[BK세미나]8/14(수)11:00 이정민 박사(USC) "HfZrO-based Synaptic Resistor Circuit for Neuromorphic Computing"

기계공학부 구성원들의 많은 관심과 참여 부탁드립니다.

▣ 주 제: HfZrO-based Synaptic Resistor Circuit for Neuromorphic Computing

▣ 연 사: 이정민 박사

▣ 소 속: University of Southern California (USC)

▣ 일 시: 2024. 8. 14.(수) 11:00

▣ 장 소: 제1공학관 A685호

▣ 초 청: 김경식 교수

▣ 초 록

Within its tight power budget of 20 W, the human brain effortlessly processes a huge volume of information. The empirical observations on the brain revealed its massively parallel synaptic connection among neurons and their local interactions, which is believed to be one of the origins of its exceptional ability to infer and learn. Inspired by the brain’s unparalleled efficiency and adaptability, neuromorphic computing has been introduced to emulate the neurobiological circuits of the brain to develop advanced artificial intelligence systems. To achieve this, it is crucial to develop novel electronic devices, particularly those capable of implementing synaptic plasticity with minimal power consumption. This work introduces a synaptic resistor based on HfZrO ferroelectric material, offering stable multi-level, non-volatile memory. Utilizing its inherent learning rules, a circuit of HfZrO-based synaptic resistors demonstrated real-time learning capabilities by navigating a drone through tree obstacles and erratic wind conditions in a simulated environment. Furthermore, an associative memory circuit based on synaptic resistors was proposed and employed to classify the MNIST handwritten dataset, illustrating its general applicability to AI and machine learning tasks.