Machine Learning

Our world is increasingly driven by data. The data we collect can improve decision-making in all aspects of our society, from treating disease to optimizing logistics processes and traffic flows. For existing machine learning techniques to work effectively in practice, it is important to improve access to data, as well as their use, quality, labeling, sensitivity, security and prediction capabilities.

Delft University of Technology strives to make machine learning techniques more effective and user-friendly.

Team Machine Learning

We are always open to introductions and new partnerships that drive innovation and progress.

Venkatesh Chandrasekar

Business Development Manager AI

Taylor Stone

Program and Community Manager TU Delft AI Initiative

Frans Oliehoek

Associate Professor Interactive Intelligence Group

Jens Kober

Associate Professor, Cognitive Robotics department (CoR)

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