#CICERObyMetaAI generates strategic, free-form dialogue by: Predicting the moves other players are likely to make. Creating a plan based on those predictions. Generating messages. Filtering the final messages for clarity and value. Read more on our blog
@aiatmeta
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E3B: New Method for Exploring Complex Variable Environments
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E3B is a method for exploring complex environments which vary across episodes. This work set a new SOTA for MiniHack & reward-free exploration on Habitat in October.
— AI at Meta (@AIatMeta) 7 février 2023
Read the paper ➡️ https://t.co/5oxIf1kDAy
Get the code ➡️ https://t.co/omz9GLkkha pic.twitter.com/elUIs4FIofE3B is a method for exploring complex environments which vary across episodes. This work set a new SOTA for MiniHack & reward-free exploration on Habitat in October. Read the paper https://
bit.ly/3JUCceJ
Get the code https://
bit.ly/3YulsPk -
Universal Speech Translator Enables Hokkien Speech-to-Speech Translation
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Our Universal Speech Translator (UST) is the first AI-powered translation system providing speech-to-speech translation for Hokkien, one of ~3k primarily spoken languages with no standard writing system & very few human translators.
— AI at Meta (@AIatMeta) 6 février 2023
More on this work ➡️ https://t.co/NwH7zditOD pic.twitter.com/XTAqpFblF1Our Universal Speech Translator (UST) is the first AI-powered translation system providing speech-to-speech translation for Hokkien, one of ~3k primarily spoken languages with no standard writing system & very few human translators. More on this work https://
bit.ly/3Rw3SIl -
GenBench: Meta AI’s New Generalization Testing Framework for NLP
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GenBench is a new effort led by Meta AI researchers, aims to make state-of-the-art generalization testing the new status quo for NLP work. Learn more about the project and read the paper on the new generalization taxonomy http://
genbench.org -
MultiRay: Meta’s Efficient Platform for Large-Scale AI Models
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MultiRay is Meta’s platform for efficiently running large-scale, state-of-the-art AI models. By converting input to an embedding that’s cached & shared between users, MultiRay greatly reduces complexity & energy use.
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Blind AI Agents Learn Navigation Through Emergent Neural Representations
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We train blind AI agents to navigate — i.e. no sensory input other than ego-motion and found the emergence of wall-following, collision-detection neurons, and map-like representations in their memories. This provides new insights into the success of 'map-free' navigation agents.
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Blind Navigation Agents Learn to Create Mental Maps
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📣 New paper: Emergence of Maps in the Memories of Blind Navigation Agents
— AI at Meta (@AIatMeta) 1 février 2023
Humans have the ability to navigate poorly lit spaces by relying on touch and memory. Our research shows that blind AI agents can learn to do the same.
Read the paper ➡️ https://t.co/XY5kNU5FwR pic.twitter.com/IbfumhR4ZUNew paper: Emergence of Maps in the Memories of Blind Navigation Agents Humans have the ability to navigate poorly lit spaces by relying on touch and memory. Our research shows that blind AI agents can learn to do the same. Read the paper https://
bit.ly/40evpCh -
Data2vec 2.0: 16x Faster Self-Supervised Learning Across Modalities
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Data2vec 2.0 can train self-supervised speech, vision & text models up to 16x faster than the most popular existing algorithm for images — achieving the same accuracy. Read more & get the open source code https://
bit.ly/3H9mPf7 -
E3B: New SOTA Method for Complex Environment Exploration
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E3B is a method for exploring complex environments which vary across episodes. This work set a new SOTA for MiniHack & reward-free exploration on Habitat in October.
— AI at Meta (@AIatMeta) 23 janvier 2023
Read the paper ➡️ https://t.co/hLIEDsoTwl
See the code ➡️ https://t.co/vVR3Kw6AQL pic.twitter.com/KPREx5srALE3B is a method for exploring complex environments which vary across episodes. This work set a new SOTA for MiniHack & reward-free exploration on Habitat in October.
Read the paper https://
arxiv.org/abs/2210.05805
See the code https://
github.com/facebookresear
ch/e3b
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Meta AI Residency Program Applications Open Until January 24th
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Do you know someone who's interested in… Pursuing a PhD? Publishing research? Getting hands-on experience with AI research? Applications for the one-year Meta AI Residency close on January 24th! Learn more and apply here