Team of the Faculty of Mathematics and Natural Sciences and Faculty of Electrical Engineering selected at the European Competition in the Field of Artificial Intelligence




Team of the Faculty of Mathematics and Natural Sciences and Faculty of Electrical Engineering selected at the European Competition in the Field of Artificial Intelligence

Team of the Faculty of Mathematics and Natural Sciences (PMF) and the Faculty of Electrical Engineering (ETF) has managed to be placed among 30 selected scientific and engineering teams at the competition of the European consortium of industrial and academic organizations BONSAPPS,  to work at 10 global Artificial Intelligence solutions (AI-Artificial Intelligence) in automobile industry, industrial production, robotics, health.

The team members are PhD students of the Faculty of Mathematics and Natural Sciences (PMF) Anđela Mijanović,  Kosta Pavlović, master student Velibor Došljak and Igor Jovančević, PhD from PMF, as well as master student Ana Jeknić from the Faculty of Electrical Engineering of the University of Montenegro.

They competed with 126 teams that responded to the call of the consortium, gathered through an EU funded Horizon 2020 project.

The aim of the project is to create a European AI system made by: innovators, scientists, engineers, small and medium size companies that need AI technology, artificial intelligence enthusiasts.

„The goal of this project is to develop IA solutions that will be easy to use and which small and medium size companies will access easily, through developed software modules available through online platform Bonseyes AI Marketplace.“, said Dr. Jovančević, leader of the University of Montenegro (UoM) team, from the Faculty of Mathematics and Natural Sciences.

During the following five months the team from UoM will deal with applied research in the area that is in the focus of their scientific interest. After being selected at the call, the team has been extended to include more colleagues: two from ETF, master student Mirko Kalezić and PhD student Slavko Kovačević, as well as master student Nikola Pižurica from PMF. 

„We look forward to starting the project and we hope to experience the satisfaction provided by the knowledge that our work has resulted in a product that will be useful for people to improve their industrial processes “, says Dr. Jovančević.

He concludes that today a large number of innovative ideas rely on the functionalities offered by AI which is still mainly used only by high-tech IT teams and companies. He sees future in innovativeness because “there is no economic growth without innovations“.

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Image source: https://www.micro.ai/resources/case-studies/ai-enabled-defect-detection-solutions-in-manufacturing

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