I am a professor in Artificial Intelligence at the Cognitive Science & AI department at Tilburg University and at the Jheronimus Academy of Data Science in ‘s-Hertogenbosch, a joint initiative of Eindhoven University of Technology and Tilburg University.
I perform AI research (see below), teach courses on AI, and give “down-to-earth” lectures for organisations and industry on the latest developments and impact of AI.
My research focuses on pattern recognition in humans and machines. Although the term “pattern recognition” is not in vogue anymore, it does capture the human capability to perceive patterns in images, signals, and data in general. Nowadays, deep learning and generative AI algorithms excel in pattern recognition on narrow domains.
Most of my scientific work addresses pattern-recognition tasks that can be performed by humans but also by machines.
For instance, the task of attributing artworks to their artists is a skill mastered by human connaisseurs but can also be performed by AI algorithms. What fascinates me is how AI algorithms differ in their performances from humans. AI algorithms are not hindered by biases about the economic consequences of attributions, whereas humans have a much richer understanding of the meaning and historical context of artworks.
Another, possibly less media-savvy example is the detection of exoplanets from light curves. Essentially, the task comes down to the detection of repeating dips in time series. Humans perform this task using their pattern recognition skills and understanding of stellar and planetary dynamics, whereas AI algorithms perform brute-force pattern recognition.
I am also involved in application-oriented projects that focus on the integration of AI techniques to support a more sustainable future. The ILUSTRE project was initiated together with Renato Calzone and Rigo Selassa (LaNubia) and studies how AI can be used for water and energy management in Curaçao and the Caribbean region. The project is part of the nation-wide ROBUST program and hosts five PhD researchers.
AI algorithms provide powerful tools that in many ways exceed the human pattern-recognition capabilities, but require careful guidance by human domain experts that are aware of the strengths and limitations of AI.
I am member of SIGAI, IPN, the Lorenz center Computational Science Board, Scientific Board member of Kennisnet, and board member of the NL Advisory Council of CLAIRE.
How should society deal with AI?
Professor Postma’s essay (in Dutch / English), gives a gentle and down-to-earth overview of AI and describes how we should transform into a digital society. The essay is part of a bundle of essays published by NL DIGITAAL.