Speaker: Dr. Lan

Rebecca Lan, Chairman of Foohu Technology, used to worked in Intel, PDF Solutions (a NASDAQ-listed company in United States, a world-renowned EDA manufacturer), Empyrean;

She has led the software development department of PDF Solutions China, created the big data team, led the company's cross-node new software product definition, and participated in the project implementation of IBM/GF/CXMC/HS as the main project leader.

With 20 years of experience in the semiconductor industry and EDA software industry, she is familiar with the entire semiconductor industry chain and has a deep foundation in the definition of software products.

 

Subject: Emerging Trends of Analog IC Design Automation in the Era of AI Transformation

 

Abstract: 
Traditional analog chip design heavily relies on engineer experience and manual iteration. Unstandardized parameter definitions, complex design constraints and extensive manual operations significantly limit R&D efficiency and hinder the mass production deployment of advanced processes.

In recent years, generative AI technologies have brought disruptive changes to various industries and are reshaping the paradigm of analog design automation. This presentation focuses on the latest trends of AI-empowered analog design automation. It elaborates on core technologies including multi-Agent collaborative design, autonomous circuit reasoning, automatic parameter optimization and automated layout generation, explaining how these innovations break through the bottlenecks of manual design and rule-based EDA tools, and substantially boost overall analog design efficiency.

Meanwhile, this speech highlights the key challenges of AI model training and deployment in analog scenarios, including unstandardized design data, widespread data silos, the scarcity of high-quality labeled datasets, and the lack of systematic verification frameworks for industrial AI implementation.

Accordingly, it summarizes practical and actionable paths for enterprises to accelerate AI adoption in analog design. Combined with cutting-edge industry progress, it also prospects the future of Agent-driven end-to-end autonomous design, providing reliable implementation guidance for the intelligent transformation of analog chip R&D.

 

 

Target Audience: All engineers & managers

Speaker: Jingle Zhang

Jingxiao Zhang, Co-founder and Vice President of Business Development at Foohu Technology，used to worked in PDF Solutions  (a NASDAQ-listed company in United States, a world-renowned EDA manufacturer)，serving as Head of Global Data Center, participated in data integration project implementations at major global FAB facilities.
With 20 years of experience in the semiconductor technology industry, skillful in EDA tool development, EDA marketing and customized project deployment.

 

Subject: Foohu SAGE platform: Customized AI agent for  Analog Chip Design

 

Abstract: 
Traditional analog chip design is highly experience-dependent and scenario-sensitive, making standardized and large-scale intelligent automation extremely challenging.
Dedicated to AI-driven EDA automation for analog design, Foohu introduces the SAGE platform, a customized AI agent system serving as an intelligent brain for modern analog chip design.
Built with a universal intelligent agent framework, the SAGE platform delivers baseline design capabilities applicable to general analog scenarios.
Through secondary training and fine-tuning with clients’ historical design data on-site, it integrates exclusive customized logic to adapt to clients’ unique products, process specifications and design habits, lifting overall design performance from general baseline level to high-standard industrial level.
This presentation focuses on the core architecture and innovative value of the SAGE customized AI agent, demonstrates the complete workflow of client-oriented personalized training and scenario-based adaptive optimization, and illustrates how the platform solves the long-standing problem of poor scenario adaptability of general AI EDA tools.
It further highlights how SAGE enables scalable, customizable intelligent deployment across diverse products and processes, providing a reliable industrial-grade intelligent solution for the autonomous upgrading of analog chip design

 

 

Target Audience: All engineers & managers