대학원생 구두발표 (IV)
[O12-8]
우수논문발표상 응모자Screen-Gated Organic Transistors Enabling Tunable Sigmoid and Gaussian Activation Functions
발표자한영민 (한양대학교)
연구책임자유호천 (한양대학교)
Abstract
Tunable analog activation functions are critical for energy-efficient AI hardware. Here, we demonstrate sigmoid-like activation transistors (SA-transistor) and Gaussian-like activation transistors (GA-transistor) based on a screen-gate architecture, enabling continuous and precise control of slope, amplitude, and width at the device level. The SA-transistor improves lung MRI classification accuracy from 77% to 84%, while the GA-transistor enhances time-series forecasting performance (R²: 0.82 → 0.93). Furthermore, a hardware multilayer perceptron (MLP) incorporating these devices achieves 96.7% accuracy on the IRIS dataset, validating their effectiveness for low-power neuromorphic inference with reduced circuit complexity.