Singapore University of Technology and Design (SUTD)

Selected Aspect of Artificial Intelligence


Graduate Course, 1 - 5 June, 2020 (Distance-based)

For the second time this course is now taking place in Singapore and I am very happy to say that this is a great honour for me.

Like last year, the course will not only reflect past and present highlights of AI, but also give an outlook on what this may come to. Usually, there are many comments from experts and professionals, but especially the younger generation is often neglected. Therefore, the workshop outlined in the third part of the course will give all registrants the opportunity to mention how they see the developments in AI. For example: where are opportunities, where are risks? Where are the dangers, and where is the potential that society can bring further in the coming years? Often, AI is explained by "Intelligent Systems for the humans", but what happens in case we "allow" an autonomy?

The aims and goals of this course is to introduce to the field of Artificial Intelligence, its original idea, and its ongoing intersection with Data Science. As in 2019, the course is organised as follows:

  • Welcome, Organisation of the course
  • Introduction to AI and Historical Wrap-Up
  • The Weak AI as a synonym for the intersection (bridging) of AI with Data Science/Big Data.
    • Typically, Machine Learning as part of Data Mining should be mentioned here, but also
    • newest approaches in Natural Language Processing and other fields.
  • The Strong AI, which denotes the classical idea of simulating cognitive (human) intelligence by machines. This concerns learning, representation and retrieval of knowledge, the use adaptivity, the ability to reason, vision, et cetera. As an example, we concern
    • Natural Language Understanding: Word-sense disambiguation using a
    • Connectionist systems, which connect symbolic approaches with sub-symbolic approaches like Artificial Neural Networks
  • Days 4-5, future aspects of AI will be presented by the registrants to topics like AI and Healthcare, AI for a Deep Medicine, The Deep Fakes in Pictures, Videos, and Audio, AI and Law, AI and Robots, AI and my Sweet Home, AI and Self-driving Cars, AI and Nano-Robots, AI for an Architecture and Design, AI and Manufacturing, AI and Performing Arts, About Social Consequences of an AI, AI and Sports, AI and Deep Learning, AI and Ethics, or other topics of intterest.

The course will be done distance-based via Zoom.

Course Materials:

  • Day 1
  • Day 2
  • Day 3
  • Days 4 - 5


Graduate Course, 3 - 7 June, 2019 (on site)

Since its beginning in conjunction with machines, the field of Artificial Intelligence has been very much stamped by the desire to bring cognitive human abilities to machine, for example, to represent knowledge, to reason, to plan, to understand, to take logical conclusions, and to learn. However, the meaning of Artificial Intelligence has changed in the last years dramatically. Whereas the original idea still concerns the simulation as well as realisation of cognitive (human) abilities as mentioned above (so-called Strong AI), the recent achievements in hard-/software as well as the more and more efficient management of masses of data (Big Data) have intersected Artificial Intelligence and have led to a new discipline that is called Weak AI. Here, the human being is understood as to be the centric element while Artificial Intelligence serves as a supporting instrument. A first goal of the course has been to demonstrate the aforementioned situation by giving a selected example of both a weak and a strong AI. A second goal has been to sharpen the understanding of the need for natural language processing (in the sense of Artificial Intelligence through a deeper consideration of individual technical components. 

  • The aims and goals of this course was to introduce to the field of Artificial Intelligence, its original idea, and its ongoing intersection with Data Science. The course was split into 3 parts, where part 1 concerned the Strong AI, part 2 the Weak AI, and part 3 the Future aspects of Artificial Intelligence as such.
  • The course was organised as lecture (Part 1 and Part 2) and seminar workshop (Part 3).
  • We published a booklet about the Future Aspects of Artificial Intelligence - 11 scenarios presented by PhD and Master students from SUTD.

This course has taken place from 3 to 7 June 2019 at the Singapore University of Technology and Design (SUTD) with PhD and Master students, who filled the course with zeal, interest and thirst for knowledge.




Thank you!

In this light, I would like to thank M. Sasi Kumar, M. Lim Yi, Ms. Oh Xi Yu, M. Kim Seng Woon, M. Lucas Hui, M. Teik Guan Tan, M. Harry Lim, Ms. Thi Ngoc Nguyen, M. Kim Wai Cheuk, M. Matthew Yap, Ms. Shi Ke Ong, and Ms. Verina Cristie very much, not only for the extended abstract about their projects, but even more for their interest, passion, and the valuable discussions. I have felt a harmonious and vibrant atmosphere, which has contributed a lot to a successful learning. I also owe thanks to Mrs Jaclyn Chang and Mrs Irene Lee, both from the Office of Graduate Studies, for the excellent organization/support before and during the course as well as the foresightness and proactivity, with which we all have been accompanied. Last but not least, I would like to express my sincere gratitude to Professor Roland Bouffanais, who has invited me to Singapore and who has offered me the opportunity to hold the course at SUTD. This has not only allowed me to apply my pedagogical skills in a new cultural environment, but also to take the experiences, which I have gained, back to Luxembourg.