We've made the training code and model checkpoints available on GitHub and you can access them here https://
bit.ly/3NpVlWY
@aiatmeta
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Training Code and Model Checkpoints Released on GitHub
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AI-Powered Discovery Features for Facebook and Instagram
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AI-driven recommendations help people dive deeper into their interests and discover new things while also supporting creators in finding new audiences for their work. Today we're sharing details on how we’ve built these AI-powered discovery features for Facebook & Instagram
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Meta Shares 22 System Cards for AI Transparency and Customization
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As part of Meta’s commitment to transparency, today we are sharing 22 system cards that contain information and actionable insights everyone can use to understand and customize their specific AI-powered experiences in our products. More details https://
bit.ly/3NRXoTX -
Meta AI Publishes New Robotics Research in Science Robotics
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Newly published research in Science Robotics from Meta AI today!
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Open Catalyst Challenge Addresses Energy and Climate Crisis
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The Open Catalyst Challenge invites participants to help address the pressing challenges faced by the world due to energy scarcity and climate change. More details on the 2023 challenge in the full thread from @OpenCatalyst
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Meta AI Newsletter: Latest Research, Infrastructure and CVPR 2023
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The next issue of the Meta AI newsletter is heading to your inbox soon! This edition recaps some of our latest research, new AI infra innovations and details from CVPR 2023. Subscribe
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HomeRobot Challenge: Download Simulation and Implement Your Solution
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Try out HomeRobot, download the simulation, and implement your best solution. More details on the challenge in the 🧵 https://t.co/a28xZpt4W0
— AI at Meta (@AIatMeta) 21 juin 2023Try out HomeRobot, download the simulation, and implement your best solution. More details on the challenge in the
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Meta’s MTIA v1 AI Inference Accelerator Architecture Overview
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A closer look at the architecture of Meta's first-generation AI inference accelerator. MTIA v1 is a custom-designed ASIC built with next-generation recommendation model requirements in mind.
— AI at Meta (@AIatMeta) 21 juin 2023
Read more ➡️ https://t.co/ho0QqWdiw9
We'll be sharing more at #ISCA2023. pic.twitter.com/COxAAgV1tSA closer look at the architecture of Meta's first-generation AI inference accelerator. MTIA v1 is a custom-designed ASIC built with next-generation recommendation model requirements in mind. Read more https://
bit.ly/46hV3sU We'll be sharing more at #ISCA2023. -
HierVL: Hierarchical Video-Language Embedding for Temporal Associations
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HierVL is a novel hierarchical video-language embedding that simultaneously accounts for both long-term and short-term associations. Paper https://
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GeneCIS: Benchmark for Model Adaptation to Similarity Conditions
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GeneCIS: we propose a benchmark, which measures models’ ability to adapt to a range of similarity conditions. Paper https://
bit.ly/3qQCiwq 6/7