TAISIG Talks June 17th, 2021

On June 17th, 2021, from 5:00 to 6:00 p.m., the fifth 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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Artificial intelligence for Diagnostic Imaging 

Sharon Ong, Assistant Professor at the Department of Cognitive Science and Artificial Intelligence

The advances in deep learning combined with the large amount of clinical image data, artificial intelligence (AI) for medical imaging is one of the most promising areas of innovation in healthcare. AI tools can improve detection and diagnostics by automatic analysis of different image modalities such as X-rays, Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). Sharon Ong’s project on implementing an AI system to detect bone lesions in the clinical workflow will be showcased. This project is a collaboration with the Radiology and Medical Physics departments at Elisabeth-TweeSteden Ziekenhuis in Tilburg.   

AI & Data for Crisis Management: From potential to impact

Kenny Meesters, Researcher and Lecturer at the Department of Management

During crisis and disaster responses, people are faced with unknown situations with a high level of uncertainty. At the same time there is an increased time pressure and high stakes that require actors to work together to help people in need. To reduce this uncertainty and increase the collaboration, information plays a vital role. Kenny Meesters will introduce and explore the world of information & data behind response to large- and small-scale critical events. Using recent disasters, ongoing projects and project trends, we'll examine the potential of data and ICT to support emergency responders and affected communities, but also illustrate pitfalls when leveraging this potential into practice.

Challenges of active perception

Yash Satsangi, Assistant Professor at the Department of Cognitive Science and Artificial Intelligence

Active perception is defined as the ability of an agent to take actions to reduce its uncertainty about the environment it is acting in. In his talk, Yash Satsangi will discuss the challenges posed by the problem of active perception and how planning and learning algorithms can help tackle these challenges. Specifically, he will talk about how information gathering in partially observable environments can be cast as a reinforcement learning problem and how we can leverage this framework to tackle the challenge of active perception. As an example application, the talk will feature a multi-camera tracking system that is able to allocate its own resources dynamically depending on the scene that it monitors.

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TAISIG

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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