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SYAI: Symposium AI in (Bio-)Physics

SYAI 1: AI in (Bio-)Physics

Donnerstag, 20. März 2025, 09:30–12:15, H1

Artificial intelligence is revolutionizing scientific research, including the study of biophysical systems. The symposium will explore how AI and machine learning can enhance biophysics research, with applications ranging from predictive modeling of biomolecular interactions and high-throughput data analysis to the development of machine-learned force fields and artificial scientific discovery. The goal of this symposium is to create a dynamic forum for scientific exchange in this rapidly developing field, providing novices with a valuable head start while helping experts stay at the forefront of cutting-edge developments. The conceptual nature of AI-powered research approaches will make the discussed topics highly relevant to a broad audience.

	09:30	SYAI 1.1	Hauptvortrag: Predicting interaction partners and generating new protein sequences using protein language models — •Anne-Florence Bitbol
	10:00	SYAI 1.2	Hauptvortrag: Realizing Schrödinger's dream with AI-enabled molecular dynamics — •Alexandre Tkatchenko
	10:30	SYAI 1.3	Hauptvortrag: Emergent behavior of artificial intelligence — •Steffen Rulands
	11:00		15 min. break
	11:15	SYAI 1.4	Hauptvortrag: AI in medical research - navigating complexity with AI — •Daniel Truhn
	11:45	SYAI 1.5	Hauptvortrag: Computational Modelling of Morphogenesis — •Dagmar Iber