The Ghost in the GDSII: AI's New Role in Physical Design

Somewhere between placement and signoff, machine learning has already slipped into the physical-design flow. It's being used for placement, congestion and timing prediction, and autonomous PPA tuning, all the way through signoff. The question is how we can verify AI-driven results before tape-out.
What the webinar covers
Silicon Patterns is hosting a free, live 90-minute session on AI's practical role across the back-end flow and how to verify AI-driven results before tape-out. The session walks through:
● Placement — where AI is already influencing decisions
● Congestion and timing prediction
● Autonomous PPA tuning
● Signoff
● How to verify AI-driven results before tape-out
The focus throughout is on trust: understanding what AI is actually doing inside your PD flow, and how to verify AI-driven results before tape-out. There will be a Q&A session at the end for questions specific to your own flow and tools.
Webinar details
Title: The Ghost in the GDSII: AI's New Role in Physical Design
Date: Tuesday, 22 September
Time: 4:00–5:30 PM IST
Format: Live webinar
Platform: Microsoft Teams
Speakers: Kiran Mallavarajula & Prasanna Kumar Thadapaneni, Silicon Patterns
Cost: Free
Recording: Shared with everyone who registers
If you work in physical design, VLSI, or CAD, and you've been wondering how much of your flow already runs on AI — and how much of it you should actually trust — this one's for you.
Register free: https://siliconpatterns.com/webinar/