Symposium organised by the CHAIR theme AI for Scientific Data Analysis. Lunch is included.
Overview
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
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
Caroline Adiels
- Senior Lecturer, Institution of physics at Gothenburg University
Agnese Callegari
- Project Leader, Institution of physics at Gothenburg University
Agnese Callegari
- Project Leader, Institution of physics at Gothenburg University