Results 1 to 10 of about 370,968 (321)
A study of electronic and transport properties of CsSnBr3: A first principle study [PDF]
مجله علوم و فنون هستهای, 2023 CsSnBr3 nanocrystals are better than other lead-free perovskites because of their ease and low-cost synthesis, long-term function, and good stability. It is a suitable selection for use in tandem photodetectors.
S. Nazari +3 more
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Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey [PDF]
ACM Computing Surveys, 2022 Deep Neural Networks (DNNs) are very popular because of their high performance in various cognitive tasks in Machine Learning (ML). Recent advancements in DNNs have brought levels beyond human accuracy in many tasks, but at the cost of high computational
Giorgos Armeniakos +3 more
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Analysis of Irradiation Induced Defect Clusterization for Zr-1%Nb Alloy Using Atomistic Simulation [PDF]
Journal of Nuclear Research and Applications, 2023 Nuclear-grade zirconium alloys properties are very similar to those of pure zirconium (Zr), because in most cases they contain more than 95% of Zr atoms. They have extensive application in nuclear industry, especially in fuel cladding. Lattice properties
M. R. Basaadat, M. Payami, S. Sheykhi
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Favorable experimental conditions for differential cross-section measurement of PIGE reactions using the van de graaff accelerator of tehran [PDF]
مجله علوم و فنون هستهای, 2021 The present research aims to measure the physical parameters affecting the differential cross-sections of PIGE reactions in the 45˚R beamline of the Van de Graaff accelerator.
A. Jokar, O. Kakuee, M. Lamehi-Rachti
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An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks [PDF]
IEEE International Symposium on Workload Characterization, 2021 Edge TPUs are a domain of accelerators for low-power, edge devices and are widely used in various Google products such as Coral and Pixel devices. In this paper, we first discuss the major microarchitectural details of Edge TPUs.
A. Yazdanbakhsh +4 more
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CoSA: Scheduling by Constrained Optimization for Spatial Accelerators [PDF]
International Symposium on Computer Architecture, 2021 Recent advances in Deep Neural Networks (DNNs) have led to active development of specialized DNN accelerators, many of which feature a large number of processing elements laid out spatially, together with a multi-level memory hierarchy and flexible ...
Qijing Huang +7 more
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Applied Sciences, 2021 The electro-optical process is a popular method for terahertz radiation detection. Detectors based on the electro-optical process have large bandwidth, and the signal-to-noise ratio (SNR) is relatively high.
Adnan Haj Yahya +4 more
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Applied Sciences, 2021 Generally, glow-discharge detectors (GDD), acting on miniature neon indicator lamps, and Schottky diode detectors serve as efficient, fast, and room-temperature millimeter wave (MMW)/THz detectors.
Adnan Haj Yahya +4 more
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DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-Chip Training [PDF]
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2020 DNN+NeuroSim is an integrated framework to benchmark compute-in-memory (CIM) accelerators for deep neural networks, with hierarchical design options from device-level, to circuit level and up to algorithm level. A python wrapper is developed to interface
Xiaochen Peng +4 more
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FPGA-Based Accelerators of Deep Learning Networks for Learning and Classification: A Review [PDF]
IEEE Access, 2019 Due to recent advances in digital technologies, and availability of credible data, an area of artificial intelligence, deep learning, has emerged and has demonstrated its ability and effectiveness in solving complex learning problems not possible before.
Ahmad Shawahna, S. M. Sait, A. El-Maleh
semanticscholar +1 more source