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.
Symbolic Probabilistic Cognitive Reasoner on Neuromorphic Hardware
16.08.2021
1773823 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch