Upcoming Blockchain Summit

Wed, 26 May 2021 13:00:00 +0000

This year the Blockchain Summit of the two major blockchain research projects in Austria is 26.5.2021 13:00-16:30 Due to the ongoing pandemic situation this year it will be an online event via MSTeams. For more information, program and registration, see: https://www.fhstp.ac.at/de/newsroom/events/blockchain-summit

We are looking forward to see you there! 🙂

Call for Papers Data Science Summit 2020

Fri, 16 Oct 2020 13:00:00 +0000

Please feel invited to submit your speech within the Call for Papers of Data Science Summit, which will take place on 16th of October 2020 in Warsaw.

ABOUT THE EVENT:

4th edition, the largest event in this thematic area in CEE Region
Just as previously – we expect to host at least a few parallel presentation paths
Thematic areas covered: everything related to data processing, analytics and visualization (from ML and Big Data, through statistics, up to BI – details at the below website)
In case of limitations related to the pandemic situation – the event will be hosted fully online or in a hybrid way (e.g. the conference online and pre/afterparty locally)

Details and CfP form: https://DSSconf.pl/en/cfp Deadline for submission: 13.07.2020, 23:59

Organizers: Data Science Warsaw, Fundacja Academic Partners Official event website: www.DSSconf.pl/en FB event: https://www.facebook.com/events/2951397434932274/

Joint Webinar: Deep Self-Supervised Learning for All

Fri, 10 Jul 2020 13:00:00 +0000

ADD TO YOUR CALENDAR HERE: https://bit.ly/38I2uvL

ABOUT TALK Deep neural networks have achieved outstanding results in various applications such as vision, language, audio, speech, or reinforcement learning. These powerful function approximators typically require large amounts of data to be trained, which poses a challenge in the usual case where little labeled data is available. During the last year, multiple solutions have been proposed to leverage this problem, based on the concept of self-supervised learning, which can be understood as a specific case of unsupervised learning. This talk will cover its basic principles and provide examples in the field of multimedia.

ABOUT SPEAKER Be ready for a long and interesting list of experiences, titles, and recognitions that our guest Xavier has.

Xavier Giro-i-Nieto is an associate professor at the Universitat Politecnica de Catalunya (UPC) in Barcelona as a member of the Intelligent Data Science and Artificial Intelligence Research Center (IDEAI-UPC) and Image Processing Group (GPI), and also a visiting researcher at Barcelona Supercomputing Center (BSC). He graduated in Telecommunications Engineering at ETSETB (UPC) in 2000, after completing his master thesis on image compression at the Vrije Universiteit in Brussels (VUB) with Prof. Peter Schelkens. After working one year in Sony Brussels, he started a Ph.D. on computer vision, supervised by Prof. Ferran Marqués. In parallel, he designed and taught courses at the ESEIAAT (video content delivery) and ETSETB (deep learning) schools at UPC, as well as the Master in Computer Vision of Barcelona (video analysis). He visited multiple times the Digital Video and MultiMedia laboratory directed by Prof. Shih-Fu Chang at Columbia University in New York between 2008-2014, with whom he keeps collaborating. He also works closely with the Insight Center of Data Analytics at Dublin City University and his industrial partners at Vilynx, Mediapro, and Crisalix. He serves as associate editor at IEEE Transactions in Multimedia and reviews for top tier conferences in machine learning (NeurIPS, ICML), computer vision (CVPR, ECCV, ICCV), and multimedia (ACMMM, ICMR). www.linkedin.com/in/xaviergiro

ABOUT X-EUROPE DATA SCIENCE WEBINARS This is a joint online event of Vienna Data Science Group, Frankfurt Data Science, Budapest Data Science Meetup, BCN Analytics, Budapest.AI, Barcelona Data Science and Machine Learning Meetup, Budapest Deep Learning Reading Seminar and Warsaw R Users Group.

Blockchain | Vienna Data Science Group

Upcoming Blockchain Summit

Call for Papers Data Science Summit 2020

Joint Webinar: Deep Self-Supervised Learning for All