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.
Omar Adame (NL)
Nuno Araújo (PT)
Félix Benoist (PT)
Jasna Brujic (US)
Daniele De Martino (ES)
Carl Goodrich (AT)
Daniel Hexner (IL)
William Jacobs (US)
Omer Karin (UK)
Tuomas Knowles (UK)
Andrej Košmrlj (US)
Andrea J. Liu (US)
Davide Marcato (PT)
M. Carmen Miguel (ES)
Rémi Monasson (FR)
Saeed Osat (DE)
Michael Rennick (UK)
Olivier Rivoire (FR)
Leonor Saiz (US)
Peter Sollich (DE)
Petr Šulc (US)
Nex Stuhlmüller (NL)
Tzer Han Tan (US)
Ryan van Mastrigt (FR)
Tim Veenstra (NL)
Sam Wilken (DE)
BingKan Xue (US)
Zorana Zeravcic (FR)
Mengjie Zu (AT)
David Zwicker (DE)
