Folhadela, João und Köglmayr, Daniel (2025) FPGA Implementation of Next-Generation Reservoir Computing for predicting dynamical systems. 2nd FPGA Developers' Forum (FDF) meeting, 2025-05-20 - 2025-05-23, Geneva, Switzerland.
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Offizielle URL: https://cds.cern.ch/record/2932817?ln=en
Kurzfassung
Reservoir Computing (RC) is a new paradigm in Machine Learning, alternative to Neural Networks on predicting dynamical systems, offering advantages in efficiency and computational simplicity. These characteristics make RC particularly well-suited for implementation on resource-constrained hardware such as FPGAs, enabling low-power, real-time edge computing. Next-Generation Reservoir Computing (NG-RC) further enhances this approach by significantly reducing the number of required parameters compared to conventional RC, making FPGA implementations even more efficient. In this work, we present an FPGA-based implementation of NG-RC for predicting the Lorenz attractor, demonstrating its effectiveness in modeling chaotic systems with minimal computational overhead.
| elib-URL des Eintrags: | https://elib.dlr.de/215451/ | ||||||||||||
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| Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||
| Titel: | FPGA Implementation of Next-Generation Reservoir Computing for predicting dynamical systems | ||||||||||||
| Autoren: |
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| Datum: | 21 Mai 2025 | ||||||||||||
| Referierte Publikation: | Nein | ||||||||||||
| Open Access: | Nein | ||||||||||||
| Gold Open Access: | Nein | ||||||||||||
| In SCOPUS: | Nein | ||||||||||||
| In ISI Web of Science: | Nein | ||||||||||||
| Status: | veröffentlicht | ||||||||||||
| Stichwörter: | Reservoir Computing, Next Generation Reservoir Computing, FPGA, Machine Learning | ||||||||||||
| Veranstaltungstitel: | 2nd FPGA Developers' Forum (FDF) meeting | ||||||||||||
| Veranstaltungsort: | Geneva, Switzerland | ||||||||||||
| Veranstaltungsart: | internationale Konferenz | ||||||||||||
| Veranstaltungsbeginn: | 20 Mai 2025 | ||||||||||||
| Veranstaltungsende: | 23 Mai 2025 | ||||||||||||
| Veranstalter : | CERN | ||||||||||||
| HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||
| HGF - Programm: | Raumfahrt | ||||||||||||
| HGF - Programmthema: | Technik für Raumfahrtsysteme | ||||||||||||
| DLR - Schwerpunkt: | Raumfahrt | ||||||||||||
| DLR - Forschungsgebiet: | R SY - Technik für Raumfahrtsysteme | ||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | R - Synergieprojekt | TIARA | Trustworthy Physics-informed AI for Aerospace and Transportation | ||||||||||||
| Standort: | Ulm | ||||||||||||
| Institute & Einrichtungen: | Institut für KI-Sicherheit | ||||||||||||
| Hinterlegt von: | Folhadela, Joao | ||||||||||||
| Hinterlegt am: | 25 Sep 2025 09:09 | ||||||||||||
| Letzte Änderung: | 25 Sep 2025 09:11 |
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