most present optical computing schemes are hardly scalable since the number of optical elements typically increases quadratically with the computational matrix size. Here, a compact on-chip optical convolutional
In this work, we address the drawbacks of DONNs by proposing an on-chip DONN architecture based on an integrated one-dimensional (1D) dielectric metasurface. The 1D dielectric metasurface consists of a series of silicon slots filled with silicon dioxide; it represents the hidden layer (HL) in ...
On-chip optical convolutional neural networks. 2018. ArXiv:1808.03303 17 Mahjoubfar A, Churkin D V, Barland S, et al. Time stretch and its applications. Nat Photon, 2017, 11: 341–351 18 Ng W, Rockwood T D, Sefler G A, et al. Demonstration of a large stretch-ratio (M = 41) ...
Programmable waveguides are essential components of integrated photonic chips. The large optical contrast between crystalline and amorphous Sb film makes it suitable for programmable optical modulation in integrated photonic chips. As illustrated in Fig.5a, a photonic convolutional neural network is proposed...
This paper presents a configurable convolutional neural network accelerator (CNNA) for a system-on-chip (SoC). The goal was to accelerate inference in different deep learning networks on an embedded SoC platform. The presented CNNA has a scalable architecture that uses high-level synthesis (HLS) ...
The apparatus includes an analog integrated circuit chip having a Convolutional Neural Network (CNN). The CNN includes a two-dimensional (2D) array of analog elements arranged in columns and rows and being configured to simultaneously provide a plurality of outputs by duplicating a same connection ...
www.nature.com/scientificreports OPEN Self‑controlling photonic‑on‑chip networks with deep reinforcement learning Nguyen Do1, Dung Truong1, Duy Nguyen1, Minh Hoai2,3 & Cuong Pham1,3* We present a novel photonic chip design for high bandwidth four-degree optical switches ...
英国皇家化学会出版的微型化研究领域期刊Lab on a Chip近日发表了主题为「微流控中的人工智能」(AI in Microfluidics) 的专题合辑,由本刊编委会成员东京大学Keisuke Goda 合田圭介教授、美国佐治亚理工Hang Lu教授、华中科技大学费鹏...
In the optical domain, despite advances in photonic computation15,16,17, the lack of scalable on-chip optical non-linearity and the loss of photonic devices limit the scalability of optical deep networks. Here we report an integrated end-to-end photonic deep neural network (PDNN) that performs...
A gated temporal-separable attention network for EEG-based depression recognition 2023, Computers in Biology and Medicine Citation Excerpt : Therefore, deep learning models have recently been gradually used in EEG depth feature representation. Deep learning models, such as convolutional neural networks (...