New Special Interest Group to support inter-flagship collaboration on inverse problems and AI

The FAME Flagship of Advanced Mathematics for Sensing, Imaging and Modelling and the Finnish Centre for Artificial Intelligence (FCAI) will join forces in a new Special Interest Group (SIG) to explore and advance shared goals between their respective areas of expertise.   

“The development and implementation of experimental solutions for such error-prone challenges as inverse problems requires strong interplay between modelling and measurements”, says Professor Jussi Tohka, who will chair the new SIG. “Various AI-based methods have emerged as powerful alternatives to traditional mathematical and computational methods to solve inverse problems.”

FCAI and FAME SIG AI for inverse problems and imaging aims to bring together experts and research groups from all over Finland to exchange ideas and collaborate. The group will organise workshops, seminars, and networking events to support collaboration among research groups and stakeholders and fully utilise the synergies between the two flagships.

“In particular, this SIG brings together two flagships of the Finnish Flagship Programme focused on methodology development to co-operate in the development of novel technologies”, says Professor Tohka.

FCAI was among the first competence centres established under the Research Council of Finland’s Flagship Programme. Initiated by Aalto University, University of Helsinki, and VTT Technical Research Centre of Finland, FCAI is a key player that contributes to the implementation of Finland’s national artificial intelligence programme. To create “Real AI for Real People in Real World” as its mission, the research at FCAI focuses on data efficiency, understandability, and trust and ethics.

FCAI Special Interest Groups gather and explore AI-related themes and ideas, providing dynamic forums of networks across multiple fields and applications. Already active SIGs focus on themes such as AI for health, neuroscience, language processing, and quantum computing.