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Reinforcement learning and interpretable models: The trust bridge in AI-driven pharmaceutical process optimization

In this talk, we discuss potential of interpretable AI-driven process optimization in the pharmaceutical sector, emphasizing a collaborative approach that involves business leaders, domain experts, operators and AI researchers. Join us to explore how, through transparent and intuitive AI systems, organizations can foster a culture of innovation and trust, steering the industry towards convergence of expert knowledge and AI technology.

Event Timeslots (1)

@The studio
-
by Siegfried Mercelis
#healthcare #case

Siegfried Mercelis

// Assistant Professor & Program Manager AI Applications @ IDLab - University of Antwerp - imec
Siegfried Mercelis is an assistant professor at the University of Antwerp. He has master degrees in both music production and engineering (electronics...