This is a DESN | FPGA Frontrunners event
Artificial Intelligence is rapidly becoming one of the most discussed developments in Electronic Design Automation (EDA). Recent industry conferences have highlighted the emergence of AI-assisted engineering workflows, copilot tools, and increasingly capable agentic AI systems that can autonomously perform complex design and verification tasks.
For the FPGA community, this raises important questions:
- Where is AI delivering genuine value today?
- Which parts of the FPGA development lifecycle benefit most?
- Are productivity gains measurable and repeatable?
- What challenges remain around trust, verification and governance?
- How will AI affect FPGA design methodologies over the next five years?
- Will RTL remain the dominant abstraction, or will new AI-assisted approaches emerge?
This TechWorks FPGA Network event aims to move beyond industry hype and focus on practical experience from engineers and organisations actively using AI within FPGA development environments.
The event will be hosted by Siemens in London and will bring together FPGA designers, verification engineers, technical leaders, end users and EDA vendors to share real-world experiences and lessons learned.
What We’re Looking For
The Steering Board is seeking presentations from organisations that have evaluated, adopted, or experimented with AI technologies within FPGA development workflows.
We are particularly interested in:
- Real project experience
- Lessons learned
- Productivity measurements
- Challenges and limitations
- Verification and trust considerations
- Future opportunities
Presentations that include both successes and failures are strongly encouraged.
The audience values technical insight and practical experience over product marketing.
While presentations from EDA vendors are welcome, preference will be given to submissions featuring customer-led case studies or joint vendor-user presentations demonstrating real-world adoption.
Requirements & Systems Engineering — AI-assisted specifications, traceability and workflows
- FPGA Design & Development — AI-assisted RTL/HLS, architecture and design optimisation
- Verification & Validation — test generation, coverage, formal verification and debug
- Implementation & Optimisation — synthesis, constraints, timing, power and resources
- Safety-Critical Applications — certification, trust, governance and AI-generated outputs
- Engineering Productivity — productivity, adoption, skills and ROI
- Future Directions — agentic workflows, human–AI collaboration and the future of FPGA design
Preferred Contributions
We would particularly welcome:
- FPGA-focused industrial case studies
- User experiences with commercial or open-source AI tools
- Joint customer and vendor presentations
- Quantitative data and measured outcomes
- Lessons learned from deployment
- Failed experiments and unexpected challenges
- Experiences from safety-critical industries
A Note from the Steering Board
Agentic AI is generating significant interest across the semiconductor industry, yet many FPGA teams are still evaluating where these technologies can deliver meaningful value.
This event seeks honest discussion and evidence-based experience from engineers working at the forefront of FPGA development. Whether your experience has been transformational, incremental, or disappointing, we want to hear from you.
The objective is not to showcase AI, but to understand its real impact on FPGA engineering today and its likely influence on design flows in the years ahead.
