Trondheim. Quantum Harmonic Analysis and Functional Data

Franz Luef, Department of Mathematical Sciences, NTNU Henry McNulty, Department of Mathematical Sciences, NTNU, and Cognite AS Industry is awash with time series data, from

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Trondheim. Quantum Machine Learning

Kurusch Ebrahimi-Fard, Department of Mathematical Sciences, NTNU  Fabian Harang, Department of Economics, Norwegian Business school, Oslo Fride Straum, Department of Mathematical Sciences, NTNU  Propelled by

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Trondheim. A Data-driven Framework for Personalised Cancer Screening

Markus Grasmair, Department of Mathematical Sciences, NTNU  Cervical cancer is one of the most common types of cancers in women worldwide and accounts for over

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Trondheim. REMODEL a MSCA Staff Exchange programme on the Mathematics of Deep Learning with Applications

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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Trondheim: Secure internet voting

This blog post on secure internet voting describes cryptology research at NTNU which has had impact on electronic elections in the Church of Norway.

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Trondheim. Maritime Autonomous Sampling and Control

The vast oceans will always be under-sampled, but with the availability of satellite data and physics-based numerical ocean models one can gain nuanced insight about a variety of ocean variables.

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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.

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Call for Nominations of Candidates for the EMS/ECMI Lanczos prize for Mathematical Software – deadline December 31st 2023

Background One of the main ways mathematical advances have impact in science, engineering, society, and industry is via their implementation in software. In order to

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25 years of MaGIC: Manifolds and Geometric Integration Colloquia, in Norway

The first time we organised MaGIC it was in 1999 in Ustahoset, Norway. The group of participants was not very big and we all lived

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CutFEM: Discretizing Partial Differential Equations and Geometry

by Andre’ Massing The burden of mesh generation The generation of meshes, as a fundamental prerequisite for the majority of computational methods for partial differential

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