Arrangement

Machine learning for Science and Society - and Danish Industry - Alsion

Et foredrag om perspektiverne i kunstig intelligens for videnskaben, samfundet og industrien.

Sønderborg

Tirsdag d. 04. september 2018

Kl. 16:00 - 18:00

Fra 0 kr.

 

Beskrivelse

English text see below

Dette foredrag diskuterer perspektiverne i kunstig intelligens for videnskaben, samfundet og industrien. Disse bliver illustreret gennem et bredt spektrum af de nyeste anvendelser og landvindinger på området. Fra” kernel-based” metoder til ”deep learning”.

Foredraget er på Engelsk.

The talk discusses the perspectives of machine learning for science, society, and industry by means of a diverse selection of recent applications of state-of-the-art machine learning, ranging from kernel-based methods to deep learning using neural networks.

About Christian Igel

Christian Igel is a professor at the Department of Computer Science at the University of Copenhagen (DIKU). He studied Computer Science at the Technical University of Dortmund, Germany. In 2002, he received his Doctoral degree from the Faculty of Technology, Bielefeld University, Germany, and in 2010 his Habilitation degree from the Department of Electrical Engineering and Information Sciences, Ruhr-University Bochum, Germany. From 2003 to 2010, he was a Juniorprofessor for Optimization of Adaptive Systems at the Institut für Neuroinformatik, Ruhr-University Bochum. In October 2010, he was appointed professor with special duties in machine learning at DIKU. Since December 2014 he is a full professor at DIKU. He was an Area Chair of Advances in Neural Processing Systems (NIPS) and serves as an Editor of the German Journal on Artificial Intelligence (KI) and an Associate Editor of the Evolutionary Computation Journal (ECJ) and the Artificial Intelligence Journal (AIJ). Christian Igel is constituent CEO of the SCIENCE AI Centre, an umbrella organization that fosters collaboration within the faculty of science at the University of Copenhagen in research areas related to AI and data science. Currently, Christian Igel’s main research interest are support vector machines and other kernel-based methods, evolution strategies for single- and multi-objective optimization and reinforcement learning, PAC-Bayesian analysis of ensemble methods, and deep neural networks and stochastic neural networks, as well as applications of these methods

 

Praktisk Info

Hvor

Alsion

Alsion 2

6400 Sønderborg

U101 - til højre når man kommer ind af hovedindgangen.


Hvornår

Tirsdag d. 04. september 2018

Kl. 16:00 - 18:00


Pris

Studerende, ikke medlem af IDA

0 kr.

Firmamedlem

0 kr.

Medlem af arrangør

0 kr.

Ledig

0 kr.

Medlem

0 kr.

Seniormedlem

0 kr.

Studiemedlem

0 kr.

Deltager, ikke medlem af IDA

500 kr.

Tilmeldingsfrist

30. august 2018 - kl. 23:55


Antal pladser

100


Ledige pladser

27


Arrangementsnr.

327588


Arrangør

Sønderjylland Afdeling, IDA Syd


Medarrangører

IDA Automation

IDA Elteknik

IDA Mechanical

IDA Syd