Stability of self-organizing net fragments as inductive bias for next-generation deep learning
Description
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.
Key Data
Projectlead
Project team
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
Project partners
Universität Zürich / Neural Learning and Intelligent Systems Group; Universität Freiburg / Center Faith & Society
Project status
ongoing, started 09/2023
Funding partner
Kanton Zürich / Digitalisierungsinitiative DIZH
Project budget
189'504 CHF
Publications
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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
