Stability of self-organizing net fragments as inductive bias for next-generation deep learning
Beschreibung
We recently released "A Theory of Natural Intelligence", proposing a possible key to the emergence of intelligence in biological learners. Goal of this fellowship is to develop a technical implementation of the concept of self-organizing netfragments within contemporary deep artificial neural nets.
Eckdaten
Projektleitung
Projektteam
Dr. Ricardo Chavarriaga, Dr. Oliver Dürr, Prof. Dr. Rudolf Marcel Füchslin, Prof. Dr. Benjamin Grewe, Prof. Dr. Christoph Heitz, Prof. Dr. Thomas Ott, Pascal Sager, Prof. Dr. Christoph von der Malsburg
Projektpartner
Universität Zürich / Neural Learning and Intelligent Systems Group; Universität Freiburg / Center Faith & Society
Projektstatus
laufend, gestartet 09/2023
Institut/Zentrum
Centre for Artificial Intelligence (CAI); Institut für Computational Life Sciences (ICLS); Institut für Angewandte Mathematik und Physik (IAMP); Institut für Datenanalyse und Prozessdesign (IDP)
Drittmittelgeber
Digitalisierungsinitiative der Zürcher Hochschulen DIZH
Projektvolumen
189'504 CHF
Publikationen
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Assessing deep learning : a work program for the humanities in the age of artificial intelligence
2023 Segessenmann, Jan; Stadelmann, Thilo; Davison, Andrew; Dürr, Oliver
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Assessing deep learning : a work program for the humanities in the age of artificial intelligence
2023 Segessenman, Jan; Stadelmann, Thilo; Andrew, Davison; Oliver, Dürr
Technikumstrasse 71
8400 Winterthur