Review of Algorithms for Artificial Intelligence on Low Memory Devices

The aim of the article is to conceptualise a more compact and efficient version of algorithms for artificial intelligence (AI). The core objective is to construct the design for a self-optimising and self-adapting autonomous artificial intelligence (AutoAI) that can be applied for edge analytics usi...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access 2021, Vol.9, p.109986-109993
Hauptverfasser:	Radanliev, Petar, de Roure, David
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Backpropagation Bayesian analysis Biological neural networks conceptual design Deep learning Design optimization edge analytics Evolutionary algorithms low memory AI Machine learning Memory devices Neural networks Neuromorphic computing neuromorphic engineering Neurons Training
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!