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An application-specific image processing array based on WSe 2 transistors with electrically switchable logic functions.

Senfeng ZengChunsen LiuXiaohe HuangZhaowu TangLiwei LiuPeng Zhou
Published in: Nature communications (2022)
With the rapid development of artificial intelligence, parallel image processing is becoming an increasingly important ability of computing hardware. To meet the requirements of various image processing tasks, the basic pixel processing unit contains multiple functional logic gates and a multiplexer, which leads to notable circuit redundancy. The pixel processing unit retains a large optimizing space to solve the area redundancy issues in parallel computing. Here, we demonstrate a pixel processing unit based on a single WSe 2 transistor that has multiple logic functions (AND and XNOR) that are electrically switchable. We further integrate these pixel processing units into a low transistor-consumption image processing array, where both image intersection and image comparison tasks can be performed. Owing to the same image processing power, the consumption of transistors in our image processing unit is less than 16% of traditional circuits.
Keyphrases
  • deep learning
  • artificial intelligence
  • machine learning
  • high resolution
  • working memory
  • high throughput
  • big data
  • mass spectrometry
  • quantum dots