We are happy to announce that the jury of the ECMI Student Prize 2023 has examined the received reports and decided to award the prize
Read moreAuthor: Alessandra Micheletti
TOWARDS AN ENVIRONMENTALLY SUSTAINABLE AGRICULTURE: MATHEMATICS AND DEEP LEARNING IN THE FIELD
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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Industrial PhD for Intersectoral Innovation at University of Milan
University of Milan has recently activated a new industrial PhD programme, named Intersectoral Innovation, in the framework of the national recovery plan. The PhD programme
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ECMI Students Competition 2023
The European Consortium for Mathematics in Industry (ECMI) and Girteka Logistics invite teams of students of Bachelor, Master or PhD levels in an ECMI member institution to the ECMI 2023 Student Competition.
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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
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Statement from the ECMI board members on the Ukraine invasion
We, as members of the board of the European Consortium for Mathematics in Industry, join the International Mathematical Union, the European Mathematical Society, and the
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Big Data challenges for Mathematics: state of the art and future perspectives – online workshop
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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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.
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interview to the winners of the ECMI STUDENTS COMPETITION 2021
The ECMI Students Competition 2021 was won by the two groups Mathdisk and Inetfomm. The selection committee run the following interview to the winners. TEAM
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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
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