Results 81 to 90 of about 263,497 (176)

Optical neural networks: progress and challenges

Light: Science & Applications
AbstractArtificial intelligence has prevailed in all trades and professions due to the assistance of big data resources, advanced algorithms, and high-performance electronic hardware. However, conventional computing hardware is inefficient at implementing complex tasks, in large part because the memory and processor in its computing architecture are ...
Tingzhao Fu, Jianfa Zhang, Run Sun, Yuyao Huang, Wei Xu, Sigang Yang, Zhihong Zhu, Hongwei Chen   +7 more
openaire   +3 more sources

Optical neural network via loose neuron array and functional learning. [PDF]

Nat Commun, 2023
Huo Y, Bao H, Peng Y, Gao C, Hua W, Yang Q, Li H, Wang R, Yoon SE.   +8 more
europepmc   +1 more source

Advancements in Optical Diffraction Neural Networks

Photonics
Optical diffraction neural networks (ODNNs) represent a promising advancement in computational optics, with significant potential for applications in image classification, image reconstruction, and biomedical imaging.
Tianyu Han, Jiawei Sun, Xibin Yang
doaj   +1 more source

Terahertz compressive optical–digital neural network imaging

APL Photonics
The terahertz (THz) band has recently garnered significant attention due to its exceptional capabilities in non-invasive, non-destructive sensing and imaging applications.
Shao-Hsuan Wu, Seyed Mostafa Latifi, Chia-Wen Lin, Shang-Hua Yang   +3 more
doaj   +1 more source

Quantum-Inspired Neural Network Model of Optical Illusions

Algorithms
Ambiguous optical illusions have been a paradigmatic object of fascination, research and inspiration in arts, psychology and video games. However, accurate computational models of perception of ambiguous figures have been elusive.
Ivan S. Maksymov
doaj   +1 more source

Multiplexed orbital angular momentum beams demultiplexing using hybrid optical-electronic convolutional neural network

Communications Physics
Advancements in optical communications have increasingly focused on leveraging spatial-structured beams such as orbital angular momentum (OAM) beams for high-capacity data transmission.
Jiachi Ye, Haoyan Kang, Qian Cai, Zibo Hu, Maria Solyanik-Gorgone, Hao Wang, Elham Heidari, Chandraman Patil, Mohammad-Ali Miri, Navid Asadizanjani, Volker Sorger, Hamed Dalir   +11 more
doaj   +1 more source

Genetically Programmable Optical Random Neural Networks

Abstract Today, machine learning tools, particularly artificial neural networks, have become crucial for diverse applications. However, current digital computing tools to train and deploy artificial neural networks often struggle with massive data sizes and high power consumptions.
Ugur Tegin, Bora Carpinlioglu, Bahrem Serhat Danis   +2 more
openaire   +1 more source

A spiking photonic neural network of 40 000 neurons, trained with latency and rank-order coding for leveraging sparsity

Neuromorphic Computing and Engineering
Spiking neural networks (SNNs) are neuromorphic systems that emulate certain aspects of biological neural tissue, offering potential advantages in energy efficiency and speed by for example leveraging sparsity.
Ria Talukder, Anas Skalli, Xavier Porte, Simon Thorpe, Daniel Brunner   +4 more
doaj   +1 more source

Reconfigurable Magneto-Optoelectronic Devices for Multidimensional Optical Neural Network. [PDF]

Small Sci
He H, Cheng Y, Zhu W, Sun J, Sun J, Wang T, Song C, Pan F, Zhang J, Wang Y.   +9 more
europepmc   +1 more source

MediONN: an integrated photonic chip optical neural network for deep learning-based semantic segmentation in early detection of pancreatic cancer. [PDF]

Biomed Opt Express
Yang CJ, Zhu H, Ning S, Gu J, Feng C, Pan DZ, Chen RT.   +6 more
europepmc   +1 more source