Best practices on how to leverage AI in hardware development

Actionable ways to start from scratch or improve your current usage

Agenda

⚠️ Risks of hardware design (and how to address them using AI)

📘 Case study of how EE teams are adopting AI

👁️ What an AI design review agent looks like

🔌 Live walkthrough of DRCY, agentic AI for hardware

✨ Real-life outcomes of AI in design reviews

🧠 AI vs Deterministic Intelligence

📝 How to get new Engineering Tools Approved

🔐 Security / IT implications of using AI

❓ Live Q&A

Hosted by:

Daniel Lindmark

Electrical Engineer, Hardware DevOps Lead

Daniel Lindmark has been designing and manufacturing electronics hardware for 20+ years, with a focus on tool building & process improvements to ensure the right features are designed into the product on-time and on-budget. They specialize in IoT radio and system design, instrumentation, avionics, rapid prototyping, business strategy, new product introduction (NPI) and design for manufacturability (DFM).