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SustainML Project

Sustainable Machine Learning

About

Sustainable Machine Learning

SustainML is dedicated to creating a sustainable ML framework for Green AI. By prioritizing energy efficiency, SustainML aims to pave the way for environmentally conscious AI solutions that are both efficient and effective.

Model the requirements of specific ML applications.

Collection of efficient methods and cores as catalogs and libraries of energy-optimized parameterized ML models.

Resource-aware optimization methods based on models from previous objectives.

Promotion of distributed, collaborative learning

Latest News

SustainML News

Dive deep into the world of Sustainable Machine Learning and stay up to date with SustainML´s achievements, events, and more.

Publications

SustainML'S Latest Publications

Read all about the SustainML´s project and it´s latest publications.

Deliverables

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Work Packages

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Scientific Articles

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Infographic

Videos

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Meet our partners: discover their roles in the SustainML project

Events

SustainML's Latest Events

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SustainML is among these nine innovative projects dedicated to creating a sustainable ML framework for Green AI.

Coordinator Office Address

Plaza de la Encina 10-11, Núcleo 4, 2ª Pl.
28760 Tres cantos - Madrid (España)

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EN-Funded_by_the_EU-POSThis project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070408.