Showing 1 - 6 results of 6 for search 'Verhelst, Marian', query time: 0.04s Refine Results
In addition to media from the THWS, media from other Bavarian libraries are also displayed.
These are marked with the "Interlibrary loan" label and can be ordered by clicking on them.
  1. 1
    Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning Journey from Single-core Acceleration to Multi-core Heterogeneous Systems

    Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning Journey from Single-core Acceleration to Multi-core Heterogeneous Systems by Jain, Vikram, Verhelst, Marian

    Published 2024
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  2. 2
    Efficient Execution of Irregular Dataflow Graphs Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra

    Efficient Execution of Irregular Dataflow Graphs Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra by Shah, Nimish, Meert, Wannes, Verhelst, Marian

    Published 2023
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  3. 3
    Hardware-Aware Probabilistic Machine Learning Models Learning, Inference and Use Cases

    Hardware-Aware Probabilistic Machine Learning Models Learning, Inference and Use Cases by Galindez Olascoaga, Laura Isabel, Meert, Wannes, Verhelst, Marian

    Published 2021
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  4. 4
    Embedded Deep Learning Algorithms, Architectures and Circuits for Always-on Neural Network Processing

    Embedded Deep Learning Algorithms, Architectures and Circuits for Always-on Neural Network Processing by Moons, Bert, Bankman, Daniel, Verhelst, Marian

    Published 2019
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  5. 5
    Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems

    Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems by Pamula, Venkata Rajesh, Van Hoof, Chris, Verhelst, Marian

    Published 2019

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  6. 6
    Embedded Deep Learning Algorithms, architectures and circuits for always-on neural network processing

    Embedded Deep Learning Algorithms, architectures and circuits for always-on neural network processing by Moons, Bert, Bankman, Daniel, Verhelst, Marian

    Published 2019
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