Results 51 to 60 of about 7,211,078 (250)
Review of nonlinear activation functions in optical neural networks
Advanced Photonics. Recently, the rapid development of electronic neural networks (ENNs) has enabled the widespread application of artificial intelligence in fields such as computer vision, natural language processing, and autonomous systems.
Wanxin Shi +3 more
semanticscholar +1 more source
An optical neural chip for implementing complex-valued neural network
Nature Communications, 2021 Most demonstrations of optical neural networks for computing have been so far limited to real-valued frameworks. Here, the authors implement complex-valued operations in an optical neural chip that integrates input preparation, weight multiplication and ...
H. Zhang +17 more
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Optical character recognition with neural networks
Вестник КазНУ. Серия математика, механика, информатика, 2019 XXI century is the age of global automation and digitization. There is high demand for optical recognition software, including character recognition. There are different approaches in solution optical recognition problem.
Aidarbek Shalakhmetov, Sanzhar Aubakirov
doaj +1 more source
Fully forward mode training for optical neural networks
NatureOptical computing promises to improve the speed and energy efficiency of machine learning applications1–6. However, current approaches to efficiently train these models are limited by in silico emulation on digital computers.
Zhi-Wei Xue +5 more
semanticscholar +1 more source
All-optical Fourier neural network using partially coherent light
ChipOptical neural networks present distinct advantages over traditional electrical counterparts, such as accelerated data processing and reduced energy consumption.
Jianwei Qin +5 more
doaj +1 more source
Memory-less scattering imaging with ultrafast convolutional optical neural networks
Science AdvancesThe optical memory effect in complex scattering media including turbid tissue and speckle layers has been a critical foundation for macroscopic and microscopic imaging methods.
Yu-Chao Zhang +5 more
semanticscholar +1 more source
Partitionable High-Efficiency Multilayer Diffractive Optical Neural Network
Sensors, 2022 A partitionable adaptive multilayer diffractive optical neural network is constructed to address setup issues in multilayer diffractive optical neural network systems and the difficulty of flexibly changing the number of layers and input data size.
Yongji Long +5 more
doaj +1 more source
Fundamentals and recent developments of free-space optical neural networks
Journal of Applied PhysicsMachine learning with artificial neural networks has recently transformed many scientific fields by introducing new data analysis and information processing techniques.
Alexander Montes McNeil +4 more
semanticscholar +1 more source
Spatial biology in cancer epigenetics
Molecular Oncology, EarlyView.Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley +1 more source
Robust Local Cluster Neural Networks (ESANN) [PDF]
, 2006 Eickhoff R, Sitte J, Rückert U. Robust Local Cluster Neural Networks (ESANN). In: Proceedings of the 14th European Symposium on Artificial Neural Networks (ESANN).
Eickhoff, Ralf +3 more
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