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Challenges in Embedded Devices & Artificial Intelligence

Challenges in Embedded Devices & Artificial Intelligence

Prof. Dr. Paul Lukowicz, SustainML’s partner, delivered an insightful talk on the future of cognitive technologies and their application in intelligent production.

Introducing a Simple and Efficient Framework in Green AI

Introducing a Simple and Efficient Framework in Green AI

SustainML is committed to reducing the carbon footprint in the ML processes. With this goal in mind, the partner project University of Copenhagen, has developed a framework for self-supervised image segmentation.

Carbontracker: Predicting the Deep Learning CO2 footprint

Carbontracker: Predicting the Deep Learning CO2 footprint

Carbontracker is a tool for tracking and predicting the carbon footprint and energy expenditure of Deep Learning (DL) training.

SustainML kick-off meeting

SustainML kick-off meeting

The official SustainML  Kick-off Meeting (KoM) was held in Madrid on December 8th and 9th, 2022. eProsima, the project coordinator, organized the face-to-face meeting in the Exe Hotel in Tres Cantos.

eProsima
IBM
DFKI
Inria
University Copenhagen
Uc3m
Technische Universität Kaiserslautern
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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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General information

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.