The Department of Intelligent Systems at Jožef Stefan Institute is starting a new H2020 project this month. The COVIRNA project will develop a diagnostic test to predict the outcomes of COVID-19 patients with cardiovascular comorbidities. The test will primarily be … Continue reading
The principal goals of the Department of Intelligent Systems are to develop new methods and techniques for intelligent computer systems, with applications in the areas of the information society, computer science and informatics, and network communication systems. The main research areas are ambient intelligence, computational intelligence, agent modeling, and language and speech technologies. The department collaborates closely with the Faculty of Computer and Information Science of the University of Ljubljana.
The department received the award for the first place at the Activity Recognition competition EvAAL 2013. The competition took place in Valencia, Spain. Beside competitors from European countries, the participants also came from USA, Japan and Russia. Jožef Stefan Institute team (Simon Kozina, Hristijan Gjoreski, Matjaž Gams and Mitja Luštrek) was victorious due to a combination of accurate and fast activity recognition, sensors embedded in clothes and open source software, which was developed for the competition.
The department also received two major awards in 2011. At the third Industrial Forum of Innovation, R&D and Technology we received the Taras award for successful collaboration between a research institution and industry. It was awarded to the iLab project in collaboration with the Lotrič company. In the project a system for monitoring the conditions in a laboratory was developed. At the sixth Slovenian Innovation Forum we received the silver award for excellence of innovative industries for the Pedius system. The system provides computer support for the restoration of wall paintings from plaster fragments.
Slovenska konferenca o umetni inteligenciMartin Gjoreski, Vladimir Kuzmanovski, Marko Bohanec»Generating Alternatives for DEX Models using Bayesian Optimization« Izkopavanje znanja in podatkovna skladiščaPatrik Zajec, Dunja Mladenić»Learning to fill the slots from multiple perspectives« Okolje in LjudjeMaj Smerkol, Žan Počkar, Alina Machidon, … Continue reading
Na Institutu “Jožef Stefan” je bila danes podelitev nagrad 23. Multikonference Informacijska družba 2020. Po priporočilih NIJZ je dogodek potekal na t. i. hibriden način, z udeležbo glavnih organizatorjev in dobitnikov nagrad v predavalnici in govorov prek videa. Gledalce večinoma … Continue reading
Institut “Jožef Stefan”, Ljubljana, Slovenija Raziskovalec/Raziskovalni inženir 1 prosto delovno mesto OPIS PODJETJA Odsek za inteligentne sisteme na Institutu »Jožef Stefan« se ukvarja z raziskavami umetne inteligence in razvija raznolike inteligentne aplikacije. Pri tem sodeluje z vodilnimi raziskovalnimi ustanovami v … Continue reading
CALL FOR PAPER (Slovenian version) SLOVENIAN CONFERENCE ON ARTIFICIAL INTELLIGENCE PEOPLE AND ENVIRONMENT PROFESSIONAL ETHICS
Prispevek avtorjev Matjaz Gams, Irene Yu-Hua Gu, Aki Härmä,Andrés Muñoz and Vincent Tam z naslovom “Artificial intelligence and ambient intelligence”, objavljen v Journal of Ambient Intelligence and Smart Environments (JAISE) je bil v tej SCI reviji med tremi najbolj citiranimi … Continue reading
“Classical and Deep Learning Methods for Recognizing Human Activities and Modes of Transportation with Smartphone Sensors “, published in Information Fusion (IF 10.7), describes our approach to activity recognition that brought us victory at the Sussex-Huawei Locomotion Recognition Challenge, an … Continue reading
Sodelavci Odseka za inteligentne sisteme so imeli 16. in 17. aprila 2020 prvi sestanek v H2020 projektu pametnih mest URBANITE “Supporting the decision-making in URBAN transformation with the use of dIsruptive TEchnologies” v sklicu “Socioeconomic and cultural transformations in the … Continue reading
The team of eight department researchers is analyzing the coronavirus data in order to establish: – the influence of weather, humidity and other factor on the speed of coronavirus progress– the effectiveness of various approaches for curbing the coronavirus infection … Continue reading
The department is a leading institution in research on the recognition of human activities. Our methods for the recognition of activities with smartphone sensors were recently published in the high-impact Information Fusion journal (https://www.sciencedirect.com/science/article/pii/S1566253517303421) and took first place at the … Continue reading
Na Linku si lahko ogledate predstavitve letošnjih konferenc, katere so potekale v okviru mednarodne multikonference Informacijska družba 2019.
The Information Society multiconference deals with information technologies, which are of major importance for the development of Europe. IS2019 will serve as a forum for the world-wide and national community to explore further research directions, business opportunities and governmental policies. … Continue reading