Data Science and Artificial Intelligence

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Version du 4 juin 2019 à 20:11


DSAI DEEP LEARNING TUTORIAL

Pre-registeration survey Registration Syllables Installation package Download dataset Contact us


Registration deadline: June 20, 2019


Scope

DSAI DL 2019 will be a research tutorial event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neurosciences, computer vision, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, healthcare, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience.


DSAI DL 2019 will be a research tutorial event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neurosciences, computer vision, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, healthcare, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience.[..dummy writing..]


DSAI DL 2019 will be a research tutorial event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neurosciences, computer vision, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, healthcare, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience.[..dummy writing..]


Renowned academics and industry pioneers will lecture and share their views with the audience.[..dummy writing..]



Date & Venue
Modèle:Google maps

Date & Time:
Tuesday, December 11, 2018, 9am-5pm



Venue:
Forum (Amphitheater 301-302), 4 rue Kirschleger, Faculté de Médecine, Strasbourg



Syllables
The courses will run for 2 days. Participants will be able to freely choose the courses they wish to attend.

A complete syllable can be accessed via link on the menu bar.

Day 1 Day 2


Speakers
NP.jpg
Nicolas Padoy
Professor
University of Strasbourg.
Tong.jpg
Tong Yu
PhD Student
University of Strasbourg.
Chinedu.jpg
Chinedu Nwoye
PhD Student
University of Strasbourg.
Armine.jpg
Armine Vardazaryan
Research Engineer
ICube Laboratory.
Vinkle.png
Vinkle Kumar Srivasta
PhD Student
University of Strasbourg.
Thomas Lampert
Thomas Lampert
Professor
University of Strasbourg.
HPC guy
HPC representative
Professor
University of Strasbourg.




General Information
Info News Contact us



Participatory Requirements