Neurogeometry of Vision and Information Geometry of Homogeneous Convex Cones

Abstract: These lectures will provide a comprehensive overview of information processing. We will start with information processing in early vision in static and geometric models of the primary visual cortex. Then, we will explore information processing in vision in dynamics. Finally, we gonna talk about the information geometry of Chentsov-Amari and homogeneous convex cones.

computational geometrymachine learningprogramming languagesdifferential geometryinformation theorydata analysis, statistics and probability

Audience: researchers in the topic

Mapping the Interdisciplinary Horizons of AI: Safety, Functional Programming, Information Geometry

Series comments: This year’s event offers a unique opportunity to explore the frontiers of AI and its intersection with other disciplines. Whether you are an experienced researcher or an aspiring practitioner, this event provides a platform for sharing knowledge, fostering collaboration, and gaining valuable insights from experts.

Insightful lectures by: Scott Aaronson (The University of Texas at Austin, USA), Seth Baum (Global Catastrophic Risk Institute, USA, University of Cambridge, UK), Olle Häggström (Chalmers University of Technology and University of Gothenburg, Sweden), Anders Sanberg (Future of Humanity Institute, University of Oxford, UK), Patrik Jansson (Chalmers University of Technology, Sweden), Frank Nielsen (Sony Computer Science Laboratories, Japan), Dmitri Alekseevsky (University of Hradec Králové, Czech Republic), Frédéric Barbaresco (Thales Land and Air Systems, France), Noémie Combe (Max Planck Institute for Mathematics in Sciences, Germany).

In addition, the event will provide participants with the opportunity to present their own research and receive valuable feedback from peers and experts. Contributions, subject to peer review, will also have the chance to be published by Springer Nature.