National Competence Centre for High-Performance Computing
NCC Montenegro representatives Sanja Nikolic and Luka Filipovic gave a presentation for to the attendees of AI4S3.ME courses. The presentation covered the potential of using HPC/HPDA/AI technologies, advantages of utilizing distributed resources, the EuroHPC supercomputing opportunities, EuroCC2 project, NCC Montenegro activities and results.
On the 20th of October 2023, Dr. Jaka Vodeb gave a lecture on the topic of quantum computing to the students of the University of Donja Gorica (UDG) and NCC Montenegro academic and industry partners.
During the lecture, Dr. Vodeb addressed several key aspects of quantum computing, including its historical development, early stages, and the motivating factors behind its advancement. Additionally, he provided insights into the current state of quantum hardware and various quantum algorithms. At the end, he presented success stories where quantum computing demonstrated superior performance compared to conventional computing methods. Quantum computing lecture was organized as a fruitful collaboration between NCC Germany and NCC Montenegro. There was around 70 attendees at the lecture.
NCC Montenegro is organizing online introductory lecture about quantum computing and its applications.
Quantum computing is a cutting-edge field of computer science that leverages the principles of quantum mechanics to perform complex calculations at speeds far beyond what classical computers can achieve. Instead of using classical bits, quantum computers use quantum bits or qubits, which can exist in multiple states simultaneously due to superposition. This enables them to solve certain problems, such as factoring large numbers or simulating quantum systems, much faster than traditional computers. Quantum computing has the potential to revolutionize fields like AI/ML applications, cryptography, bioinformatics, digital manufacturing, optimization of traffic systems…
We are privileged to have Dr. Jaka Vodeb as our speaker. Dr. Vodeb is a postdoctoral researcher at the Jozef Stefan Institute and Fz Juelich (NCC Germany). His extensive expertise in quantum computing and quantum simulator ensures inspirational lectures.
Dr. Vodeb will give an overview of the quantum computing landscape, existing quantum hardware, quantum algorithms, quantum error correction and the quantum internet.
Date: 20.10.2023.
Time: 12:00 PM
Duration: Half Day lectures
Registration: https://forms.gle/nTf2aW3kGsbzcSz2A
Don’t miss this opportunity to explore the future of computing.
We look forward to your participation!
For any additional information, inquiries, or updates, please reach us on luka.filipovic@udg.edu.me
At the University of Donja Gorica, the Faculty of Information Systems and Technologies has commenced the implementation of the project “Application of Computer Vision and Deep Learning in Agriculture and Food Production, Medicine, and Energy (AI4S3).” The project is funded within the program to promote the development of an innovation culture and organize education in the fields of smart specialization in Montenegro by the Innovation Fund (https://fondzainovacije.me/).
On September 28th, as part of the 9th Festival of Science and Innovation, we had the opportunity to present our plans for the project’s implementation. The key idea of the project is to bring the application of artificial intelligence closer to the S3 sectors, which represent one of the key strategies for digitization in agriculture and supply chain, medicine, tourism, and energy sectors.
As previously announced, on September 30th, we organized an entrance test and questionnaire for all applicants. More than 65 candidates took the entrance test and questionnaire, and after analyzing the results, we selected more than 40 of them who will undergo training over the next 2 months.
Additionally, on October 7th, we began conducting lectures, starting with Python programming language, which forms the foundation for further training and the development of artificial intelligence models through upcoming modules. This training is a continuation of previous NCC Montenegro and Open Mind Academy efforts.
Congratulations to everyone, and we look forward to collaborating with all our participants.
The thesis underscores the effectiveness of artificial intelligence in combating phishing attacks and underscores the importance of continued research and innovation to safeguard users and their data in the digital realm. Beyond technical aspects, the paper provides a theoretical framework on cyber security, phishing attacks, and the role of artificial intelligence in modern cyber defense. It emphasizes the ongoing need for research and improvement in this area due to the evolving nature of cyber threats. This BSc theis work was done by Mr Ivan Novakovic under the menthorship of prof. Armin Alibasic.
ABSTRACT – This thesis addresses the critical issue of detecting phishing URLs, a prevalent cyber threat, using advanced artificial intelligence techniques. It examines three models—Logistic Regression, Random Forest, and LightGBM—through rigorous analysis and real data testing to assess their effectiveness in identifying malicious URLs. The results demonstrate that these models, when properly trained and calibrated, can achieve high accuracy in predicting the maliciousness of URLs.
The widespread use of ChatGPT has reshaped the labor market, offering both opportunities and challenges for companies and employees across various industries. This thesis has highlighted that the most positive impacts are likely to be seen in fields like medicine, trade, and education, while sectors such as customer support, media, and administration face significant challenges. ChatGPT should be viewed as a valuable ally for enhancing daily business tasks and boosting productivity. Ths BSc theis was done by Marko Raicevic under the mentorship of prof. Armin Alibasic.
While the current version of this technology excels in certain areas like automation, information processing speed, and knowledge base, it is not poised to replace the majority of employees in the labor market. The future of businesses hinges on how we harness and deploy ChatGPT; it can either be a chance or a threat, depending on our development and utilization of this technology.
ABSTRACT – This thesis examines the groundbreaking impact of OpenAI’s ChatGPT, a revolutionary conversational AI, on the field of natural language processing. ChatGPT’s exceptional performance and capabilities have led to widespread adoption for daily business tasks, setting new trends in the job market. The paper explores ChatGPT’s role in various branches of artificial intelligence and its implications for diverse industries, considering its potential, limitations, and ethical concerns. The research draws on relevant literature to highlight the opportunities and challenges this technology presents. While routine tasks may be automated, ChatGPT is seen as a tool to enhance productivity, emphasizing that workers will not be replaced but augmented by its usage.
Mr Anel Gredic defended his BSc thesis titled “Time series and their application in meteorology” under mentorship of prof. Luka Filipovic. Thesis discusses the significance of time series analysis in meteorology. Time series, which are continuous records of meteorological data like temperature, precipitation, humidity, and wind speed, play a vital role in meteorological science. They are collected by specialized weather stations and satellites and are essential for meteorologists and climate researchers. Time series analysis involves using statistical methods and models to understand the variability of weather conditions over time. It helps identify seasonal patterns, trends, and extreme events, which in turn aids in weather forecasting and climate change monitoring. The application of time series analysis extends beyond meteorology, impacting various aspects of everyday life. This research has profound implications for society and various industries, improving safety, sustainability, and efficiency.
ABSTRACT – Time series are continuous sequences of meteorological data, such as temperature, precipitation, humidity, wind speed, etc., recorded over time at the same location. These data sets are often collected by specialized weather stations and satellites, and are an invaluable resource for meteorologists and climate researchers. Time series analysis is a fundamental component of meteorological science. Through the use of statistical methods, models and techniques, meteorologists can better understand the variability of weather conditions over time. This analysis enables the identification of seasonal patterns, trends and extreme events. It also helps develop models for weather forecasting and climate change monitoring. The application of time series extends to various aspects of our everyday life. Analysis of time series and their application in meteorology are crucial for understanding and predicting weather phenomena, climate change and protection against extreme weather events. This research has a profound and far-reaching impact on our society and various industries, contributing to the improvement of safety, sustainability and efficiency.