Recently, Meta researchers working with @MLCommons + industry partners, launched DataPerf — the first platform for building data & data-centric AI algorithm leaderboards. More on this new work to help to push the field forward https://
bit.ly/3mvZLAY
@aiatmeta
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Meta Launches DataPerf Platform for Data-Centric AI Leaderboards
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Meta AI Introduces Segment Anything Model for Image Segmentation
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The Segment Anything Model (SAM) by Meta AI is a step toward the first foundation model for image segmentation. SAM is capable of one-click segmentation of any object from photos or videos + zero-shot transfer to other segmentation tasks. Try the demo https://
bit.ly/3MlCGeZ -
Meta Announces Major Advances in Embodied AI Agents
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Last week We announced two major advancements in our work toward general-purpose embodied AI agents. We're excited for how this work will help build toward a future where AI agents can assist humans in both the virtual & physical world. More details https://
bit.ly/40pJU5M -
Meta Releases SA-1B Dataset: 400x Larger Segmentation Dataset
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In addition to the new model, we’re also releasing the SA-1B dataset, which is 400x larger than any existing segmentation dataset — we hope this work will help accelerate computer vision research and enable entirely new applications.
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Meta Advances Embodied AI with VC-1 and ASC Technologies
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Today, we're sharing two major advancements in our work toward general-purpose embodied AI agents: VC-1 & ASC. We're excited for how this work will help build toward a future where AI agents can assist humans in both the virtual & physical world. Details
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Meta Launches DataPerf Platform for Data-Centric AI Leaderboards
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Today, Meta researchers together with @MLCommons working group, are launching DataPerf, the first platform for building data & data-centric AI algorithm leaderboards. We're excited for how DataPerf will help to push the data-centric AI field forward
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Meta AI Newsletter Coming Soon with Latest Research Updates
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The next issue of the Meta AI newsletter is coming soon! This edition includes updates on our latest research and a look at some of the systems in place to support AI at Meta's scale. Subscribe
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MuAViC Enables Audio-Visual Learning for Superior Speech Translation
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MuAViC makes it possible to use audio-visual learning for highly accurate speech translation. Using MuAViC to train our AV-HuBERT model helped us achieve results outperforming other leading translation models in noisy, challenging settings.
— AI at Meta (@AIatMeta) 27 mars 2023
More ➡️ https://t.co/FUnlg2dUOq pic.twitter.com/X6sGzU8FCWMuAViC makes it possible to use audio-visual learning for highly accurate speech translation. Using MuAViC to train our AV-HuBERT model helped us achieve results outperforming other leading translation models in noisy, challenging settings. More https://
bit.ly/3ZNg76h -
Meta’s Efficient AI Development Ecosystems for Production
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AI development ecosystems are increasingly complex and challenging to maintain. Companies like Meta need to develop highly efficient systems to build, serve and improve AI models for production uses. Here's how we make this work effective + efficient
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Meta AI Researchers Compare Language Models to Human Brain Function
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Meta AI researchers show how current language models differ from the human brain & highlight the role of long-range & hierarchical predictions.
— AI at Meta (@AIatMeta) 23 mars 2023
Read the open accessed article in Nature ➡️ https://t.co/Kf3CCRiqug pic.twitter.com/aRicxEMx3jMeta AI researchers show how current language models differ from the human brain & highlight the role of long-range & hierarchical predictions. Read the open accessed article in Nature https://
go.nature.com/3ZfH7eK