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introduction

The Oxford Dictionary defines Artificial Intelligence (AI) as the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.

AI has aroused widespread interest in the public and private sectors, due to the various technological developments and impacts it has had and continues to have on society. In addition, it is booming from the scientific point of view because of all the disciplines, areas, and techniques that are applied.
 

OBJECTIVE

The National Colloquium in Artificial Intelligence seeks to bring together specialists in the areas that make up AI to give lectures on topics of their specialty. The guests are contacted by the organizing committee. The talks are scheduled for 50 minutes and are mainly addressed to researchers and graduate students.

 

This Colloquium is broadcast once a month, usually on Wednesdays at 12:00 pm on the YouTube links of the organizing institutions.

NEXT session

Aprendizaje automático y la IA para las ciencias. Hacia la comprensión

Abstract:

 In recent years, machine learning (ML) and artificial intelligence (AI) methods have begun to play a more and more enabling role in the sciences and in industry. In particular, the advent of large and/or complex data corpora has given rise to new technological challenges and possibilities.

In his talk, Müller will touch upon the topic of ML applications in the sciences, in particular in neuroscience, medicine and physics. He will also discuss possibilities for extracting information from machine learning models to further our understanding by explaining nonlinear ML models. E.g. Machine Learning Models for Quantum Chemistry can, by applying interpretable ML, contribute to furthering chemical understanding. Finally, Müller will briefly outline Perspectives and limitations.

Participants:

Prof. Dr. Klaus-Robert Müller - TU Berlin, Korea University, MPI for Informatics and Google Research, Brain Team.

 

Klaus-Robert Müller received his Ph.D. in theoretical computer science from the University of Karlsruhe. From 1994 to 1995 he was a research fellow at Shun'ichi Amaris lab at the University of Tokyo. 1999 Müller became an associate professor for neuroinformatics at the University of Potsdam, transitioning to the full  professorship for Neural Networks and Time Series Analysis in 2003. 

Since 2006 he holds the chair for Machine Learning at the Technical University Berlin where he has done pioneering work on SVMs, EEG classification and NNs applied to physics. Since 2012 he holds a distinguished professorship at Korea University in Seoul. He co-founded and is co-director of the Berlin Big Data Center (BBDC) of the Technical University Berlin. Prof. Müller is one of the most cited AI scientists in the world.

Moderator:

Dr. Raúl Rojas - Freie Universität Berlin

Date:

Wednesday September 30th - 12:00 hours (Central Time)

Schedule