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...
Main Authors: | Radanliev, P, de Roure, D |
---|---|
Format: | Journal article |
Language: | English |
Published: |
IEEE
2021
|
Similar Items
-
Review of Algorithms for Artificial Intelligence on Low Memory Devices
by: Petar Radanliev, et al.
Published: (2021-01-01) -
Review of the state of the art in autonomous artificial intelligence
by: Radanliev, P, et al.
Published: (2022) -
Forecasts on future evolution of artificial intelligence and intelligent systems
by: Radanliev, P, et al.
Published: (2022) -
Advancing the cybersecurity of the healthcare system with self-optimising and self-adaptative artificial intelligence (part 2)
by: Radanliev, P, et al.
Published: (2022) -
Disease X vaccine production and supply chains: risk assessing healthcare systems operating with artificial intelligence and industry 4.0
by: Radanliev, P, et al.
Published: (2023)