Our team consisting of PhD students Gustav Šourek, Martin Svatoš and their supervisor Filip Železný (all from the IDA group) with their Cardiff fellows Stephen Shockaert and Ondřej Kuželka (former IDA member) was awarded the best-paper award for their new advancement of the original concept of Lifted Relational Neural Networks. This research is currently supported by the Czech Science Foundation."

News

On the occasion of 50th anniversary of the computer mouse invention, patented by visionary Douglas Engelbart in 1968, Bozena Mannova from our department is the guest of Studio 6 and remembers the beginnings and changes of the famous computer tool - computer mouse.

June 21th 2017, Studio 6 (in czech)

News

Lukas Chrpa participates in experiments of AUV planning in Portugal

Lukas Chrpa received a grant from The Office of Naval Research (ONR) for his participation in Rapid Environment Picture (REP) experiments focusing on operations of multiple heterogeneous autonomous vehicles, organized by Laboratório de Sistemas e Tecnologia Subaquática (LSTS) in Portugal.

News

media: Viliam Lisý - Wanna Decryptor virus

Department in media:

Viliam Lisý, expert for game theory and cybersecurity, as guest of Sudio 6, speaks about the Wanna Decryptor virus, that attacked PC all over the world in May 2017.

Viliam Lisy answers to following questions: Who the probably creators of the malware are, what they want, how it works or what can we expect regarding updates of virus.

May 16th 2017, Studio 6, 51:45 (in czech)

News

STILL (Software Testing IntelLigent Lab) is a new research lab within the Department of Computer Science dedicated to research in software testing and search based software engineering.

News

News & Events

Frontier Prize for the best paper at the IDA 2016 Symposium

Researchers Petr Ryšavý and Filip Železný from the IDA group have won the Frontier Prize for the best paper at the Intelligent Data Analysis 2016 Symposium in Stockholm in 10/2016. The paper, which was published in volume 9897 of Springer's LNCS series, proposes an original method for clustering genomic (DNA) sequences when only short fragments of these sequences are known.