Tag: Facebook AI Research

Facebook open-sources AI Habitat to help robots navigate realistic environments

Facebook AI Research is today making available AI Habitat, a simulator that can train AI agents that embody things like a home robot to operate in environments meant to mimic typical real-world settings like an apartment or office. For a home robot to understand what to do when you say “Can you check if laptop […]

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Facebook AI researchers’ MelNet AI sounds like Bill Gates

A pair of Facebook AI researchers used TED Talks and other data to make AI that closely mimics music and the voices of famous people, including Bill Gates. MelNet is a generative model that uses spectrogram visuals of audio for training data instead of waveforms. Doing so allows for the capture of multiple seconds of […]

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Facebook AI study: Major object recognition systems favor people with more money

Computer vision for recognizing household objects works better for people in high-income households, according to analysis of 6 major object detection systems shared today by Facebook AI researchers. The study examined object classification systems made by Facebook, Google Cloud, Microsoft Azure, AWS, IBM Watson, and Clarifai. Results show the 6 systems work between 10-20% better […]

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Facebook’s AI learns how to get around an office by watching videos

Humans undertake high-level planning every day, but it’s not so easy for robots. Fortunately, a growing body of work suggests that hierarchal abstractions (namely visuomotor subroutines) can boost sample efficiency in reinforcement learning, an AI training technique that employs rewards to drive agents toward goals. Traditionally, these hierarchies must be handcoded or acquired via end-to-end […]

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