하드웨어를 이해하는 AI 모델 최적화 기술과 그 성공사례

Learn about essential AI model optimization techniques that account for hardware components in on-device AI applications through this 22-minute conference talk from SK AI SUMMIT 2024. Explore how different hardware configurations require varying optimization approaches, presented by Myeongsu Chae, CEO of Nota AI. Discover successful case studies of hardware-aware AI model optimization and implementation strategies. Drawing from his experience collaborating with leading global AI semiconductor companies and his research background at KAIST AI Research Institute and KAIST IT Convergence Institute, Chae shares insights on advancing the vision of "AI for everywhere" through specialized optimization techniques for different hardware architectures.