Joint workshop with AmCham

Within the scope of focused communication and productive industry interactions, NCC Montenegro is organizing joint workshop with business association AmCham (American Chamber of Commerce) on 17.11.2023. Industry workshop will provide Montenegrin companies with:

  • Brief introduction to HPC systems, technologies, applications and benefits,
  • Presentation on HPC success stories and best practices from various industries,
  • Demonstration of the HPC4SME tool to evaluate companies’ HPC readiness
  • Presentation of HPC activities of NCC Montenegro,
  • Networking opportunities and follow-up consultations with HPC experts

We believe that this workshop will increase awareness on HPC&AI opportunities, provide valuable insights and inspirational use cases to the members and partners of AmCham Montenegro, enabling them to stay updated with the latest technologies and industry trends, and to discover supercomputing power to enhance their business and competitiveness.

The Agenda of upcoming event :

HPC opportunities for financial industry services

Representative of NCC Montenegro, Sanja Nikolic participated in the Round Table “Montenegrin Finance and Internationalization”, organized by Montenegrin Academy of Science and Art. On this event, topics related to the international competitiveness, financial opportunities and fast-paced digitalization with HPC&AI, were lively discussed with representatives of academia, banking sector, investment & trading institutions.
Mrs. Nikolic presented technical and commercial aspects of HPC systems and emphasized HPC/AI powered use cases in the financial services industry. EuroCC/EuroCC2 supercomputing opportunities and NCC Montenegro activities related to HPC/AI study programs, trainings and industry success stories were also elaborated.

Event in media :

Quantum computing 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

BSc thesis: Time series and their application in meteorology

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.

Meeting with colleagues from FON UoB

Researchers from University of Donja Gorica (UDG) and NCC Montenegro visited partners from Faculty of organizational sciences University of Belgrade (FON UoB) during their summer school at Perast. Colleagues from FON presented their exhibition of AI generated images titled “Imagine Boka” and their activities about startups and marketing.

We presented the most interesting activities on UDG along with activities on NCC Montenegro and the EuroCC project. We spoke about possibilities of future collaboration on educational programs, training courses, digital transformation topics, AI and similar subjects.