Dr. Izaak Neri
(London, UK)
Dr. Pablo Sartori
(Lisbon, PT)
Small living systems composed of soft matter often need to infer signals from scattered data in their environment. This raises the question on how algorithms for statistical inference, such as those used by neural networks, can be implemented in soft-matter systems. Examples are, amongst others, inference algorithms implemented by multicomponent liquids, assemblies, chemical reaction networks, and elastic networks. We will also discuss the limitations and advantages of using soft matter for statistical inference.
Nuno Araújo (PT)
Jasna Brujic (US)
Daniele De Martino (ES)
William Jacobs (US)
Omer Karin (UK)
Tuomas Knowles (UK)
Andrej Košmrlj (US)
Andrea J. Liu (US)
Remi Monasson (FR)
Olivier Rivoire (FR)
Peter Sollich (DE)
Petr Šulc (US)
BingKan Xue (US)
Zorana Zeravcic (FR)
David Zwicker (DE)
