Core Insights - The development of brain-like intelligence (BI) is seen as a next-generation artificial intelligence (AI) that relies on exploring the computational capabilities of the human brain [2][3] - The industry is progressing through an interconnected research and development system that includes brain-machine interfaces, algorithms, intelligent chips, and general brain-like computers [2][4] - China is positioned at the forefront of the BI industry due to its rich application scenarios and a well-established industrial chain, which offers a first-mover advantage [5] Industry Development - The Guangdong Provincial Institute of Intelligent Science and Technology has successfully built the world's first brain-like computing system with a scale of 10 billion neurons, equivalent to about one-ninth of the human brain [3] - The innovation chain of BI encompasses biological research on brain perception and cognition, and it is essential for the industry to advance through collaboration between the innovation chain and the industrial chain [4][6] - The potential applications of BI in healthcare include decoding Chinese sentences and tones through brain-machine interfaces, as well as personalized sleep regulation through real-time brainwave analysis [5] Challenges and Opportunities - The BI industry faces challenges in computing power, investment, and talent cultivation, which need to be addressed for further development [7] - There is a need for software development that can convert brain data into mathematical models and run them on chips to produce functional outputs [7] - The industry requires strategic investments and enhanced talent training, particularly in management roles, to support its growth and innovation [7]