A workshop of the ECMI Special Interest group Mathematics for Big Data and Artificial Intelligence Organized by Alessandra Micheletti (Univ. of Milan), Nataša Krejić (Univ.
Read more
Category: big data
Trondheim. Geophysical data inversion in a probabilistic setting
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.
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
Read more
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
Read more
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
Read more
ECMI Webinar “Maths for Industry 4.0”, Dec. 2-3, 2020
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
Read more
ECMI Webinar “Math for Industry 4.0 – Models, Methods and Big Data”, December 2 – 3, 2020
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
Read more
PRecision crop protECtion: deep learnIng and data fuSION
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 moreITWM Researcher Stefanie Schwaar Establishes New Research Group for Artificial Intelligence
Dr. 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
Read more
Improving tax collection with big data analytics
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 more