Kick-off of the TAISIG Talks


Date: Time: 17:00 Location: Online

The TAISIG Talks feature a series of short online presentations on a broad variety of topics related to recent developments and achievements of Tilburg University in the field of Artificial Intelligence.

On May 20th, 2021, from 5:00 to 6:00 p.m., the fourth edition of TAISIG Talks will take place. 
The lectures will be moderated by Dr. Marie Postma and Prof. Dr. Emile Aarts. 

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  • Pieter Spronck

    prof. Pieter Spronck

    Professor (TSHD)

    neural networks, computer science, gaming/simulation



  • Afra Alishahi

    dr. Afra Alishahi

    Associate Professor (TSHD)

    computer models, computer linguistics, language acquisition

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  • Picture of Katrijn van Deun

    dr. Katrijn Van Deun

    Associate Professor (TSB)

    data mining, methodology & statistics

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Using games in AI research

Pieter Sproncks' research focus is on the artificial intelligence in computer games. His research interests cover both how AI in games can be made stronger or more natural, and what game AI can learn from human players. In his talk he will cast a critical look on the reasons why one should use games in AI research, and on some of the remarkable results achieved in game AI in recent years.

Decoding what deep neural models learn about language

Deep neural networks have become a central component in language and speech technologies, but the improvement in performance they offer comes at a cost: we know little about what these models acquire about spoken or written language. To address this challenge, various analytical techniques have recently been proposed for interpreting the representations and computations that these networks learn. Afra Alishahi will review the dominant approaches and, as a case study, present a series of experiments on understanding emergent linguistic representations in neural models of visually grounded language.

New data science methods

Katrijn Van Deun's research focuses on the development of new data science methods for the analysis of big data. This is data are from multiple sources and consists of a huge number of variables. During the TAISIG Talks she will discuss these developments, which help to gain insight into large collections of data for a limited sample size. In particular, there will be a focus on high-dimensional (thousands of measurements) and multi-block data (e.g., multi-view data, multi-modal data) which are very relevant in the context of multi-disciplinary research.

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TAISIG is the Tilburg University Artificial Intelligence Special Interest Group: a research community committed to AI. TAISIG specializes in AI methodology & algorithms, AI concepts and applications, and ELSA (Ethical, Legal and Societal Aspects of AI).

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