Lecture by Professor Onur Mutlu, a world-renowned scientist

The Centre of Excellence – FoodHub and the Montenegrin National Center of Competence in the Field of High-Performance Computing – EuroCC have the opportunity to host this panel. The lecture will be held in Entrepreneurial Nest (Preduzetničko gnijezdo), on June 8, starting at 4 p.m.

Onur Mutlu is a professor of computer science in information technology and electrical engineering in Zurich, Switzerland, and at Carnegie Mellon University. He received his PhD and MS in Electrical and Computer Engineering from the University of Texas at Austin and his BS in Computer Engineering and Psychology from the University of Michigan, Ann Arbor.

His research is related to computer architecture, systems, security and bioinformatics. The work spans and spans the boundaries between applications, systems, languages, system software, compilers, and hardware and addresses many issues of high performance, energy efficiency, hardware security, fault tolerance, predictable systems, reliable systems, and hardware-software cooperation.

prof. dr Onur Mutlu from ETH Zurich is hosted by FoodHub/CoE and NCC Montenegro

Open call for grants by the Ministry of Science and Technological Development

An information session and workshop was held at the University of Donja Gorica on May 26 starting to promote and clarify the conditions of the Competition for the co-financing of national scientific research projects by the Ministry of Science and Technological Development.

Open call promotion hosted by UDG

On behalf of the Ministry of Science and Technological Development, Ms. Milena Milonjić, Acting Director General of the Directorate for Scientific Research, Ms. Jelena Šaranović and Ms. Zorana Lakićević-Milutinović addressed the audience and presented the Competition – open call rules and criteria for co-financing national scientific research projects for 2023.
About 40 researchers, professors and associates of the University of Donja Gorica attended the informative and interactive session.

A grat opportunity for HPC and AI researchers to apply for this open call

The main goal of this open call is to strengthen the capacity of research teams in Montenegro, in order to encourage excellence, thereby contributing to the development of a society based on knowledge and competitiveness at the international level.

AIMHiGH project featured in Success Story booklet by EUROCC

EuroCC has published their first booklet edition of Success Stories for 2023! The booklet contains a summary of successful experiments that have been conducted within the EuroCC projects with some of them using EuroHPC Joint Undertaking supercomputers Each success story includes its challenges, solutions, business impacts and benefits. Discover more on the newly published booklet! Project AIMHiGH, a HPC/AI use case for computer vision solutions in agri-food sector, was featured in this first bulletin. The booklet is available at the following link.

Project AIMHIGH featured in the Success Story bulletin
Click on image to open the report

A journal paper: Machine Learning Models for Statistical Analysis

Researchers from UDG and NCC Montenegro published a paper “Machine Learning Models for Statistical Analysis” by M. Grebovic et al. in The International Arab Journal of Information Technology, Vol. 20, No. 3A, Special Issue 2023. This was a follow up effort on the paper previously presented at the ACIT2023 conference.

Click on image to open

ABSTRACT – Compared to traditional statistical models, Machine Learning (ML) algorithms provide the ability to interpret, understand and summarize patterns and regularities in observed data for making predictions in an advanced and more sophisticated way. The main reasons for the advantage of ML methods in making predictions are a small number of significant predictors of the statistical models, which means limited informative capability, and pseudo-correct regular statistical patterns, used without previous understanding of the used data causality. Also, some ML methods, like Artificial Neural Networks, use non-linear algorithms, considering links and associations between parameters. On the other hand, statistical models use one-step-ahead linear processes to improve only short-term prediction accuracy by minimizing a cost function. Although designing an optimal ML model can be a very complex process, it can be used as a potential solution for making improved prediction models compared to statistical ones. However, ML models will not automatically improve prediction accuracy, so it is necessary to evaluate and analyze several statistical and ML methods, including some artificial neural networks, through accuracy measures for prediction purposes in various fields of applications. A couple of techniques for improving suggested ML methods and artificial neural networks are proposed to get better accuracy results.

The paper is available at the following link.

HPC4S3ME featured at the EDCON2023 conference

University of Donja Gorica presented HPC4S3ME project at our stand at EDCON2023 conference fair. Our researchers had an opportunity to talk to visitors and conference attendees. There was between 1500 and 2000 attendees today at VOCO complex in Podgorica Montenegro. More details on HPC4S3ME website at the following link.

HPC4S3ME was featured at EDCON2023
UDG team had a chance to meet with visitors from all over the globe

EDCON (Community Ethereum Development Conference ) is a non-profit annual global Ethereum conference that happens once a year in different countries (EDCON 2017 in Paris, 2018 in Toronto, 2019 in Sydney, 2020-2021 Online, 2022 in San Francisco at Chase Center). It is mainly committed to serving the Ethereum ecosystem in boosting the communication and interaction of Ethereum communities worldwide. Link: https://www.edcon.io/

Click to learn more on EDCON2023

World Telecomunication and Information Society Day

On World Telecommunications and Information Society Day, prof. Dr. Tomo Popović was invited to participate in the morning TV program on national television RTCG hosted by Ms. Andrea Sekularac. The discussion was about the current state of ICT in Montenegro, digital divide in Montenegro and throughout the world. The very important issue of education and capacity building necessary to address the challenges of digitization was also discussed. During the discussion, important issues of digital transformation, IT megatrends, and especially challenges related to artificial intelligence were touched upon.

prof. Popovic as a guest to morning show on national TV (RTCG)
RTCG program “Dobro jutro” hosted by Ms. Andrea Šekularac
We discussed education and capacity building needed for digitalization

EUROCC at EEN WB++ Networking Event

University of Donja Gorica took part in the Enterprise Europe Network workshop called WB++ Networking Event. The topic of the event was “Digitalization in Agri-Food. The main participants were teams and SMEs active in the field of IT from the region as presenters, and the target audience was interest groups including public entities, companies, research groups, individuals, etc. UDG presented the EUROCC and EUROCC2 projects and discussed success stories and efforts to support digitalisation and the use of HPC/AI in agri-food sector.

WB++ Networking Event (Western Balkans) by EEN
T. Popovic presented several project implemented at UDG relevant to Agri-food sector

The WB++ event is a joint initiative of partners from the countries of the Western Balkans (+Slovenia +Croatia) with the aim of connecting companies and strengthening partnerships and connections in the region. There was over 40 attendees at the networking event. The Enterprise Europe Network consists of almost 600 partner organizations and institutions, provides excellent contacts and links in 54 countries and connects over 3,000 experts in different fields at the local and international level. Through the FINNO platform, free consulting services are offered for sources of financing for innovation, business internationalization and business growth.

We discussed resutls of EuroCC and plans for EuroCC2 (focus on PoC)
There was around 50 attendees at the event