脑启智跃:人脑与类脑的协同创新范式OA

Today,the transformative applications of artificial intelligence(AI)are revolutionizing various sectors of so-ciety.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 chal-lenges,such as reliance on static rules,limited simulation capabilities,and shallow representation models.These limita-tions hinder their adaptability in dynamic environments,capacity for global intelligence,and ability to capture the es-sence of intelligence.The human brain is the most sophisticated intelligent system in nature through its multimodal per-ception,advanced cognition,and intelligent decision-making.Therefore,this paper tries to transcend disciplinary bound-aries 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.