深圳商报·读创客户端首席记者 王海荣 文/图 "陆兮科技将充分发挥在类脑计算与自主可控人工智能领域的技术优势，与联合实验室共建单位一起，共同探索新一代人工智能的创新架构与产业化路径！" 9月15日，粤港澳大湾区生成式人工智能安全发展联合实验室理事、陆兮科技创始人、CEO汪博伦在参加粤港澳大湾区生成式人工智能安全发展联合实验室 揭牌仪式时说。 汪博伦介绍，陆兮科技是中国首家聚焦类脑人工智能大模型的全生态链企业，专注于从零构建自主研发的类脑架构，不仅成功推出国内首个采用类脑技术路 线的自研大模型——陆兮类脑大模型，还联合多家行业龙头企业，打造出赋能医疗、水利、金融、教育、低空经济等领域的行业垂类类脑大模型。 汪博伦表示，相较于传统架构，陆兮自研类脑架构的推理效率提升数倍，能耗降幅超80%。公司始终秉持"自研芯片+软硬适配"的技术路径，持续推进模型 与芯片的软硬件一体化协同适配：确保类脑架构可在国产芯片上稳定高效运行的同时，彻底摆脱对国外高性能GPU的依赖，构建起自主可控的类脑AI技术 体系。 � 2 ��������� ... .. .. .. .. .. .. .. .. .. .. .. .. .. . ed ...

Core Insights - Zhejiang University has launched a new generation of neuromorphic brain-like computer named "Wukong," which is the first in the world to exceed 2 billion neurons based on dedicated neuromorphic chips [1][2] - "Wukong" features over 2 billion spiking neurons and more than 100 billion synapses, closely resembling the scale of a macaque brain, with a typical operating power consumption of approximately 2000 watts [1] - The previous largest neuromorphic brain-like computer was Intel's Hala Point system, which had a neuron scale of 1.15 billion [1] Group 1 - "Wukong" is equipped with 960 self-developed Darwin 3rd generation brain-like computing chips, organized into 15 blade-type neuromorphic brain-like servers [1] - Each chip supports over 2.35 million spiking neurons and hundreds of millions of synapses, along with a dedicated instruction set for brain-like computing and an online learning mechanism [1][2] Group 2 - The research team has developed the Darwin brain-like operating system alongside "Wukong," which can run intelligent applications such as DeepSeek brain-like models for logical reasoning, content generation, and mathematical problem-solving [2] - "Wukong" offers a new computational paradigm with its large scale, high parallelism, and low power consumption, providing a computational foundation for artificial intelligence development and serving as a simulation tool for neuroscientists [2]

Core Viewpoint - The article discusses the launch of "Wukong," the world's largest neuromorphic brain-like computer developed by Zhejiang University, which features over 2 billion neurons and more than 100 billion synapses, marking a significant advancement in brain-inspired computing technology [2][3]. Group 1 - "Wukong" is the first neuromorphic brain-like computer with a neuron scale exceeding 2 billion, surpassing Intel's Hala Point system, which has 1.15 billion neurons [2]. - The computer operates at approximately 2000 watts under typical conditions, showcasing its low power consumption compared to traditional computing systems [2]. - "Wukong" is built on 960 Darwin 3rd generation brain-like computing chips, organized into 15 blade-style neuromorphic servers [2][3]. Group 2 - The research team has developed a new generation Darwin brain-like operating system alongside "Wukong," enabling it to run various intelligent applications, including DeepSeek brain-like models for logical reasoning, content generation, and mathematical problem-solving [3]. - "Wukong" can simulate the brain structures of various animals, including nematodes, zebrafish, mice, and macaques, providing a versatile platform for neuroscience research [3][4]. - The computer's high parallelism and efficiency are expected to offer new computational paradigms for existing computing scenarios and support the development of artificial intelligence [3][4].