[HTML][HTML] Electrically programmable phase-change photonic memory for optical neural networks with nanoseconds in situ training capability
Optical neural networks (ONNs), enabling low latency and high parallel data processing
without electromagnetic interference, have become a viable player for fast and energy …
without electromagnetic interference, have become a viable player for fast and energy …
A review of emerging trends in photonic deep learning accelerators
Deep learning has revolutionized many sectors of industry and daily life, but as application
scale increases, performing training and inference with large models on massive datasets is …
scale increases, performing training and inference with large models on massive datasets is …
Free-space optical multiplexed orbital angular momentum beam identification system using Fourier optical convolutional layer based on 4f system
Here we introduce a free-space optical communication (FSOC) system that is capable of
adjustment to alignment drift, varying atmospheric turbulent conditions of multiplexed spatial …
adjustment to alignment drift, varying atmospheric turbulent conditions of multiplexed spatial …
Photonic tensor core for machine learning: a review
N Peserico, X Ma, BJ Shastri… - Emerging Topics in …, 2022 - spiedigitallibrary.org
Photonic tensor core circuits have been widely explored as possible hardware accelerators
for the next generation of machine learning applications, due to the large bandwidth, low …
for the next generation of machine learning applications, due to the large bandwidth, low …
High-density integrated photonic tensor processing unit with a matrix multiply compiler
Abstract Machine learning and artificial intelligence (AI) is becoming a ubiquitous
technology of the looming industry-4.0 era. However, progress of adopting intelligent …
technology of the looming industry-4.0 era. However, progress of adopting intelligent …
Performance limits of phase change integrated photonics
Integration of chalcogenide phase-change material (PCM) with photonic circuits offers a
practical route of introducing nonvolatile reconfiguration—a long-missing capability in …
practical route of introducing nonvolatile reconfiguration—a long-missing capability in …
Michelson interferometric methods for full optical complex convolution
Dynamic real-time optical processing has significant potential for accelerating specific tensor
algebra. Here we present the first demonstration of simultaneous amplitude and phase …
algebra. Here we present the first demonstration of simultaneous amplitude and phase …
Power conservation version of application-specific photonic integrated circuit
In this paper, we present an improved version of an Application-Specific Photonic Integrated
Chip for solving Partial Differential Equations (PDEs). This novel chip is designed to solve …
Chip for solving Partial Differential Equations (PDEs). This novel chip is designed to solve …
High-performance optoelectronics for integrated photonic neural networks
Integrated optoelectronic devices represents a fundamental building block of hardware
accelerators for photonics neural networks. Nanophotonic electro-optic modulators and …
accelerators for photonics neural networks. Nanophotonic electro-optic modulators and …
Packaging of photonic neural network accelerators
The proliferation of machine learning and neural networks in recent years has been spurred
on by the development of deep learning models and their usefulness in a wide variety of …
on by the development of deep learning models and their usefulness in a wide variety of …