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Hardware Implementation of Discrete Stochastic Arithmetic
Numerical Algorithms, 2004In this paper we present a hardware implementation of the Discrete Stochastic Arithmetic (DSA) which is based on CESTAC (Controle et Estimation STochastique des Arrondis de Calculs), a method of controlling round-off errors in floating-point scientific computations.
Chotin-Avot, Roselyne, Mehrez, Habib
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Hardware implementation of the neural gas
Proceedings of International Conference on Neural Networks (ICNN'97), 2002The paper presents a hardware implementation of the neural gas (NGAS) algorithm. The NGAS is based on vector quantization and is applied to very low bit-rate video compression. The algorithm exhibits interesting properties that can be exploited in an HW realization. The modular structure provides inherent parallelism and can therefore be regarded as an
Ancona F +2 more
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When Neural Architecture Search Meets Hardware Implementation: from Hardware Awareness to Co-Design
IEEE Computer Society Annual Symposium on VLSI, 2019Neural Architecture Search (NAS), that automatically identifies the best network architecture, is a promising technique to respond to the ever-growing demand for application-specific Artificial Intelligence (AI).
Xinyi Zhang +3 more
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Hardware Design and Implementation
2017The chapter introduces the hardware design of an automated system for prediction and detection of cardiac arrhythmias especially VT/VF. The system’s architecture is presented, the preprocessing stage is explained, then the system control scheme is introduced, and next the specifics for the realization of the QRS complex, the P and T wave signal ...
Hani Saleh +3 more
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Hardware Implementation of Sigmoid Activation Functions using FPGA
2019 IEEE 15th International Conference on the Experience of Designing and Application of CAD Systems (CADSM), 2019The methods of approximation of the sigmoid function are developed and modified, using piecewise linear approximation and approximation by a second order polynomial. The estimation of the accuracy of approximation by these methods of sigmoid function and
I. Tsmots, O. Skorokhoda, V. Rabyk
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Hardware Implementation for Multiple Activation Functions
2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), 2019In a neural network, the activation function defines the output of that node. In this paper, we propose a novel hardware implementation for AI hardware accelerators to support three popularly used activation functions, including Hyperbolic Tangent ...
Chih-Hsiang Chang +2 more
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Hardware Implementation of Pairings
2009In this chapter the efficient hardware implementation of pairings is considered. For each of the three fields,andsuitable curves, pairing algorithms and field arithmetic architectures are presented. An example architecture for computing the ηTpairing in characteristic 2 or 3 is presented and its implementation results on a Xilinx FPGA ...
Keller Maurice +4 more
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Hardware Implementation of Finite-Field Division
Acta Applicandae Mathematicae, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Deschamps, Jean-Pierre, Sutter, Gustavo
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HARDWARE IMPLEMENTATION OF DECISION TREE ENSEMBLES
Journal of Circuits, Systems and Computers, 2013In this paper, several hardware architectures for the realization of ensembles of axis-parallel, oblique and nonlinear decision trees (DTs) are presented. Hardware architectures for the implementation of a number of ensemble combination rules are also presented.
Rastislav Struharik, Ladislav Novak
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Electronic hardware implementations of neural networks
Applied Optics, 1987This paper examines some of the present work on the development of electronic neural network hardware. In particular, the investigations currently under way at JPL on neural network hardware implementations based on custom very large scale integrated technology, novel thin film materials, and an analog-digital hybrid architecture are reviewed.
A P, Thakoor +3 more
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