ENBIS-24 Leuven Conference

Session

AI in industry 2

17 Sept 2024, 15:05

Leuven, Belgium

Conveners

AI in industry 2

• Marina Vives-Mestres (Curelator Inc.)

39. Learning Ordinal Preferences on Wearable Devices through Reinforcement Learning using Time-Dependent States

Mr Simon Weinberger (EssilorLuxottica & Université Lumière Lyon 2)

17/09/2024, 15:05

AI in Industry

Reinforcement learning proposes a flexible framework that allows to tackle problems where data is gathered in a dynamic context: actions have an influence on future states. The classical reinforcement learning paradigm depends on a Markovian hypothesis, the observed states depend upon past states only through the last state and action. This condition may be too restrictive for real-world...

98. Optimizing Polymeric Fed-Batch Processes Using Reinforcement Learning

Mr Omid Sobhani (University of Antwerp - imec)

17/09/2024, 15:25

AI in Industry

Reinforcement Learning (RL) has emerged as a pivotal tool in the chemical industry, providing innovative solutions to complex challenges. RL is primarily utilized to enhance chemical processes, improve production outcomes, and minimize waste. By enabling the automation and real-time optimization of control systems, RL aims to achieve optimal efficiency in chemical plant operations, thereby...

112. Multimodal AI for Warehouses Monitoring

Emma van Doren

17/09/2024, 15:45

AI in Industry

The integration of multimodal artificial intelligence (AI) in warehouses monitoring offers substantial improvements in efficiency, accuracy, and safety. This approach leverages diverse data sources, including visual, and speech sensors, to provide comprehensive monitoring capabilities. Key challenges include the fusion of heterogeneous data streams, which requires sophisticated algorithms to...