Tutors: Dr. Matteo Zella, Arman Arzani
Artificial intelligence has been conquering the industry in the last decade. It powers most of today’s high-tech products. It fuels our smartphone’s speech/face recognition, ranks our web search results as in a simple google search, and recommends relevant videos and content to its users. It even beats the world champion at the game of Go. Before we know it, it will be driving our car into the sunset.
In this seminar, we will be examining the artificial intelligence behind the world wide web, investigating AI-based search and recommendation engines. Considering the immensity of AI, we will narrow it down to a sub-genre of AI: “web-based AI”. There we would tackle a variety of topics such as natural language detection, voice-based search, technology and innovation index prediction, recommendation-based systems, AI in search engines, User experience, and chatbot reply predictions.
Based on the number of participants, the seminar will be organized as a set of scientific papers on selected topics, which are distributed by us. The topics are then selected and worked on by participants based on areas of interest. At the end of the seminar, each student holds a presentation as well as write a scientific survey on the topic.
Due to the ongoing situation regarding COVID-19, the seminar kickoff meeting will be held in an online format on April, 19th from 10 to 12. In order to join the kickoff meeting and the course, it is necessary for the participants to send an email to arman.arzani@uni-due.de for the initial registration. You will then be added to the Moodle course, where the procedures and the seminar material will be made available.
This seminar is suitable for students at the bachelor level. The students attending this seminar can prepare their material in either English or German, depending on their language preference. Please also note that the maximum number of participants is limited. If you have questions regarding this seminar, please send an email to arman.arzani@uni-due.de.
Find further information in LSF.