open-sourcing RacerD: Fast static race detection at scale by Kelly Berschauer


 Generalizing from Simulation

Our latest robotics techniques allow robot controllers, trained entirely in simulation and deployed on physical robots, to react to unplanned changes in the environment as they solve simple tasks. That is, we’ve used these techniques to build closed-loop systems rather than open-loop ones as …


 Announcing the Winners of the Facebook ParlAI Research Awards

Building dialogue systems and intelligent chatbots are very topical research challenges and Facebook is trying to accelerate these endeavors — […] Announcing the Winners of the Facebook ParlAI Research Awards by Kelly Berschauer


 AlphaGo Zero: Learning from scratch

AlphaGo Zero: Learning from scratch by DeepMind


 Planet: Understanding the Amazon from Space, 1st Place Winner’s Interview

In our recent Planet: Understanding the Amazon from Space competition, Planet challenged the Kaggle community to label satellite images from the Amazon basin, in order to better track and understand causes of deforestation. The competition contained over 40,000 training images, each of which could …


 Planet: Understanding the Amazon from Space, 1st Place Winner’s Interview

In our recent Planet: Understanding the Amazon from Space competition, Planet challenged the Kaggle community to label satellite images from the Amazon basin, in order to better track and understand causes of deforestation. The competition contained over 40,000 training images, each of which could …


 Planet: Understanding the Amazon from Space, 1st Place Winner’s Interview

In our recent Planet: Understanding the Amazon from Space competition, Planet challenged the Kaggle community to label satellite images from the Amazon basin, in order to better track and understand causes of deforestation. The competition contained over 40,000 training images, each of which could …


 Planet: Understanding the Amazon from Space, 1st Place Winner’s Interview

In our recent Planet: Understanding the Amazon from Space competition, Planet challenged the Kaggle community to label satellite images from the Amazon basin, in order to better track and understand causes of deforestation. The competition contained over 40,000 training images, each of which could …


 Using artificial intelligence to improve early breast cancer detection

Model developed at MIT’s Computer Science and Artificial Intelligence Laboratory could reduce false positives and unnecessary surgeries. Using artificial intelligence to improve early breast cancer detection by Adam Conner-Simons | CSAIL


 Teleoperating robots with virtual reality

A virtual reality system from the Computer Science and Artificial Intelligence Laboratory could make it easier for factory workers to telecommute. Teleoperating robots with virtual reality by Rachel Gordon | CSAIL


 Inventing the future

Inventing the future by Kelly Berschauer


 Meta-Learning for Wrestling

View CodeRead Paper We show that for the task of simulated robot wrestling, a meta-learning agent can learn to quickly defeat a stronger non-meta-learning agent, and also show that the meta-learning agent can adapt to physical malfunction. A simulated robot ant (red) uses its meta-learning policy …


 Competitive Self-Play

We’ve found that self-play allows simulated AIs to discover physical skills like tackling, ducking, faking, kicking, catching, and diving for the ball, without explicitly designing an environment with these skills in mind. Self-play ensures that the environment is always the right difficulty …


 Regina Barzilay wins MacArthur “genius grant”

MIT computer scientist who studies natural language processing and machine learning wins $625,000 prize. Regina Barzilay wins MacArthur “genius grant” by Adam Conner-Simons | CSAIL


 ONNX AI Format Adds Partners

Today, following the introduction of the Open Neural Network Exchange (ONNX) format on September 7, AMD, ARM, Huawei, IBM, Intel, […] ONNX AI Format Adds Partners by Kelly Berschauer


 An algorithm for your blind spot

Using smartphone cameras, system for seeing around corners could help with self-driving cars and search-and-rescue. An algorithm for your blind spot by Adam Conner-Simons | CSAIL


 2017 Networking and Systems Faculty Summit at the Facebook Fort Worth Data Center

On Oct 5-6, 2017, Facebook welcomed some of the world’s top systems and networking university faculty to our third Networking […] 2017 Networking and Systems Faculty Summit at the Facebook Fort Worth Data Center by Kelly Berschauer


 Strengthening our commitment to Canadian research

Strengthening our commitment to Canadian research by DeepMind


 Data Science 101: Sentiment Analysis in R Tutorial

 

Welcome back to Data Science 101! Do you have text data? Do you want to figure out whether the opinions expressed in it are positive or negative? Then you’ve come to the right place! Today, we’re going to get you up to speed on sentiment analysis. By the end of this tutorial you will: U…


 WaveNet launches in the Google Assistant

WaveNet launches in the Google Assistant by DeepMind


 A conversation with Dr. Joëlle Pineau, head of new FAIR lab in Montreal

With the opening of its newest AI research lab in Montreal, Facebook is tapping into Montreal’s thriving AI ecosystem. The […] A conversation with Dr. Joëlle Pineau, head of new FAIR lab in Montreal by Kelly Berschauer


 Why we launched DeepMind Ethics & Society

Why we launched DeepMind Ethics & Society by DeepMind


 Why we launched DeepMind Ethics & Society

Why we launched DeepMind Ethics & Society by DeepMind


 Why we launched DeepMind Ethics & Society

Why we launched DeepMind Ethics & Society by DeepMind