Geophisical data inversion is crucial for understanding properties of the subsurface.
The vision in this projects has been to
– provide creative mathematically based solutions to recognized challenges in reservoir evaluation,
– develop methodologies for analysis of spatial and spatio-temporal phenomena.
Alessandro Benfenati, Paola Causin, Roberto Oberti Università degli Studi di Milano Crop protection from diseases through applications of plant protection products is crucial to secure
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February 25, 2022 Aims of the workshop: Nowadays the data deluge is the hallmark of a new kind of ‘Law of Large Numbers’ that builds
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This post deals with some new geometrical techniques for explainable machine learning, called GENEOs [1], that we are applying in a research group working at
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This is the 2nd announcement for the ECMI WEBINAR “MATHS FOR INDUSTRY 4.0 – MODELS, METHODS AND BIG DATA” jointly organised by the Special Interest
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In a joint activity of the Special Interest Groups Mathematics for Big Data and Math for the Digital Factory of the European Consortium for Mathematics
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Current farming practices require a uniform application of pesticides in order to protect crop plants from pest and disease. These treatments are typically repeated at
Read moreDr. Stefanie Schwaar from the Fraunhofer Institute for Industrial Mathematics ITWM won the BMBF’s call for tenders for funding among young female AI researchers. She
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Tax evasion is one of the major obstacles to increasing the competitiveness of an economy. It directly and negatively affects the conditions for business activities
Read moreThe goal of the training course, realized within the H2020 Marie Skłodowska-Curie project Big Data Challenges for Mathematics, Grant Agreement No 812912, is to provide an
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