内容概况：中国神经形态芯片行业迎来了快速发展的新阶段，技术突破和市场需求的双重推动使其成为 全球半导体行业的重要竞争领域。2024年，中国神经形态芯片行业市场规模约为25.48亿元，同比增长 12.89%。技术方面，清华大学研发的"天机芯"和浙江大学研发的亿级神经元类脑计算机展示了中国的技 术实力。2025年，中国企业在7nm以下制程的神经形态芯片量产良率上取得提升，部分实验性产品采用 3D堆叠技术与新型忆阻器材料，能效比传统GPU提升50倍以上。 相关上市企业：寒武纪（688256）、海光信息（688041）、中芯国际（688981） 相关企业：隆基绿能科技股份有限公司、云南锗业集团股份有限公司、有研新材料股份有限公司、深圳 市江波龙电子股份有限公司、北京时代全芯存储技术股份有限公司、上海微电子装备（集团）股份有限 公司、中微半导体设备（上海）股份有限公司、江苏长电科技股份有限公司、科大讯飞股份有限公司、 商汤集团股份有限公司、歌尔股份有限公司、汉威科技集团股份有限公司、北京灵汐科技有限公司、杭 州时识科技有限公司、华为技术有限公司 关键词：神经形态芯片、神经形态芯片市场规模、神经形态芯片行业现状、神经形态 ...

Core Viewpoint - The article discusses the latest advancements and trends in artificial intelligence and robotics, highlighting various innovative fields and technologies that are shaping the future of these industries. Group 1: Artificial Intelligence and Robotics - Artificial intelligence aims to replicate human-like intelligence in machines, encompassing areas such as robotics, language recognition, and image recognition [12][19][22] - Key technologies in AI include machine learning, neural networks, and natural language processing, which are essential for developing intelligent systems [19][22] - The rise of swarm intelligence is noted, where collective behavior of multiple agents can lead to enhanced problem-solving capabilities in various applications [15][16] Group 2: Innovative Fields - Nine major innovative fields are identified, including human-machine interaction, biohybrids, and radical social innovation breakthroughs [8][89] - The article emphasizes the importance of interdisciplinary research in driving advancements in these fields, particularly in integrating AI with other technologies [8][89] Group 3: Emerging Technologies - Technologies such as hyperspectral imaging, speech recognition, and touchless gesture recognition are highlighted for their potential applications in various sectors [10][13][29] - The development of flying cars and autonomous vehicles is discussed, emphasizing the need for advancements in materials and battery technology to make these innovations feasible [32][33] Group 4: Material Innovations - Liquid metal technology is presented as a frontier material with applications in electronics and flexible devices, showcasing its unique properties [34][37] - The article also covers the advancements in high-temperature alloys and carbon fiber, which are crucial for aerospace and automotive industries [39][56] Group 5: Future Directions - The article suggests that the integration of AI with neuroscience could lead to breakthroughs in understanding human cognition and developing smarter systems [24][90] - It calls for continued investment in research and development to maintain competitiveness in the global market for AI and robotics technologies [86][88]