Core Viewpoint - The article discusses the integration of brain-machine interfaces (BMIs) and embodied intelligence in rehabilitation, highlighting the potential for these technologies to enhance patient recovery and redefine the roles of healthcare professionals and robots in medical settings [6][7][10]. Group 1: Brain-Machine Interface and Embodied Intelligence - The concept of combining BMIs with embodied intelligence is presented as a groundbreaking approach to rehabilitation, allowing robots to assist patients based on their brain signals [6][7]. - The integration of BMIs can potentially enable patients to control robotic devices through thought, enhancing the effectiveness of rehabilitation training [23][25]. - The article emphasizes that the future of rehabilitation may involve not only robots assisting doctors but also patients becoming "cyborgs" [8][10]. Group 2: Technological Advancements - Recent advancements in BMI technology, including lighter and more modular hardware, have made it feasible for large-scale deployment in clinical settings [31][36]. - The development of large models has improved the processing of complex brain signals, allowing for more accurate intention recognition [32][34]. - The article notes that the combination of these technological advancements has laid the groundwork for BMIs to actively participate in rehabilitation [35][36]. Group 3: Clinical Applications and Future Directions - Fourier's introduction of the "smart rehabilitation port" in 2020 has been a significant step in integrating advanced technologies into rehabilitation practices [11][12]. - The article outlines a strategic initiative to create a large-scale BMI data set to enhance the training of large models for better intention recognition [40][41]. - The potential for robots to serve as experimental platforms for understanding brain functions is highlighted, suggesting that they could facilitate research that is difficult to conduct directly on human subjects [64][65]. Group 4: Expert Insights and Discussions - Experts in the roundtable discussion emphasize the importance of leveraging intelligent devices to enhance the capabilities of healthcare professionals, rather than replacing them [49][56]. - The conversation also touches on the need for a comprehensive understanding of brain functions to improve the design of intelligent systems that can effectively interact with humans [51][62]. - The integration of BMIs, embodied intelligence, and AI is seen as a pathway to achieving significant advancements in both medical applications and broader societal impacts [60][63].

Group 1 - The 2025 Bund Conference in Shanghai showcases advancements in artificial intelligence across various sectors, featuring nearly 200 companies and over 30 new technology products [1] - Fudan University's Fuxi meteorological model provides global weather forecasts for the next 15 days, aiding agricultural production with precise data on temperature, wind speed, and precipitation [2] - AI is expected to significantly reshape society and drive industrial upgrades and economic structural changes, as stated by Zhang Hongjiang, a partner at Source Code Capital [2] Group 2 - AI is enhancing healthcare with applications like Fourier's "Smart Rehabilitation Port," which uses upper limb rehabilitation robots, and Ant Group's AI health application AQ, which mimics a doctor's diagnostic process [2] - Ant Group's CEO, Han Xinyi, emphasizes that AI in healthcare aims to provide personalized and accurate recommendations, although AI will not replace doctors in the foreseeable future [2] - Experts at the conference noted the deep integration of AI across various industries and sectors [2] Group 3 - The integration of AI and robotics is giving rise to the embodied intelligence industry, which involves three stages: perception, planning, and control [4] - Future AI is expected to learn through real-world interactions, evolving from a data-driven learner to an experiential explorer [4] - Challenges in embodied intelligence development include data collection and quality issues, as well as difficulties in aligning models with robotic control modalities [4] Group 4 - The current state of AI is likened to a desert with only a few opportunities, indicating a potential for explosive growth in the field [5] - The conference featured demonstrations of robots engaging in activities like boxing, showcasing the practical applications of AI and robotics [5]