This paper presents the development of a low-SWaP spiking symbolic Bayesian network reasoner that makes decisions based on given state inputs. The Bayesian network is demonstrated onboard an unmanned aerial vehicle using the Intel Loihi, a neuromorphic research hardware, and achieves improved power efficiency, runtime performance, and functional equivalency when compared to conventional hardware.


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    Titel :

    Symbolic Probabilistic Cognitive Reasoner on Neuromorphic Hardware


    Beteiligte:
    Fan, David (Autor:in) / DeMange, Ashley (Autor:in) / Jenkins, Todd (Autor:in) / Adams, Yuki (Autor:in) / Taha, Tarek (Autor:in)


    Erscheinungsdatum :

    16.08.2021


    Format / Umfang :

    1773823 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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