The dept. of Physics Colloquium: Emerging Artificial Synapse for Learning- and Energy-Efficient Neuromorphic System
- 2019-04-16
The department of Physics will hold the following colloquium.
Title: Emerging Artificial Synapse for Learning- and Energy-Efficient Neuromorphic System
Speaker: Prof. Gun-uk WANG (KU-KIST Graduate School, ‘01 alumnus)
Date & Time: April. 17. (Wed.) 2019 4:30 PM
Place: Natural Science 1, Room No. 31214
Abstract: For sustainable advancements in electronics technology, the field of neuromorphic electronics; i.e.,
electronics that imitate the principle behind biological synapses with a high degree of parallelism has
recently emerged as a promising candidate for novel computing technologies. The first step toward
realizing a massively parallel neuromorphic system is to develop an artificial synapse capable of
emulating diverse synaptic functionality, such as short- and long-term plasticity, with ultralow power
consumption and robust controllability. In this talk, as a first part, I will present the general introduction
of neuromorphic hardware technology in terms of motivation and device requirements of artificial
synapse toward the implementation of a fully neuromorphic computers. As a second part, I will briefly
introduce our recent approaches and achievements for the neuromorphic device technology using
diverse functional materials such as nanoporous oxide-, organic-, 2D-based materials on the advanced
device architectures.