Spike encoding techniques for IoT time-varying signals benchmarked on a neuromorphic classification task
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.999029
Abstract: Spiking Neural Networks (SNNs), known for their potential to enable low energy consumption and computational cost, can bring significant advantages to the realm of embedded machine learning for edge applications. However, input coming from standard… read more here.
Keywords: time; spike encoding; classification; encoding techniques ... See more keywords
Survey of encoding techniques for quantum machine learning
Sign Up to like & getrecommendations! Published in 2024 at "Cybernetics and Physics"
DOI: 10.35470/2226-4116-2024-13-2-152-160
Abstract: Quantum computing is a field of computation that processes information in a fundamentally different way compared to classical computers. Quantum computing is a rapidly expanding research field with ongoing investigations regarding applications of quantum computing… read more here.
Keywords: quantum encoding; encoding techniques; survey encoding; quantum computing ... See more keywords