Projects

FAIRe_RIC – Frugal Artificial Intelligence in Resource-limited environments

FAIRe aims to develop resource-limited AI for embedded systems, cyber-physical systems, and edge devices. The development approach should extend …

COMET – Consumer Empowerment und Teilhabe an der Domäne Smart Living

Die Bedeutung der Smart-Living-Domäne für die deutsche Wirtschaft wächst kontinuierlich und präsentiert sich als vielversprechender Markt. Auf …

Revise-UP – Verbesserung der Prozesseffizienz des werkstofflichen Recyclings von Post-Consumer Kunststoff-Verpackungsabfällen durch intelligentes Stoffstrommanagement

At 3.2 million tonnes per year, post-consumer packaging waste represents the most significant plastic waste stream in Germany. Despite progress to …

ForeSightNEXT – Platform for data, artificial intelligence and services in the smart living ecosystem

ForeSightNEXT is the lead project of the "SmartLivingNEXT" technology program funded by the BMWK and is developing the technological and economic …

ESCADE – Energy-Efficient Large-Scale Artificial Intelligence for Sustainable Data Centers

Growth of data centers and their capacities is central to economies as digital transformation needs computing power. But processing data and training …

Rwanda_Weather_events – Rwanda Extreme Weather Events

In close collaboration with the Rwanda Space Agency, we develop machine learning tools to understand and monitor extreme weather events. We …

SolarEnvelopeCenter – Planning Support for the Solarization of the Building Envelope in New and Existing Buildings

Subproject: Visualisation In the project, technically, economically and architecturally advantageous basic solutions for the solarization of the …

SECAI – Sustainable heating through Edge-Cloud-based AI systems

Das Projekt SECAI setzt durch den Einsatz von Künstlicher Intelligenz im Edge-Cloud-Umfeld intelligente, ökologisch nachhaltige und schnell …

SustainML_EI – Application Aware, Life-Cycle Oriented Model-Hardware Co-Design Framework for Sustainable, Energy Efficient ML Systems

This project is based on the insight that in order to significantly reduce the CO2 footprint of ML applications power-aware applications must be as …

Green-AI Hub Mittelstand – Green-AI Hub Mittelstand

Partners Wuppertal Institut für Klima, Umwelt, Energie gGmbH VDI Technologiezentrum GmbH VDI Zentrum Ressourceneffizienz GmbH