전자통신동향분석 (Electronics and Telecommunications Trends)

한국전자통신연구원 (Electronics and Telecommunications Research Institute)
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차세대 뉴로모픽 하드웨어 기술 동향

Next-Generation Neuromorphic Hardware Technology

  • 발행 : 2018.12.01
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⟨ 이전 논문 다음 논문 ⟩

초록

A neuromorphic hardware that mimics biological perceptions and has a path toward human-level artificial intelligence (AI) was developed. In contrast with software-based AI using a conventional Von Neumann computer architecture, neuromorphic hardware-based AI has a power-efficient operation with simultaneous memorization and calculation, which is the operation method of the human brain. For an ideal neuromorphic device similar to the human brain, many technical huddles should be overcome; for example, new materials and structures for the synapses and neurons, an ultra-high density integration process, and neuromorphic modeling should be developed, and a better biological understanding of learning, memory, and cognition of the brain should be achieved. In this paper, studies attempting to overcome the limitations of next-generation neuromorphic hardware technologies are reviewed.

키워드

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(그림 1) 뉴로모픽 공학 연구 개념도

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(그림 2) Integrate-and-fire 뉴런 모델 블록 다이어그램과 수학적 모델

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(그림 3) 강유전체 분극 반전과 금속 이온 이동을 동시에 이용하는 멤리스터 소자의 동작 원리와 측정 결과

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(그림 4) 뉴로모픽 모델링 및 인식 성능 평가 기술

<표 1> CMOS 기반 뉴로로픽 시스템과 인체 뇌와의 성능 비교

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