Project description
Making green machine learning algorithms
The greening of our communication networks is an emerging trend, but potentially threatened by energy intensive AI algorithms that are needed for complex optimisations. The EU-funded GreenML5G project will investigate how to reduce energy expenditure for deep reinforcement learning modules. The overall output of the project is to create green machine learning algorithms for radio resource management. The technology has widespread impact in other areas of autonomy and machine learning.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksmobile network5G
- natural sciencescomputer and information sciencesartificial intelligencemachine learningreinforcement learning
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technology
Programme(s)
Funding Scheme
MSCA-IF-EF-ST - Standard EFCoordinator
CRANFIELD UNIVERSITY
Net EU contribution
€ 224 933,76
Address
College Road
MK43 0AL Cranfield - Bedfordshire
United Kingdom
MK43 0AL Cranfield - Bedfordshire
United Kingdom
See on map
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 0,00