Projects

In the EXPAND+ER WB³ project, the vision of educator Otto Herz is applied to the field of vocational education. The technology partners of the BMBF-funded EXPAND+ER WB³ project develop a scalable platform that protects privacy and enables users to search for and receive recommendations for further education courses.

With CleanFeed, we explore how trust in digital media can be preserved in the age of AI generated and manipulated content. Images, videos and texts can now be altered or synthesized with little effort, often in ways that make their origin and authenticity difficult to assess for users. CleanFeed addresses this challenge by making the origin, processing and trustworthiness of digital media transparent and verifiable across the entire media chain – from capture to distribution. In doing so, the project contributes to strengthening trust, informed decision making and democratic processes in the digital public sphere.

In TRIPLEADAPT, an adaptive, interoperable professional education platform will be created via the development of a digital triplet. Digital learning environments will then be extended by learning concepts with the aim of increasing learning success.

The project aims to strengthen software supply chains by introducing a data-driven, AI-empowered framework for assurance-driven security engineering that delivers continuous compliance, proactive threat management, and certifiable trustworthiness across the IoT-edge-cloud continuum.

In the HYKIST project, a real-time-based AI speech assistance system for basic and emergency medicine is being developed as a pilot. The AI-supported communication is intended to facilitate conversations with medical professionals for people who have only limited German skills. Thanks to automatic speech recognition, machine translation and linkage to a teleconferencing platform, the supervising interpreters are supported in conveying complex medical issues in a user-friendly way.

Although solutions of Artificial Intelligence (AI) have gained importance in many economic sectors, they cannot be used in aviation, as they cannot be certified yet. The KIEZ 4.0 project will examine and formulate the technical, the ethical and legal requirements and implications for the use of artificial intelligence in aviation and lay the groundwork for certification approaches.

In the PlanQK project, a web-based knowledge platform for so-called quantum-assisted artificial intelligence (QKI) is being developed. The goal is to create a technical basis for promoting knowledge and technology exchange between quantum and AI experts, developers, and potential users of QKI.

In the “KI-Wissen” project, 16 project partners are working on artificial intelligence (AI)-based processes for fully automated driving.

KYKLOS 4.0 aims to develop an innovative Circular Manufacturing ecosystem based on novel CPS (Circular Production System) and AI technologies, enhanced with novel production mechanisms and algorithms, targeting personalized products with extended life cycle and promoting energy efficient and low material consumption intra-factory production processes, resulting in reduced greenhouse gas emissions and air pollutants.

The collaborative research project CANARIA aims to create an innovative in-flight entertainment system based on a federated communication and edge-computing network architecture. CANARIA brings together state-of-the-art technologies in networked aircraft of the future, cloud computing, and cutting-edge methods for data processing using Artificial Intelligence and Machine Learning.