INSTITUT JOZEF STEFAN (Slovenia)
Jozef Stefan Institute (JSI) is the leading research institution for natural sciences in Slovenia with over 900 researchers within 25 departments working in the areas of computer science, physics, chemistry and biology.
The Artificial Intelligence Laboratory, with approximately 50 researchers, is one of the largest European research groups working in the areas of machine learning, data mining, language technologies, sensor networks as well as AI within cloud and edge computing with an emphasis on multi-modal data, scalable real-time data analytics, visualisation of complex data and semantic technologies. It is one of the largest European research groups working in these areas. In its long-lasting tradition in AI research, AILAB has established a worldwide collaborative research network with many organisations, among them numerous universities, research institutes, enterprises, government institutions, and costumers and takes advantages of the close vicinity to them. Its key research direction is combining modern statistical data analytic techniques with more semantic/logic-based knowledge representations and reasoning techniques with the purpose to make progress in solving complex problems such as text understanding, large scale probabilistic reasoning, building broad coverage knowledge bases and dealing with scale.
The Centre for Knowledge Transfer in Information Technologies has approximately 10 researchers and technical staff working in the areas of research results dissemination and eLearning and covers management, training and dissemination activities of various EU projects. In particular, the centre is well known through its portal http://videolectures.net/ with multimedia materials of numerous scientific events, on-line training materials, and a collection of tutorials on different scientific fields. The Centre acts as UNESCO Chair for Open Technologies for Open Educational resources and Open Learning.
Role in the project
JSI’s main competences are in data analytics and machine learning. JSI will develop active learning methodologies and approach in the STAR project. JSI also has expertise in developing smart digital twins (combining properties measured by sensors or other systems and operators, such as predictions, anomaly detections, long-term predictions and similar). JSI can assist with integration of the technologies in final products such as QlectorLEAP.