Seminar
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Emerging topics in active matter: from marine ecology to robotics

Symposium organised by the CHAIR theme AI for Scientific Data Analysis. Lunch is included.

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Overview

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Schedule

09:00 Anupan Sengupta: Microbes in a changing world: From physical ecology to climate-neutral opportunities 

09:40 Elisa Berdalet: Small-scale physical-biological interactions and chemical ecology involved on Harmful Algal Blooms processes

10:20 Paolo Vinai: Core diagnostics and monitoring of nuclear reactors using neutron noise and machine learning

11:00 FIKA 

11:20 Maria Guix Noguera: Embedding Animacy in Biohybrid Robotics

12:00 Juliane Simmchen: 'Alternative computation' and pathways to colloidal contributions 

12:40 LUNCH 

14:00 Hamid Kellay: From active particles to flexible, deformable, and motile superstructures: a new type of soft robot 

14:40 Stefano Sarao Mannelli: Mastering Many Tasks: Continual Learning with a Curriculum Twist

15:20 FIKA 

15:40 Bernhard Mehlig: Lyapunov exponents for neural networks

16:20 Joakim Stenhammar: Collective motion and hydrodynamic instabilities in a sheet of microswimmers

 

Additional contact person:

Giovanni Volpe, University of Gothenburg

 

AI for Scientific Data Analysis

This theme is about utilizing the power of AI as a tool for scientific research. AI can be applied to, and potentially speed up, discovery and utilization in a variety of research disciplines, such as microscopy, physics, biology, chemistry, and astronomy.

Caroline Adiels
  • Senior Lecturer, Institution of physics at Gothenburg University
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Agnese Callegari
  • Project Leader, Institution of physics at Gothenburg University
Contact