This seminar introduces how learning can emerge from the dynamics of physical systems. We will compare contrastive learning with Hebbian adaptation and highlight key differences with traditional computational learning.
March 24 - 25, 2026
· AMOLF Colloquium room · Meeting · Various speakers
Physical Learning meeting 2026
Learning is the process by which functional systems improve their capabilities, central to biology and AI. An important emerging question is how learning algorithms can be physically implemented, for applications …
Symposium to celebrate scientific highlights during the directorship of Huib Bakker
The program will feature a series of short scientific highlight presentations by AMOLF group leaders, covering a broad range of fascinating research topics. Institute Manager Paula van Tijn will offer …
Multistability, where a system can adopt multiple distinct stable states and switch between them in response to external driving, is common across many complex systems, from crumpled sheets and metamaterials …
