天桥脑科学研究院成立尖峰智能实验室，支持“发现式智能”

Core Insights - The establishment of the Spiking Intelligence Lab (SIL) aims to develop brain-like models with neuro-dynamic characteristics, focusing on the integration of artificial intelligence and human intelligence [1][3] - The lab is led by Professor Li Guoqi and is part of the Tianqiao Brain Science Research Institute, which seeks to provide key capabilities for the "discovery-based intelligence" proposed by founder Chen Tianqiao [1][3] Research Focus - The lab emphasizes the importance of neuro-dynamics, contrasting with mainstream AI models that rely on scaling parameters, and aims to create a full-brain architecture with strong perception, memory, and thinking capabilities [3] - The research will support the construction of a full-brain architecture that operates with approximately 20 watts of power, similar to the human brain, which has complex operations supported by billions of neurons [3] Funding and Resources - The Tianqiao Brain Science Research Institute plans to invest over $1 billion to build dedicated computing clusters to provide resources for young scientists, focusing on structural exploration rather than scaling [4] - This investment aims to foster interdisciplinary innovation and support the verification of memory mechanisms and new neuro-dynamic hypotheses [4] Technological Advancements - The lab has developed the first brain-like pulse model, "Shunxi 1.0," which achieves breakthroughs in brain-like computing and large model integration, offering a new technical route for the next generation of AI [4][5] - The "Shunxi 1.0" model requires only about 2% of the data volume compared to mainstream models while achieving comparable performance in various language understanding and reasoning tasks [5]