Prof. Dr. Thomas Seidl
talks about machine learning and the limitations of artificial intelligence in his AI lecture.
Having featured in many fictional contributions to world literature, the colorful concept of artificial intelligence began to be implemented in a diverse array of technologies from the middle of the 20th century onward. This is now giving rise to impressive developments across all areas of science and civil society in the 21st century.
In his lecture, Thomas Seidl, Professor of Computer Science at LMU, will talk about the latest developments in artificial intelligence. Besides reflecting on the terminology and limitations of artificial intelligence, the lecture will present selected practical issues related to machine learning, particularly around the preparation and analysis of data necessary for automated learning.
In addition, Professor Seidl will offer insights into research at the Munich Center for Machine Learning. He will discuss the methodological foundations and the development of new technologies in image and speech recognition. He will also present examples of the challenges involved in applying artificial intelligence methods.
Professor Thomas Seidl is Professor of Computer Science. He is Chair of Database Systems and Data Mining at LMU’s Faculty of Mathematics, Informatics and Statistics and Director of the Munich Center for Machine Learning.
The event will take place in German via Zoom. Registration is requested in advance. Further information on the lecture series is available at lmu.de/ki-lectures.