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Source: Science and Technology Daily

◎ Science and Technology Daily reporter Lu Chengkuan

On August 16, Nature Computational Science published an important advance in the field of brain-like computing. Drawing on the complex dynamics of brain neurons, the team of researchers Li Guoqi and Xu Bo from the Institute of Automation of the Chinese Academy of Sciences, together with researchers from Tsinghua University and Peking University,A new method for constructing brain-like neuron models was proposed.

The research team designed a brain-like neuron model based on intrinsic complexity by improving the intrinsic complexity of the computing unit through micro-architecture design. The experimental results verified the effectiveness and reliability of the intrinsic complexity model in processing complex tasks.

More importantly, the model makes more efficient use of computing resources, while also significantly reducing the use of memory and computing time, thereby improving overall computational efficiency.

This research result improves the problem of increased computing resource consumption caused by the outward expansion of traditional models, and provides a new case for the effective use of neuroscience to develop artificial intelligence.