摘要
交互式人工智能系统的构建依赖于高性能人工感知系统和处理系统的开发.传统的感知处理系统传感器、存储器和处理器在空间上是分离的,感知数据信息的频繁传输和数据格式转换造成了系统的长延时与高能耗.受生物感知神经系统的启发,耦合感知、存储、计算功能的感存算一体化技术为未来感知处理领域提供了可靠的技术方案.具有感知光、压力、化学物质等能力的忆阻器是应用于感存算一体系统的理想器件.本文从器件层面综述了应用于感存算一体化系统忆阻器的研究方向和研究进展,包括视觉、触觉、嗅觉、听觉和多感官耦合类别,并在器件、工艺与集成、电路系统架构和算法方面指出现阶段的挑战与展望,为未来神经形态感存算一体化系统的发展提供可行的研究方向.
To develop future interactive artificial intelligence system, the construction of high-performance human perception system and processing system is vital. In a traditional perceptual and processing system, sensors,memory and processing units are physically separated because of their different functions and manufacture conditions, which results in frequent shuttling and format transformation of data resulting in long time delay and high energy consumption. Inspired by biological sensory nervous system, one has proposed the concept of in-sensor computing system in which the basic unit integrates sensor, storage and computing functions in the same place. In-sensor computing technology can provide a reliable technical scheme for the area of sensory processing. Artificial memristive synapse capable of sensing light, pressure, chemical substances, etc. is one type of ideal device for the application of in-sensor computing system. In this paper, at the device level, recent progress of sensory memristive synapses applied to in-sensor computing systems are reviewed, including visual,olfactory, auditory, tactile and multimode sensation. This review points out the challenge and prospect from the aspects of device, fabrication, integrated circuit system architecture and algorithms, aiming to provide possible research direction for future development of in-sensor computing system.
作者
张宇琦
王俊杰
吕子玉
韩素婷
Zhang Yu-Qi;Wang Jun-Jie;Lü Zi-Yu;Han Su-Ting(Institute of Microscale Optoelectronics,Shenzhen University,Shenzhen 518060,China;College of Electronics and Information Engineering,Shenzhen University,Shenzhen 518060,China)
出处
《物理学报》
SCIE
EI
CAS
CSCD
北大核心
2022年第14期315-331,共17页
Acta Physica Sinica
基金
国家自然科学基金(批准号:62122055,62074104,61974093)资助的课题.
关键词
感存算一体化
忆阻器
人工突触
传感器
in-sensor computing
memristors
artificial synapses
sensors
