Projects

AI.EDU Research Lab 2.0 – AI.EDU Research Lab 2.0 is an interdisciplinary CATALPA project

When searching for a term paper topic in the Bachelor's program, many students need assistance. Thereby stands out that recurring questions and ...

ESCADE – Energy-Efficient Large-Scale Artificial Intelligence for Sustainable Data Centers

Growth of data centers and their capacities is central to economies as digital transformation needs computing power. But processing data and training ...

SASPIT – A Safe and Secure Sensor Platform for the Internet of Things

The goals of the SASPIT project are to develop an open IoT sensor platform with end-to-end security guarantees for the correctness, integrity and ...

CurAEducate – Nachwuchsförderung & Weiterbildung

Um aus exzellenten Forschungsergebnissen in curATime innovative Behandlungs- und Präventionskonzepte zu entwickeln und in die klinische Anwendung zu ...

HealthyW8 – Empowering healthy lifestyle behaviour through personalised intervention portfolios to prevent and control obesity during vulnerable stages of life

Over 30% of EU citizens at vulnerable stages and situations in life are at increased risk to transgress from healthy weight to overweight and further ...

news-polygraph – Privacy, transparency, bias-free, trustworthy multimodal disinformation fighting

In the news-polygraph project, we are developing digital methods for the media industry, with the help of which multimedia content can be checked more ...

HAI-x – Hybrid AI explainer

More and more industry, business and science applications employ multiple AI techniques and AI workflows to solve complex problems and automate as ...

No-IDLE – Interactive Deep Learning Enterprise

In recent years, machines have surpassed humans in the performance of specific and narrow tasks such as some aspects of image recognition or decision ...

Miracle2 – A Machine learning approach to Identify patients with Resected non-small-cell lung cAnCer with high risk of reLapsE

MIRACLE comprises a consortium of academics and industry partners to understand how machine learning can be utilised to predict the risk of relapse ...

curAIknow – curATime knowledge graphs

Application of the Ontosight bioscience knowledge graph to support prediction, validation and better interpretation of Al-generated hypotheses based ...