Brain Organoid Computing for Artificial Intelligence

Author:

Cai Hongwei,Ao Zheng,Tian Chunhui,Wu Zhuhao,Liu Hongcheng,Tchieu Jason,Gu Mingxia,Mackie Ken,Guo Feng

Abstract

AbstractBrain-inspired hardware emulates the structure and working principles of a biological brain and may address the hardware bottleneck for fast-growing artificial intelligence (AI). Current brain-inspired silicon chips are promising but still limit their power to fully mimic brain function for AI computing. Here, we developBrainoware, living AI hardware that harnesses the computation power of 3D biological neural networks in a brain organoid. Brain-like 3Din vitrocultures compute by receiving and sending information via a multielectrode array. Applying spatiotemporal electrical stimulation, this approach not only exhibits nonlinear dynamics and fading memory properties but also learns from training data. Further experiments demonstrate real-world applications in solving non-linear equations. This approach may provide new insights into AI hardware.

Publisher

Cold Spring Harbor Laboratory

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