Description
Machine learning methods operating under latency, bandwidth, and hardware constraints.
Examples include:
- Trigger systems
- FPGA and embedded AI
- Online event selection
- Fast inference
- AI at the edge
- Resource-aware machine learning
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Sebastien Viret (IPN Lyon)16/11/2026 15:10Real-Time AI, Trigger and Edge ComputingStandard talks
We will present the status of the IN2P3 R&T THINK2, whose objective was to develop tools to embed machine learning algorithms in FPGAs for realtime applications (DAQ, trigger,...)
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