Results 11 to 20 of about 852,410 (222)
Spiking neural networks for computer vision [PDF]
Interface Focus, 2018 State-of-the-art computer vision systems use frame-based cameras that sample the visual scene as a series of high-resolution images. These are then processed using convolutional neural networks using neurons with continuous outputs. Biological vision systems use a quite different approach, where the eyes (cameras) sample the visual scene continuously ...
Michael Hopkins +3 more
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AI-Track-tive: open-source software for automated recognition and counting of surface semi-tracks using computer vision (artificial intelligence) [PDF]
Geochronology, 2021 A new method for automatic counting of etched fission tracks in minerals is described and presented in this article. Artificial intelligence techniques such as deep neural networks and computer vision were trained to detect fission surface semi-tracks on
S. Nachtergaele, J. De Grave
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Quantum Neural Network for Quantum Neural Computing
Research, 2023 Neural networks have achieved impressive breakthroughs in both industry and academia. How to effectively develop neural networks on quantum computing devices is a challenging open problem. Here, we propose a new quantum neural network model for quantum neural computing using (classically controlled) single-qubit operations and measurements on real ...
Min-Gang Zhou +5 more
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A New Method on Kerma Estimation in Mammography Screenings [PDF]
Journal of Biomedical Physics and Engineering, 2021 Background: Given the extensive use and preferred diagnostic method in common mammography tests for screening and diagnosis of breast cancer, there is concern about the increased dose absorbed by the patient due to the sensitivity of the breast tissue ...
Mohammad Nabipour +4 more
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An Interactive Visualization for Feature Localization in Deep Neural Networks
Frontiers in Artificial Intelligence, 2020 Deep artificial neural networks have become the go-to method for many machine learning tasks. In the field of computer vision, deep convolutional neural networks achieve state-of-the-art performance for tasks such as classification, object detection, or ...
Martin Zurowietz, Tim W. Nattkemper
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Neural computing with coherent laser networks
Nanophotonics, 2023 AbstractWe show that coherent laser networks (CLNs) exhibit emergent neural computing capabilities. The proposed scheme is built on harnessing the collective behavior of laser networks for storing a number of phase patterns as stable fixed points of the governing dynamical equations and retrieving such patterns through proper excitation conditions ...
Mohammad-Ali Miri, Vinod Menon
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Transition between individually different and common features in skilled drumming movements
Frontiers in Sports and Active Living, 2022 Why do professional athletes and musicians exhibit individually different motion patterns? For example, baseball pitchers generate various pitching forms, e.g., variable wind-up, cocking, and follow-through forms.
Ken Takiyama +2 more
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DETECTION OF ATTACKS ON A COMPUTER NETWORK BASED ON THE USE OF NEURAL NETWORKS COMPLEX
Nauka ta progres transportu, 2020 Purpose. The article is aimed at the development of a methodology for detecting attacks on a computer network. To achieve this goal the following tasks were solved: to develop a methodology for detecting attacks on a computer network based on an ensemble
I. V. Zhukovyts'kyy +3 more
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Reconfigurable Computation in Spiking Neural Networks [PDF]
IEEE Access, 2020 The computation of rank ordering plays a fundamental role in cognitive tasks and offers a basic building block for computing arbitrary digital functions. Spiking neural networks have been demonstrated to be capable of identifying the largest k out of N analog input signals through their collective nonlinear dynamics.
Fabio Schittler Neves, Marc Timme
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Benchmarking Neural Networks For Quantum Computations [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2019 Revised substantially, and resubmitted to IEEE Transactions on Neural Networks and Learning ...
Nam H. Nguyen +3 more
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