National Competence Centre for High-Performance Computing
The Euro CC project was presented to the research and scientific community within the UDG. During the presentations, senior and junior researchers were invited to join the future HPC Competence Center. The presentation was held by prof. dr Milica Vukotic, member of the Euro CC team and dean of the Faculty for Information Systems and Technologies.
FF4EuroHPC project, together with CASTIEL project and EuroCC, is strengthening High-Performance Computing in Europe. Find out in the latest interview with Dr. Bastian Koller and Dr. Guy Lonsdale, published in the ETP4HPC European Technology Platform for HPC annual report link.
“Open Mind – Learn to play” Training Event for High School Students in Montenegro
In the context of EuroCC project, HPC NCC Montenegro at the University of Donja Gorica is organizing a training event called “Open Mind – Learn to play” designated for high school students in Montenegro.
The training is planned for High School students who want to gain practical experience in some of the popular areas such as internet of things, 3D technologies (3d printing), digital transformation, programming, drones etc. Participants are expected to work on exciting projects, based on the latest trends and technologies (using of IoT, 3D technologies, Python, Analysing Social Media Trends), and the acquired knowledge will enable them to more easily build their future in one of the areas they choose with this program.
In the context of EuroCC project NCC Montenegro and Capacity building activities – Roadmap towards the successful Implementation, selected candidates will have the opportunity to participate in training led by professionals in the given fields, and then to test the extent to which they can apply the acquired knowledge to solve specific problems within individual work or group projects. Within these training events, students will work on the latest technologies, while at the same time they will get to know modern trends from various fields, solving current challenges, practicing teamwork, learning how to think outside of the box.
Some of the themes include Analysing Social Media Trends – participants of this program will gain the opportunity to work in one of the most popular areas of artificial intelligence (AI) called Natural Language Processing (NLP), which aims to analyse text (social networks, news, books, etc.) and make decisions from them. Also, IoT workshop – ThingSpeak, Python GUI Programming, OpenCV workshop any many others.
Training will be organized during March 2021 at the University of Donja Gorica.
The first training event on HPC organized by the NCC Montenegro finished successfully. The agenda for the event can is available for download at the following link. The conference program is available at IEEE IT 2021 Conference program. Learn more about IEEE IT2021 Conference at link.
Video recordings from the training sessions are available at following links:
A paper titled “Pneumonia Detection Using Deep Learning Based on Convolutional Neural Network” authored by L. Racic, T. Popovic. S. Cakic, S. Sandi was presented at the 25th IEEE Conference on Information Technology. The paper is available in the IEEE Xplore repository at the following link.
ABSTRACT – Artificial intelligence has found its use in various fields during the course of its development, especially in recent years with the enormous increase in available data. Its main task is to assist making better, faster and more reliable decisions. Artificial intelligence and machine learning are increasingly finding their application in medicine. This is especially true for medical fields that utilize various types of biomedical images and where diagnostic procedures rely on collecting and processing a large number of digital images. The application of machine learning in processing of medical images helps with consistency and boosts accuracy in reporting. This paper describes the use of machine learning algorithms to process chest X-ray images in order to support the decision- making process in determining the correct diagnosis. Specifically, the research is focused on the use of deep learning algorithm based on convolutional neural network in order to build a processing model. This model has the task to help with a classification problem that is detecting whether a chest X-ray shows changes consistent with pneumonia or not, and classifying the X-ray images in two groups depending on the detection results.
A paper titled “Applying natural language processing to analyze customer satisfaction” authored by A. Alibasic and T. Popovic was presented at the 25th IEEE conference on Information Technology. More about the conference cab be found at the following link.
ABSTRACT – The aim of this paper is to analyze customer satisfaction by applying natural language processing (NLP). We have collected over 50,000 airline reviews from TripAdvisor data in the period from 2016 until 2019. This analysis demonstrates the capability of discovering the pain points of the customers by using data science techniques related to NLP. Our study shows that in today`s world, data-driven decisions must be taken quickly in order to maintain customer satisfaction and prevent customer churn. The paper is available at the following link.
EuroCC project was featured on TV programme on national frequencies on 15.02.2021. Dr Tomo Popovic gave a brief interview on the upcoming 25th IEEE IT Conference on Information Techology IT2021 and announced the HPC training that will be done in context of EuroCC project. This training event is organized by HPC NCC Montenegro at UDG. More information about IT2021 Conference can be found at the following link.
