Realtime Machine Learning

Name: Workshop // on // Fast Realtime Systems // and // Realtime Machine Learning
Start: 2024-04-08T09:00:00+02:00
End: 2024-04-11T18:00:00+02:00
Location: Heinrich-Buff-Ring 58

8–11 Apr 2024

Heinrich-Buff-Ring 58

Europe/Berlin timezone

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Nanosecond anomaly detection with decision trees for high energy physics and real-time application to exotic Higgs decays (HEP L1 trigger)

10 Apr 2024, 16:00

40m

Room I 020 (Heinrich-Buff-Ring 58)

Room I 020

Heinrich-Buff-Ring 58

Justus-Liebig Universität Giessen, Campus Naturwissenschaften, Heinrich-Buff-Ring 58, 35392 Giessen. The building ("old" chemistry building) is the tallest building on the campus and thus easy to recognize. Opposite you find the cafeteria "CaRe". Lecture room is on the ground level. Please use left entrace and turn left immediately. There will be signs.

Realtime ML #3

Tae Min Hong (U Pittsburgh) Steven Roche (U Saint Louis) Ben Carlson (Westmont College)

TMHong20240409_tree_autoencoder_fpga.pdf

Workshop // on // Fast Realtime Systems // and // Realtime Machine Learning

Nanosecond anomaly detection with decision trees for high energy physics and real-time application to exotic Higgs decays (HEP L1 trigger)

Room I 020

Heinrich-Buff-Ring 58

Speakers

Presentation materials

Choose timezone

Workshop // on // Fast Realtime Systems // and // Realtime Machine Learning

Speakers

Presentation materials