Samsung-Siemens: How to leverage LLMs, MCP and AI Agents in Aprisa to improve productivity in digital implementation
The era of AI automation is here, and it is increasingly becoming a part of our daily productivity.
The semiconductor industry, however, requires a more focused approach on how these technologies are developed, deployed and utilized, as engineers have many varied and increasingly complex requirements related to their types of designs, their manufacturing technologies, and their time-to-market.
At the same time, AI technologies in digital implementation must leap from current workflows that require scripts, studying manuals, doing searches, filing tickets, and in general, engineering-expert interventions that are no longer scalable, as design functionality and complexity grow exponentially.
This presentation demonstrates how Aprisa is aiming to address those challenges with natural language interactions to drive the tool, and MCP entry points to the technology that allow designers to use the applications that they are most familiar with. In addition, the development of AI agents helps interpret user intent, autonomously select tools, construct workflows, and deliver complete results with minimal human input. This presentation features Samsung Memory’s evolving vision for Hyper Automation, an advanced automation paradigm that leverages generative AI and agentic systems, to dramatically accelerate and simplify custom memory design.
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Hyojin Choi
Principal Engineer
Hyojin Choi is a Principal Engineer at Samsung Electronics Memory Division, working on AI- and ML-driven design automation for memory devices such as HBM, DRAM, and NAND Flash. He develops Agentic AI in-house tools, Generative AI EDA solutions, and scalable infrastructures. He holds a B.S. and Ph.D. in Electrical Engineering and Computer Science from Seoul National University, Korea.
Janet Attar
Principal Product Manager
Janet Attar is Principal Product Manager at Siemens EDA for the Aprisa RTL-to-GDS digital implementation solution, including responsibility for Aprisa AI planning and development. Prior to Siemens, she was a Staff Applications Engineer at Cadence, where she worked with customers to develop silicon chips for consumer electronics, and a Senior Physical Design Engineer for International Rectifier (now Infineon), where she worked on digital controllers. Janet holds a B.Eng in Electrical Engineering from Carleton University.