神经形态计算硬件的最新趋势:英特尔的神经形态系统视角

Yoon Seok Yang, Yongtae Kim
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引用次数: 16

摘要

神经形态计算已经被研究来实现受人类大脑启发的功能,如低功耗,细粒度并行处理,以及超越标准冯·诺伊曼处理器限制的实时学习。本文介绍了英特尔公司的Loihi神经形态研究芯片及其硬件系统,并了解了它们在实际研究领域中的应用和使用情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent Trend of Neuromorphic Computing Hardware: Intel's Neuromorphic System Perspective
Neuromorphic computing has been studied to implement functions inspired by the human brain such as low power, fine-grained parallel processing, and real-time learning beyond the limitations seen by a standard von Neumann processor. In this paper, Intel's Loihi neuromorphic research chip and its hardware systems are introduced and find out how they are applied and used in actual research fields.
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