Core Insights - Zhejiang University has launched a new generation of neuromorphic brain-like computer named "Darwin Monkey" or "Wukong" [1] - The computer is based on specialized neuromorphic chips, supporting over 2 billion pulse neurons and over 100 billion synapses, closely resembling the scale of a macaque monkey's brain [1] Neuromorphic Computing - Neuromorphic computing applies the working mechanisms of biological neural networks to computer system design, aiming to create low-power, highly parallel, efficient, and intelligent computing systems [1] - "Wukong" is equipped with 960 Darwin 3rd generation neuromorphic computing chips developed in collaboration with the ZheJiang University and the ZhiJiang Laboratory [1] - Each chip supports over 2.35 million pulse neurons and hundreds of millions of synapses, along with a dedicated instruction set for brain-like computing and an online learning mechanism [1] Technological Breakthroughs - "Wukong" has achieved breakthroughs in key technologies such as large-scale neural interconnection and integration architecture [1]

Core Insights - Zhejiang University has launched a new generation of neuromorphic brain-like computer named Darwin Monkey ("Wukong"), which is the first neuromorphic computer in the world with over 2 billion neurons, closely resembling the scale of a macaque brain [1][2] Group 1: Technology and Development - "Wukong" is equipped with 960 self-developed Darwin 3rd generation neuromorphic chips, supporting over 2 billion spiking neurons and over 100 billion synapses, with a power consumption of approximately 2000 watts under typical operating conditions [1] - The Darwin chip was developed in early 2023, with each chip supporting over 2.35 million spiking neurons and hundreds of millions of synapses, along with a dedicated instruction set for brain-like computing and online learning mechanisms [1] - The team achieved breakthroughs in several key technologies, including large-scale neuron system interconnection and integration architecture, adaptive time-step control methods, and domestic wafer substrate technology for wafer-level neuromorphic chips [1] Group 2: Applications and Future Plans - The team has successfully deployed multiple intelligent applications on "Wukong," capable of running the DeepSeek brain-like large model for logical reasoning, content generation, and mathematical problem-solving [2] - "Wukong" can also simulate the brains of various animals, including C. elegans, zebrafish, mice, and macaques, providing new tools for neuroscience research [2] - Future plans include further improvements in neural models and learning algorithms [2]

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].

Core Insights - The article discusses the launch of the Darwin Monkey ("悟空"), a new generation neuromorphic brain-like computer developed by Zhejiang University, which features over 2 billion neurons, marking a significant advancement in the field of neuromorphic computing [3][4]. Group 1: Technology and Development - The Darwin Monkey consists of 15 blade-type neuromorphic servers, each integrating 64 Darwin 3rd generation brain-like computing chips, which were developed in collaboration with the ZheJiang Lab [4][7]. - The Darwin 3rd generation chip supports over 2.35 million spiking neurons and hundreds of millions of synapses, enabling advanced brain-like computing capabilities [4][7]. - The system operates at approximately 2000 watts under typical conditions, showcasing its low power consumption [7]. Group 2: Innovations and Breakthroughs - The research team achieved breakthroughs in several key technologies, including large-scale neuron system interconnection and integration architecture, adaptive time-step control methods, and a layered system resource management framework [10][15]. - A new generation Darwin brain-like operating system was developed, which employs a hierarchical resource management architecture to optimize system resources dynamically [10][15]. Group 3: Applications and Implications - The Darwin Monkey has successfully deployed various intelligent applications, including running the DeepSeek brain-like model for logical reasoning, content generation, and mathematical problem-solving [13][15]. - The system serves as a natural platform for brain simulation, aiding neuroscience research by providing new experimental tools to explore brain mechanisms [15]. - The capabilities of the Darwin Monkey are expected to address the high energy consumption and computational demands of current deep learning models, potentially revolutionizing artificial intelligence [15].

Core Insights - The Zhejiang University Brain-Machine Intelligence National Key Laboratory has launched a new generation of neuromorphic brain-like computer named "Wukong" which features over 2 billion pulse neurons and more than 100 billion synapses, closely resembling the scale of a macaque brain [1][3] - "Wukong" operates at a power consumption of approximately 2000 watts under typical conditions, making it the first neuromorphic computer internationally to exceed 2 billion neurons based on dedicated neuromorphic chips [1][3] Group 1 - "Wukong" is equipped with 960 Darwin 3rd generation neuromorphic computing chips, organized into 15 blade-style neuromorphic servers [3][5] - Each Darwin chip supports over 2.35 million pulse neurons and hundreds of millions of synapses, along with a dedicated instruction set for brain-like computing and an online learning mechanism [3][5] Group 2 - The research team has developed a new generation of Darwin brain-like operating system and has validated multiple intelligent applications on "Wukong," capable of running the DeepSeek brain-like model for logical reasoning, content generation, and mathematical problem-solving [5] - "Wukong" can also simulate the brain structures of various animals, including Caenorhabditis elegans, zebrafish, mice, and macaques, showcasing its versatility in brain-like computations [5]

Core Insights - Zhejiang University Brain-Machine Intelligence National Key Laboratory has launched a new generation of neuromorphic brain-like computer named Darwin Monkey (referred to as "Wukong") [1] - The neuromorphic computer supports over 2 billion pulse neurons, placing it among the top in the global neuromorphic computing systems [1] Technology Overview - Neuromorphic computing mimics the working mechanism of biological neural networks to create intelligent computing systems that are low-power, highly parallel, and efficient [1] - Wukong consists of 15 blade-type neuromorphic brain servers, each integrating 64 Darwin 3rd generation brain computing chips [1] - Each chip can support over 2.35 million pulse neurons and hundreds of millions of synapses, along with a dedicated instruction set for brain-like computing and online learning mechanisms [1] Performance Metrics - Wukong's synapse count exceeds 100 billion, and its neuron count is close to that of a macaque brain, with a typical operating power consumption of approximately 2000 watts [1] - The system has successfully run the DeepSeek brain-like large model, completing tasks such as logical reasoning and content generation, and can preliminarily simulate the brains of various animals from C. elegans to macaques [1]