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At the recently concluded 7th Beijing BDA Conference, BAAI released a series of large models named 'WuJie'. The release of these models marks another technological leap in the field of artificial intelligence, drawing the attention of many tech enthusiasts. The models released this time include the native multimodal world model Emu3, brain science multimodal universal foundational model JianWei Brainμ, and the ontology-crossing embodied brain-cerebellum collaboration framework RoboOS2.0 as well as the embodied brain RoboBrain2.0. Additionally, there are full...

At the BITA Conference held today in 2025, the Beijing Academy of Artificial Intelligence formally released the Wu World series of large models, comprehensively showcasing its latest research results and strategic layout in the direction of physical general artificial intelligence (AGI). The Wu World series aims to break through the boundary between virtual and real worlds and empower the physical world, covering four cutting-edge models: the multi-modal world model Emu3, brain science model Jianwei Brainμ, embodied intelligence brain RoboBrain 2.0, and microscopic life model OpenComplex2, constructing a framework from...

Beijing Zhiyuan Artificial Intelligence Research Institute announces the launch of the native multimodal world model Emu3. This model is based on next-token prediction technology and does not rely on diffusion models or combinatorial methods to achieve understanding and generation across text, image, and video modalities. Emu3 surpasses existing well-known open-source models such as SDXL, LLaVA, and OpenSora in tasks like image generation, video generation, and visual language understanding, showcasing exceptional performance.

["ZhiYuan Research Institute has released the new generation multimodal foundation model Emu2, pushing the boundaries of multimodal contextual learning capabilities.", "Emu2 surpasses Flamingo-80B and IDEFICS-80B, demonstrating excellent performance in few-shot multimodal understanding tasks.", "Emu2 achieves optimal performance in multiple few-shot understanding, visual question answering, and image generation tasks.", "Emu2-Chat realizes accurate understanding of text-image instructions, while Emu2-Gen offers flexible, controllable, high-quality images."]