Optimizing the performance and production of a stone crushing process

Researchers from the Centre for Rapid and Sustainable Product Development (CDRSP), a research unit of the Polytechnic of Leiria, in collaboration with a metallomechanics engineering company from the region of Leiria with several years of experience in the stone industry are working together on a mathematical model to develop an […]

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35th ECMI Modelling Week in Verona

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 partner universities involve students working for a week in small multinational groups on projects based on real problems. Each group is led by an ECMI-instructor […]

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ECMI Students Competition 2022: winner announcement

We are happy to announce that the ECMI 2022 Student Competition, sponsored by ECMI and by fleXstructures GmbH, has been won by the team MTI Mittelrhein, composed by Andreas Müller, University of Koblenz (Germany) for the report entitled Forward dynamic analysis of a muscle fatigue model using a multi body simulation model […]

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The ECMI Students Competition 2022 is open

The European Consortium for Mathematics in Industry (ECMI) and fleXstructures GmbH invite teams of students of Bachelor, Master or PhD levels in an ECMI member institution to the ECMI 2022 Student Competition. Each team should present their solution to a mathematical problem of social or economic importance. Who can apply? Teamwork is allowed with 1 up to […]

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Estimation and simulation of fractional Ornstein-Uhlenbeck processes, using deep neural networks

There is now a great deal of interest in parameter estimation of Ornstein-Uhlenbeck processes in finance because of its modelling capability (see e.g. [1]). That is why we investigated prediction of the unknown parameters with neural networks in the hope that we will obtain more accurate estimators than the ones […]

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Mathematics Expert in Data Analytics and Machine Learning

A new program has started for graduates at Eötvös Loránd University: This program is for those, who want to be among the winners of the socio-economic transformations generated by artificial intelligence. It is well-known than those can make the most of the possibilities offered by artificial intelligence who well understand […]

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Neural networks for boundary value problems

We report here a promising approach to use neural networks for the efficient numerical solution of boundary value problems. According to the theory of boundary integral equations and the so-called method of fundamental solutions, the principal concept is to approximate the solution by a linear combination of fundamental solutions.Neural networks […]

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GENEO and Explainable Machine Learning applied to protein pocket detection

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 University of Milan and University of Bologna, to problems of drug design and molecular docking. The research is developed in collaboration with Dompé, an Italian […]

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