China's Zhejiang University has made a significant breakthrough in artificial intelligence with the development of "Darwin Monkey," a brain-like computer boasting over 2 billion artificial neurons and 100 billion synapses. This system, powered by 960 Darwin 3 neuromorphic chips, rivals the neural capacity of a macaque monkey's brain and supports advanced AI tasks like content generation, logical reasoning, and mathematical problem-solving.
The Darwin Monkey system utilizes spiking neural networks (SNNs) to mimic biological neuron communication, enabling efficient and adaptive processing. It can simulate entire brains of various animals, including zebrafish, mice, and macaques, offering new possibilities for neuroscience research and drug discovery. The system consumes approximately 2,000 watts of power, demonstrating progress toward biological efficiency compared to traditional computing systems.
The Darwin Monkey runs the DeepSeek brain-like large model, showcasing potential for complex reasoning, content generation, and mathematical problem-solving. This development surpasses Intel's neuromorphic system, Hala Point, which featured 1.15 billion neurons.
The potential applications of Darwin Monkey are vast, including neuroscience research, artificial intelligence, and drug discovery. By simulating animal brains, researchers can gain a deeper understanding of neural processes and develop new treatments. The system can also be used to develop more efficient and adaptive AI systems that mimic human cognition.
Overall, the Darwin Monkey represents a significant leap in neuromorphic computing, with potential applications in various industries. Its development marks an exciting milestone in the field of artificial intelligence and brain-like computing.
