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 …

FAIRe – Frugal Artificial Intelligence in Resource-limited environments

Artificial intelligence (AI) is finding increasingly diverse applications in the physical world, especially in embedded, cyber-physical devices with …

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 …

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 …

DECODE – Continual learning for visual and multi-modal encoding of human surrounding and behavior

Machine Learning, and in particular Artificial Intelligence (AI) in Deep Learning, has revolutionized Computer Vision in almost all areas. These …

ErgoBest – Erhebung ergonomischer Best Practices in industriellen Arbeitsprozessen mittels Internet-of-Things und Mixed Reality

MOTIVATION Ergonomische Fehlhaltungen tragen zu einem erhöhten Krankenstand und einem gesundheitsbedingten frühen Ausscheiden aus der Arbeitswelt bei. …

DOF-Adaptiv – Adaptive Mapping of Degrees of Freedom as User Interface for an Assistive Robot

An assistive robot arm is a valuable support for people with severely reduced mobility of arm and hand, but exhausting and time-consuming to use, …

KI@Home – Prädiktion von adverse events mittels Künstlicher Intelligenz und Ambient Assisted Living-Systemen in der Häuslichkeit von pflegebedürftigen Personen

The goal is to develop a risk assessment module for a smart home platform with a focus on "smart ageing". A collection of sensors is installed in the …

ASCAPE – Artificial intelligence Supporting CAncer Patients across Europe

The project objective is to take advantage of the advances in Big Data, Artificial Intelligence and Machine Learning to support cancer patients’ …

Fast&Slow – Combination of Symbolic and Subsymbolic Methods

Deep learning methods are used in many application areas and work very efficiently after a training phase. However, in general no reliable statement …