The project HEART is researching a non-invasive method for monitoring the body’s fluid requirements using ECG signals. AI-supported analyses of large amounts of data support precision medicine and offer patients considerable advantages.
The Secure Prescriptive Analytics project aims to develop an innovative modeling concept that breaks down complex systems, such as industrial plants, into variable sub-models and represents them through surrogate models. The goal is to create an open-source platform that supports the optimization and integration of these models.
The main objective of the “POWERCAST” project funded by the FFG is to increase the cost and supply efficiency of power grids by predicting and optimizing power loads with AI-supported forecasting models.
The research project QML4Med aims to explore the potential of the promising fusion of Quantum Computing and Machine Learning in the medical context.
Thema des Projekts ist es, die Nutzung von Methoden aus Prescriptive Analytics / Machine Learning in unseren Automatisierungsprojekten zu ermöglichen. Kernziel ist die in-line Optimierung der den Steuerungsalgorithmen zugrunde liegenden Parameter.
DiTwin revolutionizes road management with digital twin technology for optimized asset management.
