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Learn about an innovative semiconductor analysis system in this 21-minute tech summit presentation that demonstrates how SK engineers tackle complex challenges in semiconductor manufacturing. Explore how modern semiconductor processes, comparable to intricate architectural structures, require precise control of structural patterns and relationships between different layers to prevent defects. Discover a groundbreaking platform that combines vision AI and machine learning technologies to analyze semiconductor structures by repurposing existing measurement images, allowing for structural decomposition and optimization analysis. Gain insights from SK Hynix researcher Tae-Kwon Ji, who brings over a decade of Silicon Valley experience and expertise in semiconductor structure control, machine learning, and deep learning applications to showcase an All-in-one analysis system that not only improves ESG value but also enhances semiconductor production efficiency.
Syllabus
[SK TECH SUMMIT 2022] 반도체 구조가 한눈에 보인다: All-in-one 분석 시스템 구축
Taught by
SK AI SUMMIT 2024