Projects

XAINES – Explaining AI with Narratives

In the XAINES project, the aim is not only to ensure explainability, but also to provide explanations (narratives). The central question is whether AI can explain in one sentence why it acted the way

ViCKI – KI im Cockpit - proaktive Informationsassistenz für Single Crew Betrieb

Modelle und Erkennungsalgorithmen für Informationskontexte und Prozesszustände zur kontextspezifischen proaktiven Informationsbereitstellung durch einen virtuellen Crewassistenten

Managed_Forgetting_Phase_2 – Sustaining Grass-roots Organizational Memories: Methods and Effects of Applying Managed Forgetting in Administrative Corporate Scenarios

Partners Universität Hannover (Gottfried Wilhelm Leibniz Universität Hannover) Pädagogische Hochschule Ludwigsburg (Fakultät III: Sonderpädagogik Institut für Sonderpädagogische Förderschwerpunkte) Un

ExplAINN – Explainable AI and Neural Networks

Despite astonishing progress in the field of Machine Learning (ML), the robustness of high-performance models, especially the ones based on Deep Learning technologies, has been lower than initially pr

EDeL – Efficient Data Processing for Deep Learning

The astonishing speed of developments in deep learning, especially in the field of computer vision, is largely based on the availability of increasingly powerful co-processors. They allow to process e

DeFuseNN – Deep Fusion für Neuronale Netze

Motivation Focused research and development in the field of Deep Learning, especially in recent years, has resulted in a variety of different network types, architectures, modules, training methods an

Managed Forgetting – Sustaining Grass-roots Organizational Memories: Foundations and Methods of Managed Forgetting for Knowledge Workers

Introducing ‘forgetting’ into organizational knowledge management methods and practices promises to help overcome information overload and to ease focusing on and refinding the really important things

MOM – Multimedia Opinion Mining

This project aims to address the challenge of opinion mining of multimedia content from the web. This comprises a large-scale multi-modal analysis of social media streams and their underlying network