When optical microscopy meets all-optical analog computing: A brief review [PDF]
Frontiers of Physics, 2023 As a revolutionary observation tool in life science, biomedical, and material science, optical microscopy allows imaging of samples with high spatial resolution and a wide field of view.
Yi-Chang Shou, Jia-Wei Liu, Hailu Luo
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IMAC-Sim:: A Circuit-level Simulator For In-Memory Analog Computing Architectures [PDF]
ACM Great Lakes Symposium on VLSI, 2023 With the increased attention to memristive-based in-memory analog computing (IMAC) architectures as an alternative for energy-hungry computer systems for machine learning applications, a tool that enables exploring their device- and circuit-level design ...
Md Hasibul Amin +2 more
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Heterogeneous Integration of In-Memory Analog Computing Architectures with Tensor Processing Units [PDF]
ACM Great Lakes Symposium on VLSI, 2023 Tensor processing units (TPUs), specialized hardware accelerators for machine learning tasks, have shown significant performance improvements when executing convolutional layers in convolutional neural networks (CNNs).
Mohammed E. Elbtity +3 more
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Programmable wave-based analog computing machine: a metastructure that designs metastructures. [PDF]
Nat Commun, 2022 The ability to perform mathematical computations using metastructures is an emergent paradigm that carries the potential of wave-based analog computing to the realm of near-speed-of-light, low-loss, compact devices.
Tzarouchis DC, Edwards B, Engheta N.
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SpikoPoniC: A Low-Cost Spiking Neuromorphic Computer for Smart Aquaponics
Agriculture, 2023 Aquaponics is an emerging area of agricultural sciences that combines aquaculture and hydroponics in a symbiotic way to enhance crop production. A stable smart aquaponic system requires estimating the fish size in real time.
Ali Siddique +5 more
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Optoelectronic integrated circuits for analog optical computing: Development and challenge
Frontiers in Physics, 2022 Over the past 2 decades, researches in artificial neural networks (ANNs) and deep learning have flourished and enabled the applications of artificial intelligence (AI) in image recognition, natural language processing, medical image analysis, molecular ...
Yihang Dan +8 more
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The challenges of modern computing and new opportunities for optics
PhotoniX, 2021 In recent years, the explosive development of artificial intelligence implementing by artificial neural networks (ANNs) creates inconceivable demands for computing hardware.
Chong Li +4 more
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Switchable and Simultaneous Spatiotemporal Analog Computing with Computational Graphene-based Multilayers [PDF]
Carbon, 2021 Optical wave-based computing has enabled the realization of real-time information processing in both space and time domains. In the past few years, analog computing has experienced rapid development but mostly for a single function. Motivated by parallel
A. Momeni, Kasra Rouhi, R. Fleury
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Analog Computing for the 21st Century [PDF]
, 2023 Many people think of analog computing as a historic dead-end in computing. In fact, nothing could be further from the truth as analog computing - together with quantum computing - has the potential to bring computing to new levels with respect to raw ...
Ulmann, Bernd
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Dynamic Precision Analog Computing for Neural Networks [PDF]
IEEE Journal of Selected Topics in Quantum Electronics, 2021 Analog electronic and optical computing exhibit tremendous advantages over digital computing for accelerating deep learning when operations are executed at low precision.
Sahaj Garg +5 more
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