The 2nd IEEE International Conference on LLM-Aided Design (LAD)
July 30–31, 2026 | Stanford University, Stanford, CA, USA
https://iclad.ai/

The 2026 IEEE International Conference on LLM-Aided Design (LAD) focuses on how Large Language Models (LLMs) can transform the design of circuits, software, and computing systems by improving quality, productivity, robustness, and cost. As the premier international conference dedicated to LLM-aided design, LAD brings together leading researchers and practitioners from academia and industry to present the latest advances in AI-driven design automation, software development, verification, optimization, benchmarking, datasets, and open-source tools.

Early registration ends July 19. Register at: https://iclad.ai/registration 

This year’s program features research on agentic optimization, inference-time scaling methods, and a broad range of advances in LLM-aided design automation, software development, EDA, verification, datasets, benchmarks, and emerging applications.

Program: https://iclad.ai/program 

Keynote

Invited Speakers

The conference also features two panel discussions bringing together experts from Google, Qualcomm, Synopsys, Cadence, MediaTek, Cognichip, Ricursive, Stanford, NYU, and ASU to discuss the future of LLMs and AI agents in electronic design automation.

In conjunction with the conference, the ICLAD-DAC 2026 GenAI Chip Hackathon will showcase the latest advances in applying Generative AI to chip design challenges across the RTL-to-GDSII flow. More information is available at https://iclad.ai/hackathon.