Presentation and contributions of various ECMI nodes.
At the Embedded World Exhibition and Conference in Nuremberg, the Fraunhofer Institute for Industrial Mathematics ITWM, together with the Rhineland-Palatinate Technical University Kaiserslautern-Landau (RPTU), is presenting a system that fundamentally accelerates the development of embedded AI applications: »Neural Architecture Search Engine (NASE)« with Hardware in the Loop.
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Rare diseases affect more people than one might think, but they are often difficult to diagnose. On average, it takes years for patients to receive a diagnosis. In this project, our researchers are working with the pharmaceutical company Chiesi to develop a mathematical support tool that will help doctors identify rare diseases more quickly and test for them in a targeted manner.
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In the »KIBi« project, we are working with our partners to develop an AI-supported process that automatically separates and characterizes aggregates in CT images, thereby simplifying and improving quality assurance and production control in the building materials industry. It is part of a special transfer program run by the Fraunhofer-Gesellschaft and the German Research Foundation (Deutsche Forschungsgemeinschaft DFG).
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Tire abrasion is one of the largest sources of microplastics in Europe, polluting the air, soil, and water. With the SUMERA project, the Fraunhofer Institute for Industrial Mathematics ITWM, with support from the state of Rhineland-Palatinate, is developing a digital model that comprehensively simulates tire abrasion for the first time and makes emissions predictable.
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By Dietmar Hömberg (NTNU/WIAS), Zerihun Kinfe Birhanu (Hawassa University) and Anne Kværnø (NTNU) The 2nd Ethiopian Study Group with Industry took place at Addis Ababa University of
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This article presents an accessible overview of how Chen–Fliess series can be combined with modern learning techniques to model and analyze nonlinear dynamical systems. The
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