We motivate a new canonical strategy for integrating photonic neural networks (NNs) by leveraging 3D printing. Our believe is that a NN's parallel and dense connectivity is not scalable without 3D integration. 3D additive fabrication complemented with photonic signal transduction can dramatically augment the current capabilities of 2D CMOS and integrated photonics. Here we review some of our recent advances made towards such a breakthrough architecture.

中文翻译：

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光神经网络：3D 连接

我们通过利用 3D 打印激发了集成光子神经网络 (NN) 的新规范策略。我们认为，如果没有 3D 集成，神经网络的并行和密集连接是不可扩展的。3D 增材制造与光子信号转导相辅相成，可以显着增强 2D CMOS 和集成光子学的当前能力。在这里，我们回顾了我们最近在这种突破性架构方面取得的一些进展。