[HTML][HTML] Photonic neural networks and optics-informed deep learning fundamentals
The recent explosive compute growth, mainly fueled by the boost of artificial intelligence (AI)
and deep neural networks (DNNs), is currently instigating the demand for a novel computing …
and deep neural networks (DNNs), is currently instigating the demand for a novel computing …
Orthogonal Thermal Noise and Transmission Signals: A New Coherent Perfect Absorption's Feature
Coherent perfect absorption (CPA) is an interference process associated with the zeros of
the scattering matrix of interest for optical computing, data processing, and sensing …
the scattering matrix of interest for optical computing, data processing, and sensing …
Scaling photonic neural networks: A silicon photonic GeMM leveraging a Time-Space multiplexed Xbar
S Kovaios, I Roumpos, M Moralis-Pegios… - Journal of Lightwave …, 2024 - ieeexplore.ieee.org
We demonstrate a silicon photonic Xbar-based general matrix multiplier (Xbar GeMM) for
optical neural network (NN) applications, utilizing a hybrid time-space multiplexing scheme …
optical neural network (NN) applications, utilizing a hybrid time-space multiplexing scheme …
Optical Spiking Neurons Enable High-Speed and Energy-Efficient Optical Neural Networks
Optical neural networks (ONNs) perform extensive computations using photons instead of
electrons, resulting in passively energy-efficient and low-latency computing. Among various …
electrons, resulting in passively energy-efficient and low-latency computing. Among various …
A TeraFLOP Photonic Matrix Multiplier using Time-Space-Wavelength Multiplexed AWGR-based Architectures
A TeraFLOP Photonic Matrix Multiplier using Time-Space-Wavelength Multiplexed AWGR-based
Architectures Page 1 A TeraFLOP Photonic Matrix Multiplier using Time-SpaceWavelength …
Architectures Page 1 A TeraFLOP Photonic Matrix Multiplier using Time-SpaceWavelength …
Waveguide-multiplexed photonic matrix-vector multiplication processor using multiport photodetectors
R Tang, M Okano, C Zhang, K Toprasertpong… - arXiv preprint arXiv …, 2024 - arxiv.org
The slowing down of Moore's law has driven the development of application-specific
processors for deep learning. Analog photonic processors offer a promising solution for …
processors for deep learning. Analog photonic processors offer a promising solution for …
Ultrahigh-speed thin-film lithium niobate optical coherent receiver
X Xie, C Wei, X He, Y Chen, C Wang, J Sun… - arXiv preprint arXiv …, 2024 - arxiv.org
The rapid advancement of the thin-film lithium niobate platform has established it as a
premier choice for high-performance photonics integration. High-speed optical coherent …
premier choice for high-performance photonics integration. High-speed optical coherent …
Optics-informed Neural Networks: Bridging Deep Learning with Photonic Accelerators
Optics-informed Neural Networks: Bridging Deep Learning with Photonic Accelerators Page 1
Optics-informed Neural Networks: Bridging Deep Learning with Photonic Accelerators M …
Optics-informed Neural Networks: Bridging Deep Learning with Photonic Accelerators M …
20 GHz Silicon Integrated Optical Ternary Content Addressable Memory (CAM) Cell
20 GHz Silicon Integrated Optical Ternary Content Addressable Memory (CAM) Cell Page 1 20
GHz Silicon Integrated Optical Ternary Content Addressable Memory (CAM) Cell George …
GHz Silicon Integrated Optical Ternary Content Addressable Memory (CAM) Cell George …
Optics-informed neural networks towards accelerating linear operations
A Tsakyridis, M Moralis-Pegios… - Optical …, 2024 - spiedigitallibrary.org
The recent explosive compute growth, mainly fueled by the boost of artificial intelligence (AI)
and deep neural networks (DNNs), is currently instigating the demand for a novel computing …
and deep neural networks (DNNs), is currently instigating the demand for a novel computing …