Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures
Ullah S, Koravuna S, Rückert U, Jungeblut T (2023) .
Kurzbeitrag Konferenz / Poster | Englisch
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Einrichtung
Abstract / Bemerkung
Our project aims to analyze resource-efficient implementations of biologically-inspired spiking neural networks, which on the one hand, enable the execution of SNNs in a resource-efficient manner and on the other hand, enable the possibility of online learning adaptation. The primary focus of the project is to explore the design space for potential computer vision applications (i.e., object detection/recognition). Artificial intelligence activities will employ a variety of applications, including one that uses an online learning strategy for object detection and recognition.
Erscheinungsjahr
2023
Page URI
https://pub.uni-bielefeld.de/record/2982811
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Ullah S, Koravuna S, Rückert U, Jungeblut T. Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures.
Ullah, S., Koravuna, S., Rückert, U., & Jungeblut, T. (2023). Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures. Presented at the . https://doi.org/10.13140/RG.2.2.26328.88324
Ullah, Sana, Koravuna, Shamini, Rückert, Ulrich, and Jungeblut, Thorsten. 2023. “Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures”. Presented at the . University of Texas at San Antonio: Neuro-Inspired Computing Elements (NICE 2023).
Ullah, S., Koravuna, S., Rückert, U., and Jungeblut, T. (2023).“Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures”.
Ullah, S., et al., 2023. Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures.
S. Ullah, et al., “Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures”, University of Texas at San Antonio: Neuro-Inspired Computing Elements (NICE 2023), 2023.
Ullah, S., Koravuna, S., Rückert, U., Jungeblut, T.: Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures. (2023).
Ullah, Sana, Koravuna, Shamini, Rückert, Ulrich, and Jungeblut, Thorsten. “Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures”., University of Texas at San Antonio: Neuro-Inspired Computing Elements (NICE 2023), 2023.
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