首页|Advances in neuromorphic computing:Expanding horizons for AI development through novel artificial neurons and in-sensor computing

Advances in neuromorphic computing:Expanding horizons for AI development through novel artificial neurons and in-sensor computing

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AI development has brought great success to upgrading the information age.At the same time,the large-scale artificial neural network for building AI systems is thirsty for computing power,which is barely satisfied by the conventional comput-ing hardware.In the post-Moore era,the increase in computing power brought about by the size reduction of CMOS in very large-scale integrated circuits(VLSIC)is challenging to meet the growing demand for AI computing power.To address the issue,technical approaches like neuromorphic computing attract great attention because of their feature of breaking Von-Neumann architecture,and dealing with AI algorithms much more parallelly and energy efficiently.Inspired by the human neural network architecture,neuromorphic computing hardware is brought to life based on novel artificial neurons constructed by new materials or devices.Although it is relatively difficult to deploy a training process in the neuromorphic architecture like spiking neural network(SNN),the development in this field has incubated promising technologies like in-sensor computing,which brings new opportunities for multidisciplinary research,including the field of optoelectronic materials and devices,artificial neural networks,and microelectronics integration technology.The vision chips based on the architectures could reduce unnecessary data transfer and realize fast and energy-efficient visual cognitive processing.This paper reviews firstly the architectures and algorithms of SNN,and artificial neuron devices supporting neuromorphic computing,then the recent progress of in-sensor computing vision chips,which all will promote the development of AI.

neuromorphic computingspiking neural network(SNN)in-sensor computingartificial intelli-gence

杨玉波、赵吉哲、刘胤洁、华夏扬、王天睿、郑纪元、郝智彪、熊兵、孙长征、韩彦军、王健、李洪涛、汪莱、罗毅

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Department of Electronic Engineering,Tsinghua University,Beijing 100084,China

Beijing National Research Center for Information Science and Technology,Tsinghua University,Beijing 100084,China

国家重点研发计划国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金科技部项目科技部项目Collaborative Innovation Center of Solid-State Lighting and Energy-Saving Electronics and Tsinghua University Initiative Sci

2021YFA07164006222540562150027619740806199144361975093619278116187510462175126622350112021ZD01099002021ZD0109903

2024

10.1088/1674-1056/ad1c58

中国物理B(英文版)
中国物理学会和中国科学院物理研究所

中国物理B(英文版)

CSTPCDEI
影响因子：0.995
ISSN：1674-1056
年,卷(期)：2024.33(3)
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