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Post-silicon nano-electronic device and its application in brain-inspired chips.

Yi Lv1,2, Houpeng Chen1,2,3, Qian Wang1

  • 1State Key Laboratory of Functional Materials for Informatics, Laboratory of Nanotechnology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China.

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Summary

Brain-inspired computing, utilizing memristive devices as artificial synapses, offers a high-performance, energy-efficient alternative to traditional architectures. This survey explores post-silicon nano-electronic devices for next-generation brain-inspired chips.

Keywords:
brain-inspired chipsneuronphase change memorypost-silicon nano-electronic deviceresistive memorysynapse

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Area of Science:

  • Computer Engineering
  • Materials Science
  • Artificial Intelligence

Background:

  • Traditional Von Neumann architecture faces limitations like the 'memory wall' and 'power wall' due to big data demands.
  • Brain-inspired computing offers a novel architecture for high energy efficiency and real-time AI performance.
  • Memristive devices are key components for creating artificial synapses in neuromorphic computing.

Purpose of the Study:

  • To survey post-silicon nano-electronic devices and their application in brain-inspired chips.
  • To review current analog and digital brain-inspired chips.
  • To analyze the research progress and future prospects of post-silicon devices in neuromorphic computing.

Main Methods:

  • Review of neural network development and existing brain-inspired chip designs.
  • Analysis of various post-silicon nano-electronic devices.
  • Survey of research progress in constructing brain-inspired chips using these devices.

Main Results:

  • Identified limitations of traditional computing architectures.
  • Detailed the design principles of brain-inspired chips using post-silicon nano-electronic devices.
  • Expounded on the research progress of constructing brain-inspired chips using post-silicon nano-electronic devices.

Conclusions:

  • Post-silicon nano-electronic devices are crucial for advancing brain-inspired computing.
  • Future research should focus on leveraging these devices for next-generation neuromorphic chips.
  • Brain-inspired chips offer a promising solution to overcome current computing bottlenecks.