Webinar: Real-Time AI on FPGA for High-Speed Data Acquisition
Date: Tuesday October 27, 2026
Time: 10:00AM Pacific | 1:00PM Eastern
Duration: 60 minutes
Can AI help solve your most difficult measurement challenges?
Many instrumentation problems involve patterns that are easy for experts to recognize but difficult to describe using explicit rules. Neural networks offer a different approach by learning directly from examples.
In this webinar Tobias Habermann from UFAIRA explores how AI can be integrated directly into FPGA-based digitizers for real-time analysis of high-speed data streams. The session includes a practical case study from GSI demonstrating how an AI-enabled ADQ35 digitizer improved particle counting performance under severe pulse pile-up conditions.
Selected topics:
· Why some measurement challenges are difficult to solve with traditional algorithms
· When AI can outperform conventional signal processing
· Why FPGAs are well suited for real-time AI inference
· How neural networks can be implemented directly in a digitizer
· … and more
Register below to save your seat.