Projects

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Displaying results 21 to 30 of 40.

Pre-OnkoCase – Preliminary study for the realization of a case-oriented decision support system for treatment recommendations of skin cancer.

In the case of advanced skin cancer, treatment decisions are often based on the personal experience of the treating physician due to a lack of evidence. Significant progress can be made here with a de
SensAI – Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories

Potentials Knowledge Graphs (KGs) get an increased interest in research and industry to represent data, information and knowledge from various sources in ontology-based graph structures. In addition,
TreeSatAI – Künstliche Intelligenz mit Erdbeobachtungs- und Multi-Source Geodaten für das Infrastruktur-, Naturschutz und Waldmonitoring

Remote sensing data from various space missions as well as geodata on the state of the environment are increasingly available free of charge in immense quantities.At the same time, social media platfo
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
AIRPoRT – Artificial Intelligence für Robotik und vernetzte ProdukTion

Innovative information and communication technologies are key drivers in the development of today's production environments: At the communication level, they enable ever faster wireless data connectio
SimLearn – Completing Training Data by Iteratively Learning Simulation

Machine learning methods based on existing training data have proven to be very effective in identifying patterns and implicit dependencies even in complex situations with many parameters and in provi
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
FiN 2.0 – Fühler im Netz 2.0

„Fühler im Netz 2.0“ baut auf den Ergebnissen des Projektes „Fühler im Netz“ (FiN) (Projektzeitraum 2014 bis 2017) auf und legt den Fokus darauf, die Möglichkeiten zur Anlagen- und Netzzustandsübe
Agri-Gain – Agrarwirtschaftlicher Gateway für Künstliche Intelligenz

Ziel von Agri-Gain ist es, der deutschen Agrar- und Ernährungswirtschaft den Einsatz von KI-Technologie zu ermöglichen. Die Vision ist eine Plattform, die KI-Bausteine bereits im Anwendungskontext zur