KAIST workshop to showcase AI agents for HBM design automation

The Korea Advanced Institute of Science and Technology (KAIST) will showcase on Friday artificial intelligence (AI) agents capable of automating high-bandwidth memory (HBM) design, offering a glimpse into the future of semiconductor research. KAIST's HBM Design and Research Automation Workshop Using the OpenClaw AI Agent will run from 8 a.m. to noon and highlight practical applications of the laboratory's in-house OpenClaw AI Agent platform. Graduate student researchers from the laboratory, led by KAIST electrical engineering professor Kim Joung-ho, will demonstrate practical applications for these AI agents. Their presentations will focus on automating chip design and simulation, optimizing document management and streamlining semiconductor research workflows. The first session, from 8 a.m. to 10 a.m., will introduce the OpenClaw AI Agent platform and its use with the Model Context Protocol (MCP). Presentations will cover AI agents for package design and analysis using KiCad MCP, semiconductor power delivery network simulation, eye diagram dataset construction and equalizer optimization