EuroCC organized first F2F meeting at Frankfurt on 28.04.2022. Partners, who had worked together for more than a year online, met together and presented achievements of all participant countries in area of HPC, HPDA and AI.
NCC Montenegro participated in the meeting and discussions on the implementation activities. Sanja Nikolic and Luka Filipovic presented the accomplishments of Montenegrin team. In the second part of the meeting, the participants agreed on the next steps in the project and further cooperation.
Ms Sanja NIkolic presenting the progress in NCC MonteengroProject results summarized into three main pillarsNCC Monteengro Outlook and Goals
This semester, the AXON Association of Applied Psychology Students organized a series of multidisciplinary lectures linking psychology and artificial intelligence, entitled “The Era of Artificial Intelligence.”
During the last session held on April 28, Dr. Tomo Popovic presented a new Master Program in Artificial Intelligence, which is being implemented at the Faculty of Information Systems and Technologies, with the support of NCC Montenegro and the EuroCC project. The presentation was followed by over 30 participants.
AI Master program presented at the AXON webinarThere was over 30 attendees at the event
EuroCC and AIMHiGH/FF4EuroHPC projects were featured in presentations during the round table “Deep Machine Learning”. This event was organized by the Montenegrin Academy of Sciences and Arts. The event took place on March 21, 2022. at the Rectorate building at the University of Montenegro. The participant discussed artificial intelligence and deep learning use cases and practical perspectives. Researchers from AIMHiGH project gave presentation on development of IoT Edge Computer Vision Sensors for smart farms supported by HPC and AI.
HPC and AI for Development of IoT Computer Vision Sensors for Smart FarmsEuroCC NCC Montengro was featured in the presentationAIMHiGH project results were presented in the presentation
Member of the EuroCC Montenegro National Competence Center team, Dr Armin Alibasic together with co-authors Himanshu Upadhyay, Mecit Can Emre Simsekler, Thomas Kurfess, Wei Lee Woon and Mohammed Atif Omar conducted research published in the paper titled “Evaluation of trends in jobs and skill ‑ sets using data analytics: a Case study” in the Journal of Big Data. The article is available at the following link.
APSTRACT – A novel data-driven approach is developed to identify trending jobs through a case study in the oil and gas industry. The proposed approach leverages a range of data analytics tools, including Latent Semantic Indexing (LSI), Latent Dirichlet Allocation (LDA), Factor Analysis and Non-Negative Matrix Factorization (NMF), to study changes in the market. Further, our approach is capable of identifying disparities between skills that are covered by the educational system, and the skills that are required in the job market. Novel data-driven approach is developed to identify trending jobs through a case study in the oil and gas industry. The proposed approach leverages a range of data analytics tools, including Latent Semantic Indexing (LSI), Latent Dirichlet Allocation (LDA), Factor Analysis and Non-Negative Matrix Factorization (NMF), to study changes in the market. Further, our approach is capable of identifying disparities between skills that are covered by the educational system, and the skills that are required in the job market.
Dr. Alibasic published an article in the Journal of Big Data
The Association of Applied Psychology Students “Axon” continues a series of three multidisciplinary lectures entitled “The Era of Artificial Intelligence”.
A lecture by Ms Irena Jerkovic from Zagreb
On that occasion, on Friday, March 18, at 3 pm, via the Zoom platform, our guest Irena Jerković from Zagreb will hold a lecture on “How to make emotionally intelligent AI”. Irena Jerković is a psychologist, founder and co-founder of two start-ups CrevPulse and Improv3, CPO at TalentLift, an enthusiast for building emotionally intelligent AI technology that can improve people’s quality of life.
Young researchers from UDG participated in the event
Scientific conference “Information and Communication Technologies – Current state and Perspectives”, on “Deep Machine Learning”, organized by the Committee for Information and Communication Technologies of the Montenegrin Academy of Sciences and Arts and co-organized by the University of Montenegro, will be held on Monday, March 21, 2022, at the Rectorate of the University of Montenegro, starting at 11 am. The agenda for the event is available here.
EuroCC NCC Montenegro and AIMHiGH projects will be featured in the presentation “Development of IoT Edge Computer Vision Sensors for Smart Farms Supported by HPC and AI”.
“Deep Machine Learning” conference organized by the Montenegrin Academy of Sciences and Arts
A paper titled “Face Mask Detection Based on Machine Learning and Edge Computing”, authored by I. Jovovic, D. Babic, S. Cakic, T. Popovic, S. Krco, and P. Knezevic, was presented at the 2022 21th International Symposium INFOTEH-JAHORINA. The paper was presented by a young researcher Mr Ivan Jovovic, Faculty for Information Systems and Technologies, on 18 March 2022. The paper discussed the use of machine learning for face mask detection and porting of prediction models onto the edge Ai platform. The effort was supported by the EuroCC Monteengro team link.
Presentation of the paper in the virtual online session of the conference
ABSTRACT – This paper describes research effort aimed at the use of machine learning, Internet of Things, and edge computing for a use case in health, mainly the prevention of the spread of infectious diseases. The main motivation for the research was the Covid-19 pandemic and the need to improve control of the prevention measures implementation. In the study, the experimentation was focused on the use of machine learning to create and utilize prediction models for face mask detection. The prediction model is then evaluated on the various platforms with a focus on the use on various edge devices equipped with a video camera sensor. Different platforms have been tested and evaluated such as standard laptop PC, Raspberry Pi3, and Jetson Nano AI edge platform. Finally, the paper discusses a possible approach to implement a solution that would utilize the face mask detection function and lays out the path for the future research steps.
The paper was presented at the IEEE 2022 21st INFOTEH-JAHORINA Conference
