Overview
Participants will learn how Synmatrix AI/ML Reinforcement Learning (RL) workflows can help significantly accelerate filter design and feasibility/proposal analysis cycle time. With unprecedented efficiencies, design teams can realize transformational time-to-market objectives, while also obtaining 'first-time-right' performance outcomes. Designed for both new and experienced RF filter designers, this session pairs guided fundamentals with advanced automation and topology exploration you can apply immediately.
What Attendees Will Learn
- Learn how AI/ML assisted algorithms can help enable junior RF engineers with accelerated proposal and filter design workflows
- Generate filter synthesis solutions from just a user spec input
- Evaluate and compare the (system-gen) recommended topology designs and solutions
- Run one-click parametric analysis with fully integrated HFSS workflows
- Learn how AI/ML-driven workflows can help significantly reduce the handoff times between Mechanical CAD designers and Electrical Engineers using an automated layout generator
Who should attend
- Engineering directors, VPs, and decisions makers
- RF engineers
- RF design engineers
- RF filter design engineers
- Antenna design engineers
- RF power amplifier engineers
Presenters
Dan Fallon - Senior Staff Engineer, Diamond Liu - SynMatrix Founder
Date / Time:
June 25, 2026
11:00 AM - 3:00 PM EDT
Venue: Virtual
- Cost:
No reviews available for this learning resource.
