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脑机接口发展进入加速期,人才建设能否跟上?
Di Yi Cai Jing· 2025-09-23 09:01
Core Insights - China's brain science research is transitioning from "catching up" to "keeping pace" and "leading," but faces challenges such as a shortage of high-end research talent and insufficient support for young researchers [1][2] Group 1: Talent Shortage - There is a significant shortage of high-end research talent in the brain-machine interface (BMI) field, which is hindering breakthroughs in the discipline [2] - The founder of Brain Tiger Technology emphasizes that the growth of talent is crucial for the future of the industry, advocating for a synergy between basic research and industrial application [2] Group 2: Educational Initiatives - The Chinese government has issued opinions to promote innovation in the BMI industry, focusing on strengthening talent cultivation in relevant disciplines and encouraging collaboration between enterprises and educational institutions [2] - Fudan University's Brain Science Research Institute is actively involved in developing new technologies, such as nano-wire artificial photoreceptors, to restore vision for blind patients [3] Group 3: Interdisciplinary Talent Requirements - The talent gap in the BMI field is primarily in core research and development areas, including algorithms, hardware engineering, software systems, clinical applications, and data security [4] - Experts highlight the need for interdisciplinary talent who understand neuroscience, engineering, and algorithms, as the knowledge requirements are extensive [4][5] Group 4: Educational Models - Hainan University is implementing a cross-disciplinary talent cultivation plan that aligns with the needs of the BMI industry, focusing on integrating various fields such as biomedical engineering [5] - Innovative training models, such as academic mentorship and personalized development plans, are being adopted to enhance students' practical and innovative capabilities [5]
新技术浪潮重塑传统专业
Group 1 - The mechanical engineering field is evolving, with a growing demand for interdisciplinary talents who can adapt to various roles within companies, similar to a versatile soccer player [1][3] - Companies are increasingly seeking graduates with a combination of traditional mechanical skills and new technologies such as artificial intelligence and machine learning, reflecting a shift towards composite talent requirements [3][4] - The recruitment trend shows that nearly 30% of new hires in mechanical roles come from interdisciplinary backgrounds, indicating a significant preference for candidates who can integrate mechanical engineering with new technologies [4][5] Group 2 - The manufacturing industry is undergoing a digital transformation, leading to a heightened demand for robotics and automation expertise, which traditional mechanical engineers can leverage due to their foundational knowledge [5][6] - Private enterprises are often quicker to adopt new technologies compared to state-owned enterprises, exemplified by companies like Midea Group, which are moving towards "unmanned factories" [5][6] - The integration of new technologies in mechanical engineering education is essential, with universities updating curricula to include courses on artificial intelligence and smart manufacturing [11][12] Group 3 - Despite the rise of automation and "unmanned factories," there remains a strong need for traditional mechanical skills, as foundational knowledge is crucial for understanding and implementing new technologies [12][13] - Educational institutions are responding to industry feedback by enhancing the teaching of basic mechanical knowledge, ensuring that graduates are well-prepared for the evolving job market [13][14] - The transition to smart manufacturing is expected to create new job opportunities in areas such as maintenance and operation of intelligent production lines, countering concerns about job losses due to automation [14]