张旭：类脑智能将引领下一代人工智能革命，广东具有先发优势

Core Insights - The Guangdong Province is accelerating the development of a modern industrial system, focusing on emerging industries such as artificial intelligence and robotics [2] - Brain-inspired intelligence (BI) is highlighted as a significant development direction for the next generation of AI, with disruptive potential in technology and industry transformation [4] Group 1: Brain-Inspired Intelligence - Brain-inspired intelligence is a new path to overcome AI technology bottlenecks, drawing inspiration from brain science and neuroscience [4] - The core advantages of brain-inspired intelligence include low power consumption, self-evolution, and small sample learning, which can lead to breakthroughs in computation speed, energy consumption, and reasoning capabilities [4] - The broad scope of brain-inspired intelligence encompasses areas such as brain-like vascular systems and organ engineering, with applications in simulating brain functions and disease mechanisms [4] Group 2: Research and Development Progress - The Guangdong Provincial Institute of Intelligent Science and Technology has made significant research advancements in brain-inspired intelligence, promoting comprehensive innovation from algorithms to chips [5] - The team has developed the "Intuitive Neural Network" (INN), which integrates symbolic computation with data-driven approaches, achieving both interpretability and high energy efficiency [5] - The "Tianqin Chip" BPU processor and the "Tianqin·Hai" wafer chip support brain-like computing systems, achieving breakthroughs in speed and power consumption [5] Group 3: Industrial Ecosystem and Recommendations - The brain-inspired intelligence ecosystem is categorized into four levels: core research institutions, infrastructure companies (chip and computer manufacturers), hardware enterprises in the supply chain, and application-end companies [5] - Brain-like computing technology can drive the miniaturization and high integration of intelligent terminals, activating emerging industries such as chip manufacturing and brain-machine medical applications [5] - Recommendations include accelerating the construction of heterogeneous fusion supercomputing centers, promoting energy-saving technologies, and focusing on the development of brain-like chips, sensors, and distributed intelligent computing networks [5]