Projects

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 …

ADaMus – Automatische Datenauswertung mit Mustererkennung

Components manufactured for the aerospace industry must meet the highest quality and safety requirements. Often, highly complex and sophisticated …

MOMENTUM – Robust Learning with Hybrid AI for Trustworthy Interaction of Humans and Machines in Complex Environments

MOMENTUM is a research project dedicated to TRUSTED-AI, which aims to advance the development and application of artificial intelligence by …

ECXL – An Extensible and Consistent Cross-Level RISC-V Verification Platform

The goal of the ECXL project is to develop a design and verification platform for RISC-V based systems. The verification platform will allow models on …

Adra-e – AI, Data and Robotics ecosystem

Adra-e - Supporting the AI, Data and Robotics Community in the Development of a Sustainable European Ecosystem Adra-e is a Coordination and Support …

PhysWM – PhysWM - Learning from Causal Physical World Models

The project aims at reducing the sample and model complexity of robot learning algorithms. For that, known physical equations are merged with machine …

ToHyVe – Toolbox für Hybride Veranstaltungsformate

The changes in business communications triggered by the COVID 19 crisis will be lasting. Companies have learned that a large proportion of meetings …

PHARMOPRO-KI – Pharmacokinetic Modelling of Propofol Using Artificial Intelligence

PHARMOPRO-KI is a collaborative project between DFKI and the Department of Anaesthesiology at Saarland University Hospital, commissioned by the …

NoStrandAMust – NoStrandAMust - Bodenkontaktsimulation zur Verbesserung der Lokomotionsperformance mobiler Roboter

NoStrandAMust is a project with the goal of experimentally investigating the ground interaction of different robots and generating models for the …

ML4Sim – Machine Learning for Simulation Intelligence in Composite Process Design

Fiber-reinforced polymers are composite materials made of fibers and a surrounding matrix. Due to their outstanding lightweight potential, they are …