MANOLO: Difference between revisions
Created page with "==EU Project short name::MANOLO== ===EU Project full name::Enabling reliable energy-saving AI systems in cloud-edge computing=== '''Full project details (EU Research results portal):''' CORDIS URL::https://cordis.europa.eu/project/id/101135782 === '''Project description:''' === The EU-funded MANOLO project aims to create a toolset and algorithms that support trustworthy and energy-efficient AI systems, especially within the cloud-edge continuum. It will acce..." |
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The EU-funded MANOLO project aims to create a toolset and algorithms that support trustworthy and energy-efficient AI systems, especially within the cloud-edge continuum. It will accelerate research in areas such as model compression, meta-learning and neuromorphic models to develop novel algorithms that train, compress and optimise machine learning models. It will also design dynamic algorithms for energy-efficient and policy-compliant allocation of AI tasks to resources. Other key goals include creating a data management framework to track AI assets such as data and models, as well as a benchmark system to monitor and assess AI algorithms. The resulting toolset will be validated in key industries such as healthcare, manufacturing and telecommunications. | The EU-funded MANOLO project aims to create a toolset and algorithms that support trustworthy and energy-efficient AI systems, especially within the cloud-edge continuum. It will accelerate research in areas such as model compression, meta-learning and neuromorphic models to develop novel algorithms that train, compress and optimise machine learning models. It will also design dynamic algorithms for energy-efficient and policy-compliant allocation of AI tasks to resources. Other key goals include creating a data management framework to track AI assets such as data and models, as well as a benchmark system to monitor and assess AI algorithms. The resulting toolset will be validated in key industries such as healthcare, manufacturing and telecommunications. | ||
'''EU Programme:''' | '''EU Programme:''' | ||
Latest revision as of 12:35, 18 June 2026
MANOLO
Enabling reliable energy-saving AI systems in cloud-edge computing
Full project details (EU Research results portal): https://cordis.europa.eu/project/id/101135782
Project description:
The EU-funded MANOLO project aims to create a toolset and algorithms that support trustworthy and energy-efficient AI systems, especially within the cloud-edge continuum. It will accelerate research in areas such as model compression, meta-learning and neuromorphic models to develop novel algorithms that train, compress and optimise machine learning models. It will also design dynamic algorithms for energy-efficient and policy-compliant allocation of AI tasks to resources. Other key goals include creating a data management framework to track AI assets such as data and models, as well as a benchmark system to monitor and assess AI algorithms. The resulting toolset will be validated in key industries such as healthcare, manufacturing and telecommunications.
EU Programme: Horizon Europe
EU Project
Project publications:
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