REMODEL is a Staff Exchange programme funded by the Marie Curie Actions of Horizon Europe. In his article you find information about this funding scheme and a description of the min research topics of this programme investigating the mathematics of deep learning.
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Electric machines are a key technology for energy conversion and decarbonisation of the electric grid. This emphasizes the importance of simulation and optimization tools for
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Refrigeration has a remarkable and often underestimated impact on global warming: globally, about 20% of the total electric energy is used for refrigeration. Additionally, conventional
Read moreThe recent study of the CyberSecPro European innovation project confirms the cybersecurity practical skills gaps in Europe [1]. CyberSecPro aims to bridge the gap between
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ECMI together with the Committee for Applications and Interdisciplinary Relations of the EMS, in cooperation with the ERC Mathematics Panel coordinator Maria Gonzalez, organise an online webinar
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The seismic reflection method involves sending acoustic waves thousands of meters under the Earth’s surface. The reflected signals provide scientists with information about the characteristics of the subsurface. Researchers at the Fraunhofer ITWM are able to process seismic data in greater detail.
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Programmable materials are true shape-shifters. At the push of a button, they change their properties in a controlled and reversible manner and adapt independently to new conditions. Areas of application include comfortable seating or mattresses that prevent bedsores. In this case, the carpet pad deforms in such a way that the contact surface is large and the pressure on the body parts is reduced as a result. Researchers at the Fraunhofer Cluster of Excellence »Programmable Materials« CPM are developing such programmable materials and bringing them to market together with industrial partners. One of the aims is to reduce the use of resources.
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By Morten Rotvold Solberg and Kristian Gjøsteen In the 1970s, Fields Medal winner Paul Cohen made the prediction that in the future, mathematicians would be
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Neural network – based approximation of Dirichlet-to-Neumann maps are shown, as part of our major project in machine learning.
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This week ECMI held its 35th Modelling Week in Verona, Italy with around 60 participants from all over Europe. These annual modelling weeks at ECMI
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