北京银河通用机器人有限公司创始人王鹤：人工智能前沿发展需产学研深度融合，单一基金支持与纯论文导向已不足应对技术突破挑战

Core Insights - The development of artificial intelligence, particularly in the field of embodied intelligence, requires a deeper integration of industry, academia, and research [1] - Traditional funding sources, such as the National Natural Science Foundation, are insufficient to meet the computational demands of large model development, with costs exceeding one million yuan per project [1] - The academic evaluation system based solely on the quantity of top conference papers is inadequate; practical applications in the industry are becoming a crucial source of top-tier AI research outcomes [1] Industry and Company Summary - The need for collaboration between academic research and corporate investment is emphasized to foster sustainable development in China's AI sector [1] - Continuous training of specialized talent through universities is essential for advancing AI research and applications [1] - A focus on practical, impactful projects rather than merely increasing paper output is necessary for guiding students and enhancing industry relevance [1]