Results 241 to 250 of about 78,872 (276)

Accuracy issues for quantized analog optical computing

OSA Annual Meeting, 1993
The relatively low achievable bit accuracy of analog optical processors has been of considerable concern within the optical computing community.
Michael V. Morelli, John F. Walkup, Thomas F. Krile   +2 more
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Resonant nanophotonic structures for analog optical computing

2020 International Conference on Information Technology and Nanotechnology (ITNT), 2020
Photonics is nowadays considered as one of the scientific fields promising for the further development of computing systems. In this review, we discuss recent advances in the research and development of nanophotonic structures for analog optical computing.
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Optical analog computing devices designed by deep neural network

Optics Communications, 2020
Abstract We proposed a multilayered spatial optical differentiator designing method by use of the deep neural network (DNN). After trained for approximately 30 h, the DNN is able to predict the reflection coefficient of a 12-layer multilayer film with high fidelity (validation mean squared error × 10−4).
Yi Zhou, Rui Chen, Wenjie Chen, Rui-Pin Chen, Yungui Ma   +4 more
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High Accurate Optical Analog Computing Implemented on Optical Fractal Synthesizer

Optical Computing, 1995
In the course of exploring capabilities of optical computing, optical analog scheme is important field to be researched more actively. Optical analog computing has excellent advantages, i.e., large data capacity, large processing capability, flexibility in data representation, and so on.
Jun Tanida, Wataru Watanabe, Yoshiki Ichioka   +2 more
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Coherent Optical Analog Computer for the Evaluation of Interferograms

Journal of the Optical Society of America, 1971
A method for the Fourier transformation of one-dimensional functions, especially interferograms, with coherent light is described. The functions to be transformed are represented in the form of transparent masks with amplitude transmittance T=±1. Negative values of amplitude transmittance are realized with a phase plate.
F. Lanzi, H. J. Mager, W. Waidelich
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Distributed Computation In Neural Networks And Their Optical Analogs

SPIE Proceedings, 1985
Two paths of inquiry are now converging: 1) the understanding of how parallel computation in neural networks implements pattern recognition tasks, and 2) the exploration of the broad spectrum of multiwave interactions in nonlinear crystals. Here, we will explore down the first path to the junction, just far enough to see why the computer which finally ...
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Time-varying materials for analog optical computing

Journal of Optical Technology
Subject of study. In this study, a new class of artificial electromagnetic media, known as time-varying materials, is explored. These materials are characterized by a rapid modulation of their optical parameters on ultrashort timescales that are comparable to or shorter than the wave period. Aim of study.
Valeriya M. Levkovskaya, Anton V. Kharitonov, Sergey S. Kharintsev   +2 more
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An Analog Optical Computational Approach to RF Image Formation

2006 IEEE Aerospace Conference, 2006
RF image formation is a computationally expensive process due to the excessive amount of instantaneous RF bandwidth required to form imagery for high resolution. As a result the size weight and power of traditional devices designed to compute imagery in RF apertures is quite high. We therefore propose a method that allows us to compute RF imagery using
R.J. Bonneau, F. Haas
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Analog Optical Computing for Sustainable AI and Beyond

Optical Fiber Communication Conference (OFC) 2025
I will introduce the Analog Optical Computer, which, through co-design of applications and integrated 3D hardware, has the potential to accelerate by >100-fold machine learning tasks and real-world optimization problems, like medical imaging and financial transactions Full-text article not available; see video ...
Francesca Parmigiani, Hitesh Ballani, Grace Brennan, Burcu Canakci, Jiaqi Chu, James Clegg, Daniel Cletheroe, Fabian Falk, christos Gkantsidis, Jannes Gladrow, Kirill Kalinin, Doug Kelly, Heiner Kremer, Greg O'Shea, Lucinda Pickup, Babak Rahmani, Ant Rowstron   +16 more
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Optical Analog Feedback in Euglena-Based Neural Network Computing

2012
Using living microbial cells in computational processing is a fascinating challenge to incorporate their autonomous adaptation and exploration abilities into a physical computing algorithm [1]. When the stimulus to the cells is given as analog values, more flexible solutions would be expected in microbe-based neurocomputing [1] owing to the diversity ...
Kazunari Ozasa, Jeesoo Lee, Simon Song, Mizuo Maeda, Masahiko Hara   +4 more
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