Abstract
AI can refer to any computer algorithm that performs a complicated task, including machine learning algorithms that “learn” from data. These methods are not magic, but they are good at analysing large amounts of data to pick out patterns, and at scaling up simple tasks that humans could do more slowly.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Rolnick, D. (2022). Insights: AI and Decarbonisation. In: Inderwildi, O., Kraft, M. (eds) Intelligent Decarbonisation. Lecture Notes in Energy, vol 86. Springer, Cham. https://doi.org/10.1007/978-3-030-86215-2_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-86215-2_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-86214-5
Online ISBN: 978-3-030-86215-2
eBook Packages: EnergyEnergy (R0)