SOURCE-LINKED INTELLIGENCE
Geometry-driven self-organisation in active living matter
geometry generates functional behaviours, such as autonomous object avoidance or embryo self-organisation (WP3). Lastly, we will leverage the visual accessibility of geometrical features to probe how machine learning approaches infer geometry-driven states and transitions from images, and to test our information theoretical predictions on shape sensing (WP4). GOAL will likely lead to the discovery of universal principles for shape-adaptive matter, because the nonlinear dependencies that arise from geometrical relations express fundamental mathematical properties of space that hold across all scales and contexts. physical information processing, anisotropic living matter
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1473000
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.