Author: NCC Admin

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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

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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.

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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.

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Twinning activities: NCC Romania and Montenegro

Representatives from NCC Montenegro and NCC Romania organized a productive one-day online workshop aimed at sharing knowledge and complementary experiences related to academic collaboration, training activities, industry interaction processes, communication tools and success stories/use cases. The agenda for the meeting is available at this link.

During the workshop, participants contributed with valuable insights and engaged in constructive discussions around common challenges including: training portfolio development, open source code repositories, cross-NCCs Open Call for innovative SMEs, technical expertise /HPC infrastructure access, methodologies for competence mapping, needs assessment end-user engagement, service offerings, communication channels exploitation etc.

A dedicated session was also conducted, with a focus on HPC/HPDA/AI success stories and use cases, primarily in smart agriculture, precise meteorology, and medical AI/ML based applications. This session generated discussions on benefits provided by AI/ML models and underlying HPC technologies, including increased productivity, enhanced model performance, improved accuracy and time-saving solutions.

The collaboration between both teams proved successful start, setting a solid foundation for future joint activities. Initial timing and resource planning were discussed for upcoming joint training sessions tailored for academia, researchers and students, as well as an opportunity for co-organized workshops designed for industry managers.

AGENDA RONCC TWINNING EVENT 27th-July-2023Download
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Meeting with representatives of Faculty of Science and Mathematics, University of Montenegro

The representatives of Faculty of Natural Sciences and Mathematics from University of Montenegro were welcomed by the experts and researchers at HPC NCC Montenegro, who presented EuroCC2 project, NCC Montenegro activities and available supercomputing infrastructure and services. The HPC NCC team highlighted the NCC’s commitment to facilitating collaborations between academia and industry, through shared HPC resources, expertise and experience.

The representatives of Faculty of Natural Sciences and Mathematics were particularly interested in understanding how the supercomputing resources at HPC NCC could be leveraged for ML models and public sector applications, as well as to address complex research challenges and interdisciplinary collaboration. The NCC team also emphasized HPC/AI workshops and cross-NCCs trainings sessions to enhance the computational capabilities of researchers and familiarize them with HPC infrastructure and software tools and techniques.

The collaboration between these institutions has the potential to improve scientific research and accelerate advancements in various public fields.

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