Emerging Technologies

All posts under tag "Emerging Technologies"

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Training DNN IoT Applications for Deployment On Analog NVM Crossbars

📝 Original Info Title: Training DNN IoT Applications for Deployment On Analog NVM Crossbars ArXiv ID: 1910.13850 Date: 2020-10-19 Authors: Fernando Garcia-Redondo, Shidhartha Das, Glen Rosendale 📝 Abstract A trend towards energy-efficiency, security …

October 19, 2020

Statistics Emerging Technologies Machine Learning Computer Science

Function Maximization with Dynamic Quantum Search

📝 Original Info Title: Function Maximization with Dynamic Quantum Search ArXiv ID: 1902.00445 Date: 2020-06-09 Authors: Charles Moussa, Henri Calandra and Travis S. Humble 📝 Abstract Finding the maximum value of a function in a dynamic model plays an …

June 09, 2020

Emerging Technologies Computer Science Quantum Physics

Utilizing Neurons for Digital Logic Circuits: A Molecular Communications Analysis

📝 Original Info Title: Utilizing Neurons for Digital Logic Circuits: A Molecular Communications Analysis ArXiv ID: 1909.02833 Date: 2020-03-31 Authors: Geoflly L. Adonias, Anastasia Yastrebova, Michael Taynnan Barros, Yevgeni Koucheryavy, Frances …

March 31, 2020

Quantitative Biology Analysis Emerging Technologies Computer Science

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Channel Characterization for 1D Molecular Communication with Two Absorbing Receivers

📝 Original Info Title: Channel Characterization for 1D Molecular Communication with Two Absorbing Receivers ArXiv ID: 1911.00142 Date: 2020-03-24 Authors: Xinyu Huang, Yuting Fang, Adam Noel, Nan Yang 📝 Abstract This letter develops a one-dimensional …

March 24, 2020

Emerging Technologies Computer Science

Survey on STT-MRAM Testing: Failure Mechanisms, Fault Models, and Tests

📝 Original Info Title: Survey on STT-MRAM Testing: Failure Mechanisms, Fault Models, and Tests ArXiv ID: 2001.05463 Date: 2020-01-16 Authors: Lizhou Wu, Mottaqiallah Taouil, Siddharth Rao, Erik Jan Marinissen, Said Hamdioui 📝 Abstract As one of the …

January 16, 2020

Emerging Technologies Computer Science Model

Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip

📝 Original Info Title: Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip ArXiv ID: 1911.10741 Date: 2019-12-02 Authors: Bo Wang, Jun Zhou, Weng-Fai Wong, and Li-Shiuan Peh 📝 Abstract The next …

December 02, 2019

Hardware Architecture Emerging Technologies Computer Science Neural Computing Network

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Emerging Technologies

Training DNN IoT Applications for Deployment On Analog NVM Crossbars

Function Maximization with Dynamic Quantum Search

Utilizing Neurons for Digital Logic Circuits: A Molecular Communications Analysis

Channel Characterization for 1D Molecular Communication with Two Absorbing Receivers

Survey on STT-MRAM Testing: Failure Mechanisms, Fault Models, and Tests

Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip

< Category Statistics (Total: 1595) >

Table of Contents

Table of Contents

Training DNN IoT Applications for Deployment On Analog NVM Crossbars

Function Maximization with Dynamic Quantum Search

Utilizing Neurons for Digital Logic Circuits: A Molecular Communications Analysis

Channel Characterization for 1D Molecular Communication with Two Absorbing Receivers

Survey on STT-MRAM Testing: Failure Mechanisms, Fault Models, and Tests

Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip

< Category Statistics (Total: 1595) >

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