Chinese researchers unveiled on Saturday a new generation of super large-scale brain-like computer, Darwin Monkey, the world's first neuromorphic brain-like computer based on dedicated neuromorphic chips with over 2 billion neurons, which can mimic the workings of a macaque monkey's brain, Azernews reports, citing Global Times.
Developed by the State Key Laboratory of Brain-Machine Intelligence at Zhejiang University in East China's Zhejiang Province, Darwin Monkey, also known as Wukong supports over 2 billion spiking neurons and more than 100 billion synapses, with a neuron count approaching that of a macaque brain. It consumes approximately 2,000 watts of power under typical operating conditions, the Science and Technology Daily reported.
The human brain is like an extremely efficient "computer." Brain-inspired computing applies the working principles of biological neural networks to computer system design, aiming to build computing systems that, like the brain, feature low power consumption, high parallelism, high efficiency, and intelligence.
Previously, the largest neuromorphic brain-like computer in the world was Intel's Hala Point system, released in April 2024, which featured 1.15 billion neurons.
Wukong is equipped with 960 Darwin 3 neuromorphic computing chips, the third-generation brain-like neural processing units. It consists of a total of 15 blade-style neuromorphic brain-like servers. The chip was developed in early 2023 under the leadership of Zhejiang University in collaboration with Zhejiang Lab.
A single chip supports more than 2.35 million spiking neurons and hundreds of millions of synapses, and it also supports a specialized instruction set for brain-inspired computing, as well as an online neuromorphic learning mechanism.
Building on the foundation of neuromorphic computing chips, the research team also developed a new-generation brain-inspired operating system. According to Pan Gang, head of the research team and director of the State Key Laboratory of Brain-Machine Intelligence at Zhejiang University, the team has successfully deployed several intelligent applications on the computer. It can run the DeepSeek brain-like large model to perform tasks such as logical reasoning, content generation, and mathematical problem-solving. Leveraging its powerful neuronal and synaptic resources, the system can preliminarily simulate animal brains of varying neuron sizes, including those of elegans, zebrafish, mice and macaques, offering new possibilities for brain science research.
With its features of large scale, high parallelism, and low power consumption, Wukong will offer a new computational paradigm for existing computing scenarios, according to Pan.
Pan explained that it can serve as a new computational foundation for the development of artificial intelligence (AI), act as a brain simulation tool for neuroscientists, and provide new experimental methods to explore the brain's working mechanisms, enabling scientists to better understand the brain and reduce the need for biological experiments.
Moreover, human reasoning ability and efficiency still far surpass those of the current AI. By mimicking the brain's working mechanisms while achieving computational speeds beyond those of the human brain, the Wukong computer will provide powerful support for future research in brain-inspired AI.
