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
Connect & Collaborate Event Series
26. – 28.8.2025 Aalto University, Otaniemi campus, Espoo The FAME Flagship warmly welcomes all interested companies and organisations to a
Inverse Problems at Jyväskylä Summer School 2025
For over three decades, the Jyväskylä Summer School has gathered students from all over the world to deepen their expertise
Public defence: Ill-posed Microlocal Imaging Using Targeted Deep Learning
Doctoral Researcher Siiri Rautio will defend her doctoral dissertation Ill-posed Microlocal Imaging Using Targeted Deep Learning in the Faculty of
15 Minutes of FAME: How can we find the interior structure of the Earth from earthquake data?
15 Minutes of FAME is the FAME Flagship’s monthly open morning coffee webinar series in which the Flagship’s researchers and partners
Hei yläkoulu- tai lukioikäinen nuori, vastaa kyselyyn ja vaikuta!
Matemaattisen mallinnuksen, havainnoinnin ja kuvantamisen lippulaiva (FAME) on Suomen Akatemian rahoittama, seitsemän suomalaisen yliopiston ja Ilmatieteen laitoksen muodostama soveltavan matematiikan
Hej ungdom i årskurs 7–9 eller gymnasiet, svara på enkäten och påverka!
Flaggskeppet för matematisk observation, bilddiagnostik och modellering (FAME) är ett kompetenskluster för tillämpad matematik och fysik som finansieras av Finlands