教程T1:神经形态计算-算法,设备和系统

B. Rajendran, U. Ganguly, M. Suri
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引用次数: 1

摘要

只提供摘要形式。本教程旨在概述神经形态计算领域的最新研究进展。我们将讨论大脑计算的一些基本原理,以及目前正在探索的各种应用的算法思想。然后,我们将讨论正在探索的新想法,以模仿人类大脑的核心功能特征,在面积和功率高效的纳米材料和设备系统。我们还将讨论这些技术的潜在系统级部署,以及它们如何优于传统的计算系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tutorial T1: Neuromorphic Computing - Algorithms, Devices and Systems
Summary form only given. This tutorial is aimed to present an overview on the latest research thrusts in the field of Neuromorphic Computing. We will discuss some of the fundamental principles of computation employed by the brain, and algorithmic ideas that are currently being explored for various applications. We will then discuss new ideas that are being explored to mimic the core functional features of the human brain in area and power-efficient nanoscale materials and device systems. We will also discuss potential system level deployment of such technologies and how they outperform conventional computational systems.
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