脑启智跃：人脑与类脑的协同创新范式

Today, the transformative applications of artificial intelligence (AI) are revolutionizing various sectors of society. From surgical robots enhancing medical precision to autonomous vehicles redefining transportation systems, AI is accelerating social advancement at an unprecedented pace. However, current AI technologies still face significant challenges, such as reliance on static rules, limited simulation capabilities, and shallow representation models. These limitations hinder their adaptability in dynamic environments, capacity for global intelligence, and ability to capture the essence of intelligence. The human brain is the most sophisticated intelligent system in nature through its multimodal perception, advanced cognition, and intelligent decision-making. Therefore, this paper tries to transcend disciplinary boundaries by using the functional mechanisms as a bridge and construct a full-chain collaborative innovation paradigm. This paradigm seeks to realize both the optimization of brain-inspired systems guided by human brain mechanisms and the deepened understanding of brain functions through feedback from these systems. Looking ahead, the integration of the human brain and brain-inspired systems will catalyze an “Intelligent Leap Inspired by Brain Function Mechanisms,” achieving a breakthrough in intelligence and ultimately ushering in a new era of intelligent civilization characterized by human-machine symbiosis.