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Cosmos 3 models unify multiple data types for Physical AI

Researchers have introduced Cosmos 3, a new family of omnimodal world models capable of processing and generating diverse data types including language, images, video, audio, and actions. This unified architecture, built on a mixture-of-transformers, aims to serve as a general-purpose backbone for embodied agents in Physical AI. Evaluations show Cosmos 3 achieving state-of-the-art results across various tasks, and its code, checkpoints, and datasets are being released under an open-source license to foster further research. AI

IMPACT Establishes a new SOTA for embodied agents by unifying multiple modalities, potentially accelerating Physical AI development.

RANK_REASON The cluster describes a new research paper detailing a novel AI model architecture and its performance.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Aditi, Niket Agarwal, Arslan Ali, Jon Allen, Martin Antolini, Adeline Aubame, Alisson Azzolini, Junjie Bai, Maciej Bala, Yogesh Balaji, Josh Bapst, Aarti Basant, Mukesh Beladiya, Mohammad Qazim Bhat, Zaid Pervaiz Bhat, Dan Blick, Vanni Brighella, Han Cai… ·

    Cosmos 3: Omnimodal World Models for Physical AI

    arXiv:2606.02800v1 Announce Type: cross Abstract: We introduce Cosmos 3, a family of omnimodal world models designed to jointly process and generate language, image, video, audio, and action sequences within a unified mixture-of-transformers architecture. By supporting highly fle…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Cosmos 3: Omnimodal World Models for Physical AI

    Cosmos 3 is an omnimodal world model that processes and generates multiple data types through a unified mixture-of-transformers architecture, achieving state-of-the-art performance in various understanding and generation tasks.