From the next academic year, classes at the Faculty of Information Systems and Technologies, University of Donja Gorica, will be organized in two modules: Software Development (M1) and Digital Transformation (M2). In the Software Development module, the focus is on the analysis of requirements and design of information systems, programming and agile software development, and system integration and deployment. The Digital Transformation module focuses on information technology management, digital innovation of business processes, and new value of the use of technologies such as artificial intelligence and Blockchain.
This approach, together with strengthening foreign language skills of our students, is preparing them for a global labor market. In addition, new modules create a very good foundation for our Master’s studies offering modules Artificial Intelligence, Software Engineering and Digital Transformation.
New approach should allow easier transition to new Master program for Artificial Intelligence
NGO “IT Društvo” and HPC NCC Montenegro, with support from University of Montenegro and University of Donja Gorica, organized a special session – panel “HPC/AI applications – opportunities, challenges and perspectives” as part of the XXVI scientific-professional conference Information Technology, IEEE IT2022. The event took place on June 4, 2022 in the canyon of the river Tara, municipality of Žabljak, Montenegro. This panel discussion was focused on the opportunities, challenges and perspectives of the application of Artificial Intelligence and High-performance Computing in our country, the region, and around the world.
IEEE IT2022 follow up event: Special Session on HPC/AI and Applications
Representatives from University of Belgrade, University of Sarajevo, University of Montenegro, and University of Donja Gorica took part in these discussions. There was around 35 participants including he representatives of industry from IT, medical, and agricultural sector. The socializing and networking took place in the beautiful ambient of the river Tara. This is another one in the list of events engaging the key partners and industry representatives in Montenegro and the region. More info on the IEEE IT2022 conference is available on the following link.
The event was opened by prof. dr Bozo Krstajic (University of Montenegro) and dr Sandra Tinaj (NCC Montenegro). The event included a lively Q&A session with presentations of projects (FASTER, EUROCC, AIMHIGH). The final list of panelists:
prof. dr Srdjan Krco (DunavNET, Serbia),
prof. dr Almir Badnjevic (VERLAB, Bosnia),
prof. dr Sanja Vujnović (University of Belgrade, Serbia),
prof. dr Slobodan Djukanovic (University of Montenegro, Montenegro),
prof. dr Tomo Popovic (University of Donja Gorica, Montenegro) as moderator.
Arriving to the venue Panel discussions regarding opportunities, challenges and perspectives of HPC/AI and applicationsProf. Božo Krstajić opening speech, panelists were from Montenegro, Bosnia, and SerbiaHPC NCC Montenegro team presented the purpose and activities of the EUROCC projectThe event included a lively Q&A session with presentations of projects
NCC Montenegro and NCC Hungary (KIFÜ) had a very interesting discussion today about various training opportunities. KIFÜ representatives expressed their interest in Open Academy training courses that were offered to high school students. We discussed possibility to collaborate in some future training events.
Meeting of representatives from NCC Hungary (KIFÜ) and NCC Montenegro
H2020 AIMHiGH – FF4EuroHPC Experiment: How can HPC help digital innovation SMEs to improve their offering to agri-food sector, especially to support SMEs coming from agri-food sector. We use HPC and AI to develop advanced computer vision tools based on ML and Edge AI that can be used as a part of IoT-based digital farm management tools. It has been a full year since we started and here are some of the highlights of the collaboration between DigitalSmart Montenegro, DunavNET, and University of Donja Gorica (HPC NCC Montenegro and FoodHub CoE). Entering the overall verification and validation stage of the project.
University of Donja Gorica and HPC NCC Montenegro invited a special guest, prof. dr Mladen Kezunović, a Regents Professor at Texas A&M University and Member of the US National Academy of Engineering. Prof. Kezunović gave talk on Artificial Intelligence in Energy Sector. This lecture is part of the series of events pertaining to HPC/AI applications in the priority domains of Motenegrin S3 and in line with the EuroCC NCC Montengro goal for engaging industry with respect to HPC/AI applications . There was over 70 attendees (live and online) including industry representatives (energy sector IT companies), universities, and high schools.
prof dr Mladen Kezunovic at UDG and NCC Montenegro (highlights)
The first meeting of the EU-MNE HORIZON EUROPE Joint Committee on Research and the Ministry of Science and Technological Development was held in Podgorica the other day. The meeting was focused on Montenegro’s participation in this most important research and innovation program in the EU. UDG researchers participated in the meeting and discussed the experiences with the past and ongoing Horizon 2020 projects including H2020 DEMETER, H2020-RISE TRACEWINDU, and H2020 EUROCC. More information available at the following link.
Meeting with the EU-MNE Horizon Europe JRC (image: the Ministry)UDG researchers presented H2020 projects including EuroCC and NCC Montenegro (image: the Ministry)
NCC Montenegro researchers at UDG won another NVIDIA Academic Grant that will provide additional classroom equipment (Jetson Nano). This equipment will be used for implementing Edge AI classroom and realization of training in AI applications in IoT. The grant was awarded to prof. Tomo Popovic. Researchers participating in the Edge AI training are Stevan Cakic, MSc, Ivan Jovovic, Dejan Babic, and Zoja Scekic and it will be organized in with the support from NCC Montenegro.
Prof. Popovic awarded NVIDIA Academic Grant for Edge AI ClassroomPreparing the classroom for new ML course for Edge AI
