Photonic Neuromorphic Computing: Architectures, Technologies, and Training Models

M. Moralis‐Pegios, A. Totović, A. Tsakyridis, G. Giamougiannis, G. Mourgias-Alexandris, G. Dabos, N. Passalis, M. Kirtas, A. Tefas, N. Pleros
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引用次数: 9

Abstract

We summarize recent developments in neuromorphic photonics, including our work and the advances it brings beyond the state-of-the-art demonstrators in terms of architectures, technologies, and training models for a synergistic hardware/software codesign approach.
光子神经形态计算:架构、技术和训练模型
我们总结了神经形态光子学的最新发展,包括我们的工作和它在架构、技术和训练模型方面带来的进步,这些都是最先进的演示,用于协同硬件/软件协同设计方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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