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
What is optical tomography really?
Have you ever directed a red or green laser pointer at your fingertip and watched it glow from the other
Unmapped territories in our society? The Research Council of Finland Award presented to Olle Järv for his work in human geography
The Research Council of Finland Award is presented annually to promising rising talents. Academy Research Fellow Olle Järv earned this
15 Minutes of FAME: Learned reconstruction methods – combining the model and data regime
15 Minutes of FAME is the FAME Flagship’s monthly open morning coffee webinar series in which the Flagship’s researchers and partners
FAME maintains and develops its scientific excellence with the help of an external Scientific Advisory Board
At the heart of FAME lies the vision of an internationally leading competence centre which will provide beyond cutting-edge methods
15 Minutes of FAME: Edges in imaging: a problem or a challenge?
15 Minutes of FAME is the FAME Flagship’s monthly open morning coffee webinar series in which the Flagship’s researchers and partners
Outside the (black) box: Combining targeted deep learning and inverse mathematics for future potential
A Finnish dissertation explored imaging-related inverse problems with machine learning and traditional algorithms. Even old theories can help to break
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,
Public defence: Bayesian Optimal Experimental Design in Inverse Problems: Applications and Stability
Jose Rodrigo Rojo Garcia, Master of Science in Mathematics, will defend his doctoral dissertation in the field of Computational Engineering at