Webinar - Real-Time AI on FPGA for High-Speed Data Acquisition

Learn how neural networks running inside FPGA-based digitizers can solve complex measurement problems at full data rate

Webinar - Real-Time AI on FPGA for High-Speed Data Acquisition

OCT
27
2026
Tuesday, October 27
10 AM Pacific | 1 PM Eastern
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.

Join Tobias Habermann from UFAIRA as he explores how AI can be integrated directly into FPGA-based digitizers for real-time analysis of high-speed data streams. The webinar includes a practical case study from GSI demonstrating how an AI-enabled ADQ35 digitizer improved particle counting performance under severe pulse pile-up conditions.

What you will learn:

  • 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
  • A real-world example from particle accelerator instrumentation
  • How to identify opportunities for AI in your own measurement system

Presenters: Tobias Habermann, Founder and CTO of UFAIRA and Ulrik Lindblad, marketing manager Teledyne SP Devices

Register below to attend the webinar

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