machine learning

Quantum Computing Workshops Fraunhofer ITWM

Kaiserslautern. Quantum Research at Fraunhofer ITWM: Making Future Technology Usable for Industry

March 11, 2026 esther.packullat ECMI Nodes, Featured, Featured Ecmi Node, Kaiserslautern

Quantum technologies are one of the most promising future technologies and are receiving a great deal of attention in the research landscape. Fraunhofer ITWM in Kaiserslautern focuses on Quantum Computing with the aim of using quantum processes to solve complex problems in science, business, and administration more efficiently. To transfer knowledge to the industry, the institute offers seminars for companies.

AI in Decision Making at NTNU

February 13, 2026 celledoni NTNU, Trondheim, SINTEF, statistics

Snow Ploughing and AI: A Case Study in Decision-Making In late January, the AiD – Center for AI in Decision Making at Norwegian University of Science and Technology(NTNU)

Trondheim. The Geometry of Data – Why Machine Learning Needs Signatures

February 12, 2026 celledoni Computational Finance, Featured, Featured Ecmi Node

By Kurusch Ebrahimi-Fard and Fabian Harang Introduction Think of scribbling a digit on a digital tablet. You might write the number ’3’ slowly, with hesitations,

Trondheim. The MaGIC and REMODEL Meetings in Norway

February 3, 2026 celledoni ECMI Nodes, Featured Ecmi Node, Mathematics in Technology at NTNU, Research and Innovation, Trondheim

By Brynjulf Owren NTNU Norwegian University of Science and Technology In the week April 6-10, 2026, just after Easter, we are organizing the MagiC workshop

Trondheim. DIScover — discovering dynamics from data, with uncertainty built in

February 2, 2026 celledoni Featured, Featured Ecmi Node, Mathematics in Technology at NTNU, NTNU, Trondheim, Project in focus, statistics, Trondheim, Uncategorized

By Mats Ehrnström NTNU Norwegian University of Science and Technology DIScover is a collaboration and centre proposal in mathematical sciences designed to make dynamical discovery

Coimbra. Hybrid Algorithms: Surpassing the Complexity and Challenges of Real-World Problems.

January 27, 2026 Adérito Araújo ECMI Nodes, Featured

In the dynamic landscape of real-world problem-solving, the challenges have reached unprecedented levels of complexity. Addressing these intricate issues demands intelligent models and algorithms that

Diagram of the machine learning approach in MLTI-PHASE

Limerick. Development of a Novel Machine Learning-based model for Multiphase flows (MLTI-PHASE)

February 28, 2025 jamesmccormack1ddd9837ee Featured, Limerick

By Dr. Shahid Husain Multiphase flow (MF) is the simultaneous flow of materials with two or more thermodynamic phases. MF occurs in numerous settings: bioengineering,

Limerick. Data-Driven Models for Greening Ireland’s Power Grid

February 25, 2025 jamesmccormack1ddd9837ee Environment, Featured, Limerick, Renewable energy, Solar energy

By Maeve Upton. Mathematics Applications Consortium for Science and Industry (MACSI), Department of Mathematics & Statistics, University of Limerick As Europe transitions toward a more