19Jun MELIPC 5000 Edge Computing in Serbia by Prof. Dr. Aleksandar Rikalovic Implementation In the show Nauka privredi Associate Professor Dr. Aleksandar Rikalović and young researcher Bojana Bajić from the Department of Industrial Engineering and Management, Faculty of Technical Sciences represent steps in the field of the fourth industrial revolution through the capabilities of the new generation industrial edge computer MELIPC 5000, the only one of its kind on Europe. Read More
27Mar UNDP Workshop for Data Science at Faculty of Technical Sciences by Prof. Dr. Aleksandar Rikalovic Workshops The free Data Science course is held from April 5th to April 7th in 2019 at the Faculty of Technical Sciences. Through a series of lectures and workshops, students had the opportunity to get acquainted with open data, to analyze and visualize (open) data, as well as to formulate their proposals for creating added value based on available open data. Read More
25Feb Machine Learning Techniques for Smart Manufacturing: Applications and Challenges in Industry 4.0 by Bojana Bajic R&D The Industry 4.0 is now underway, changing traditional manufacturing into smart manufacturing and creating new opportunities, where machines learn to understand those processes, interact with environment and intelligently adapt their behaviour. Big data and artificial intelligence (AI) make machines in industrial production smarter than before addressing the question of how to build computers that improve automatically through experience. Machine learning (ML), as a subfield of AI, has become the main driver of those innovations in industrial sectors, which provides the opportunity to further accelerate discovery processes as well as enhancing decision making. Read More
9Feb Faculty of Technical Sciences Smart Factory Workshop by Prof. Dr. Aleksandar Rikalovic Workshops The Faculty of Technical Sciences hosted partners from Tarkett and Mitsubishi Electric, where the vision of presenting the Smart Factory concept. The workshop lasted three days. The first day of the Faculty of Technical Sciences held the workshop at the University of Novi Sad, where the basics of Smart Factory were presented, with an emphasis on Industrial Big Data Analytics using Edge Computing. Read More
15Nov Predictive Manufacturing Systems in Industry 4.0: Trends, Benefits and Challenges by Prof. Dr. Aleksandar Rikalovic R&D The fourth industrial revolution, known as Industry 4.0, has tendency to push the boundaries of science and technology. This is especially true for the manufacturing industry. One of the biggest challenges facing the manufacturing industry today is how to make intelligent systems for production with “self-aware”, “self-predict and “self-maintain” abilities. Predictive manufacturing systems (PMS) are new intelligent systems that provide these abilities in the production, processes and machines. Read More