TIGP (SNHCC) -- Analog Integrated Circuits for Intelligent Edge Computing
- LecturerProf. Sheng-Yu Peng (Department of Electrical Engineering, NTUST)
Host: TIGP (SNHCC) - Time2025-05-19 (Mon.) 14:00 ~ 16:00
- LocationAuditorium 106 at IIS new Building
Abstract
In the evolving landscape of intelligent computing, the demand for efficient processing at the edge of networks is increasing, driven by the rapid proliferation of connected devices and the need for real-time data processing. This presentation by Prof. Sheng-Yu Peng explores significant advancements in analog integrated circuits specifically designed for intelligent edge applications. The focus is on overcoming traditional digital processing limitations by employing innovative architectures and methodologies that enhance performance, efficiency, and scalability in edge computing systems. Prof. Peng offers invaluable insights into the advancements in analog integrated circuits tailored for edge applications. By focusing on scalable architectures such as the reconfigurable cognitive computation matrix (RCCM) and analog gated recurrent unit (AGRU), the discussion illuminates a path forward for enhancing intelligent computing systems, addressing current limitations, and laying the groundwork for a future characterized by efficient, high-performance data processing at the edge.