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Review of the Intelligent Sensor-Memory-Control Fusion Systems

  • Yixuan Chen
  • , Xinyue Wu
  • , Junhao Shen
  • , Zepeng Huang
  • , Zhongrui Wang
  • , Liangjian Lyu
  • , Hengchang Bi
  • , Xing Wu*
  • , Guozhen Shen*
  • *Corresponding author for this work
  • East China Normal University
  • The University of Hong Kong
  • Beijing Institute of Technology

Research output: Contribution to journalReview articlepeer-review

Abstract

The ability to sense light, heat, and touch is vital for human beings, underpinning the interaction between humans and the environment. To mimic the biological perception system, the sensory system converts external light, heat, and mechanical inputs into electrical signals, then processing and storing the data in digital hardware before providing feedback. However, modern digital sensing-processing systems based on the von Neumann architecture are facing significant challenges in power consumption and latency due to the unprecedented increase in data size and algorithm complexity. A promising solution is to integrate sensors, memory, and control. Here the “state-of-the-art” fusion systems involved in the sensing of visual, olfactory, tactile, visual signals, and control is reviewed. The challenges in high performance and reliability are also discussed.

Original languageEnglish
Article number2200034
JournalAdvanced Sensor Research
Volume2
Issue number1
DOIs
Publication statusPublished - Jan 2023
Externally publishedYes

Keywords

  • actuators
  • flexible electronics
  • in-memory computing
  • intelligent systems
  • sensors

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