15 Minutes of FAME: PDE Surrogate Modeling
15 Minutes of FAME is the FAME Flagship’s monthly open morning coffee webinar series in which the Flagship’s researchers and partners […]
The future inverse problems experts gathered almost 70 course completions in FAME’s inverse problems summer school
As a cutting-edge competence centre on inverse problems, the FAME Flagship is dedicated in training skilled professionals for various needs
Advances in Machine learning, Data assimilation and Beyond
This workshop brings together researchers and professionals working on data assimilation, machine learning, and inverse problems. This event is organized
Kuopio AI in Inverse problems, Imaging, and Health (FAME- KAI3H) meeting
The University of Eastern Finland (UEF) has started to organise get-together events around the topics of AI in inverse problems,
Connecting people: FAME event maps out future solutions and collaborations
Expertise in mathematics and natural sciences advance new innovations and solutions to major global challenges. The FAME Flagship works with
A new inverse problems university network supports national doctoral training in a vital research field
Inverse problems, which seek to interpret indirect measurements of an unknown, arise in multiple contexts. Examples include studying the Earth’s
15 Minutes of FAME: Recent breakthroughs in Electrical Impedance Tomography
15 Minutes of FAME is the FAME Flagship’s monthly open morning coffee webinar series in which the Flagship’s researchers and partners
15 Minutes of FAME: Tomographic Imaging for Industrial Process Control: Monitoring and Control of Microwave Drying
15 Minutes of FAME is the FAME Flagship’s monthly open morning coffee webinar series in which the Flagship’s researchers and partners
Simulations and mysteries: New dissertation advances both existing and future solutions to monitor the Earth’s atmosphere
For one to make the best use of the data collected by satellites, an effective retrieval algorithm is needed. A
Public defence: Computational approach to challenges in Radiative Transfer for Remote Sensing of Atmospheric Composition
Doctoral Researcher Antti Mikkonen will defend his doctoral dissertation Computational approach to challenges in Radiative Transfer for Remote Sensing of