智源研究院发布“悟界”系列大模型，推动AI迈向物理世界

Core Insights - The Beijing Zhiyuan Conference, held on June 6, showcased the launch of the "Wujie" series of large models by the Zhiyuan Research Institute, marking a significant step in advancing artificial intelligence from the digital realm to the physical world [1][2] Group 1: Development of Large Models - The director of Zhiyuan Research Institute, Wang Zhongyuan, emphasized that the development of large model technology is far from reaching its peak, with ongoing advancements in performance and capabilities [2][3] - The transition from large language models to native multimodal world models is underway, aiming to enhance AI's perception and interaction with the physical world [2][3] Group 2: Multimodal Models and Applications - The "Wujie" series includes several models such as Emu3, Brainμ, RoboOS 2.0, and RoboBrain 2.0, which are designed to integrate various data modalities and enhance capabilities in fields like neuroscience and robotics [4][5][6] - Brainμ has shown superior predictive capabilities for conditions like depression and Alzheimer's compared to specialized models, integrating large-scale multimodal data for various applications [5][6] Group 3: Advancements in Robotics - RoboBrain 2.0 has achieved a 74% improvement in task planning accuracy compared to its predecessor, with overall performance enhancements of 30% and reduced response times [7][8] - The newly released RoboOS 2.0 framework allows for seamless integration of robotic systems, significantly reducing deployment time from days to hours [8] Group 4: Breakthroughs in Biomedicine - The OpenComplex2 model represents a breakthrough in dynamic modeling of biological molecules, which could significantly shorten drug development cycles and enhance the quality of innovations in the biomedicine sector [9] - The establishment of a high-speed cross-scale cardiac drug safety evaluation platform aims to expedite the assessment of drug toxicity, reducing evaluation time from 90 days to less than one day [9]