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The Institute of Information Theory and Automation (UTIA) is a public non-university research institution which administratively falls under the Czech Academy of Sciences. UTIA conducts fundamental and applied research in computer science, signal and image processing, pattern recognition, system science, and control theory. In addition to its research activities, UTIA is engaged in undergraduate, graduate, and postgraduate education. It also publishes the journal Kybernetika and acts as a certified forensic expert institution. UTIA consists of eight scientific departments, computer centre, library, facility maintenance department and business administration department. UTIA is managed by the Director and the Board.

Pod Vodárenskou věží 4
CZ-182 00, Prague 8
Czech Republic

more info: here
phone:+420 286890298
email: utia (a) utia.cas.cz

registry: podatelna@utia.cas.cz

ID of data box: tx7nvin

 

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Asistenční systém pro řidiče

Vážení, dovolujeme si Vás oslovit s prosbou o vyplnění dotazníku mapujícího znalost a postoje k asistenčním systémům pro řidiče osobních automobilů. https://dotaznik-pro-ridice-tacr.vyplnto.cz/ Výzkum probíhá pod záštitou Technologické agentury ČR ve spolupráci s Katedrou psychologie Filozofické fakulty Univerzity Palackého v Olomouci a Ústavem teorie informace a automatizace AV ČR.

 

Milan Anderle received the Dean´s Award
Cena děkana ČVUT FEL v Praze
Děkan Fakulty elektrotechnické ČVUT v Praze, prof. Ing. Pavel Ripka, CSc., udělil dne 20.2.2017 Ing. Milanovi Anderlemu, Ph.D. CENU DĚKANA za vynikající disertační práci "Modelling and Control of Walking Robots".
4th Workshop on Variational Analysis and Optimization

Workshop on Variational Analysis and Optimization is an annual workshop organized by members of the Czech Academy of Sciences. It is an informal meeting of people interested in various topics of optimization theory. It combines a mathematical program in the afternoon/evening with a free program in the morning/early afternoon, when one can enjoy the beautiful scenery, go hiking, skiing or just discuss mathematics. Because of its location on the Czech-German border, it is suited mainly for Czech and German researchers.

Winter school of MTR, 2017

January 29 - February 2, Mariánská, Czech Republic

The Winter School of Department of Decision-Making Theory is a popular meeting point of students and researchers from the department and other colaborating researchers from several Czech institutions as well as guests from abroad. It is held in the UTIA's chalet.

The program of the 2017 edition of the MTR Winter School will consist mainly of tutorial talks given by participants.

Innovation Award 2016
Association of Innovative Entrepreneurship of the Czech Republic awarded Ing. Milan Talich, Ph.D. and his team the main prize for their work „Expert system for monitoring of deformations of hazardous objects and locations“, which was created in cooperation with Geodézie Ledeč nad Sázavou s.r.o. This prestigious contest was established in 1996.
NIPS 2016 Workshop

An international workshop in conjunction with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016)

IMPERFECT DECISION MAKERS: ADMITTING REAL-WORLD RATIONALITY

December 9, 2016, Barcelona, Spain

Dny otevřených dveří

Místo konání: Pod vodárenskou věží 4, Praha 8
Datum a doba otevření: 10. a 11. listopadu, 10 - 15 hod.
Kontakt: Dr. Ing. Lubomír Soukup, tel.: 266 052 551, e-mail: soukup@utia.cas.cz
Registrace: Prosíme návštěvníky o oznámení jejich zájmu o exkurzi s předstihem alespoň den předem.

Dny otevřených dveří

Místo konání: Pod vodárenskou věží 4, Praha 8
Datum a doba otevření: 10. a 11. listopadu, 10 - 15 hod.
Kontakt: Dr. Ing. Lubomír Soukup, tel.: 266 052 551, e-mail: soukup@utia.cas.cz
Registrace: Prosíme návštěvníky o oznámení jejich zájmu o exkurzi s předstihem alespoň den předem.

BELIEF'16
The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, is a well established general framework for reasoning with uncertainty, with well understood connections to other frameworks such as probability, possibility and imprecise probability theories. First introduced by Arthur P. Dempster in the context of statistical inference, the theory was later developed by Glenn Shafer into a general framework for modeling epistemic uncertainty.