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Recently, a collaborative effort between the Institute of Automation, Chinese Academy of Sciences, and the CASIA-Zidong Taichu team introduced Vision-R1, a novel method leveraging R1-like reinforcement learning to significantly enhance visual localization capabilities. This approach achieved a 50% performance improvement in complex tasks such as object detection and visual localization, surpassing existing state-of-the-art (SOTA) models with over ten times the parameter scale. Currently, large vision-language models typically rely on "pre-training + supervised fine-tuning" to improve responsiveness to user instructions, but this...

In the arena of artificial intelligence, China is steadily advancing with a posture of independent innovation. On November 26, the world's first multimodal large model with 100 billion parameters, 'Zidong Taichu' 3.0, was officially unveiled in Wuhan, adding a significant chapter to domestic AI technology. This is not just a technological iteration, but an important milestone in China's AI ecosystem. Jointly developed by the Institute of Automation, Chinese Academy of Sciences, Huawei, and the Wuhan East Lake High-Tech Zone, 'Zidong Taichu' has successfully built the world's first pre-trained model covering image, text, and audio modalities.