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Article Abstract
Brain-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 develop , living AI hardware that harnesses the computation power of 3D biological neural networks in a brain organoid. Brain-like 3D cultures 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.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002682 | PMC |
| http://dx.doi.org/10.1101/2023.02.28.530502 | DOI Listing |
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