Projects

REXASI-PRO – REliable & eXplAinable Swarm Intelligence for People with Reduced mObility

Artificial intelligence (AI) is being applied widely in many domains and there is a need to realize public trust in these systems. Calls are made to …

KI-Kompass Inklusiv – Competence Centre on AI and Inclusion in the World of Work

The project is the follow-up project to KI.ASSIST (in which DFKI is already working successfully with 3 practice partners). Building on the results of …

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 …

tech4compKI – Personalized skills development and hybrid AI mentoring

The aim of the project is to automate mentoring processes through knowledge services using hybrid AI methods. For this purpose, the didactic knowledge …

PRIMA-AI – Prospectively investigating the impact of AI on shared decision making in post-kidney transplant care

Health care is undergoing a transformation from a paternalistic to a patient-centred approach. Medical decision-making is therefore a collaborative …

hyBit – Hydrogen for Bremen's industrial Transformation - Subproject: Agent-based modelling and social simulation

The project hyBit - hydrogen for Bremen's industrial transformation - is the starting point and at the same time the central initial impulse of a …

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 …

Data4Transparency – Data Science and NLP for transparency

According to the World Bank and the UN, some US$1tn is paid in bribes every year. Corrupt financial transactions divert funds from legitimate public …

KiBATIN – AI-based assistance system for triaging in the emergency room

In emergency rooms, speed is of the essence. According to the regulations on emergency care, emergency staff must assess within ten minutes how …

ML-Synthom – Fertigungsnahes Maschinelles Lernen für die Automobilzuliefererindustrie durch synthetische Generierung von Oberflächen und Materialien

Ensuring industrial quality through new research The ML-SYNTHOM project is developing an AI-based test procedure for quality assurance for new types …