University of Donja Gorica and HPC NCC Montenegro invited a special guest, prof. dr Mladen Kezunović, a Regents Professor at Texas A&M University and Member of the US National Academy of Engineering. Prof. Kezunović gave talk on Artificial Intelligence in Energy Sector. This lecture is part of the series of events pertaining to HPC/AI applications in the priority domains of Motenegrin S3 and in line with the EuroCC NCC Montengro goal for engaging industry with respect to HPC/AI applications . There was over 70 attendees (live and online) including industry representatives (energy sector IT companies), universities, and high schools.
Meeting with the EU-MNE Horizon Europe JRC
The first meeting of the EU-MNE HORIZON EUROPE Joint Committee on Research and the Ministry of Science and Technological Development was held in Podgorica the other day. The meeting was focused on Montenegro’s participation in this most important research and innovation program in the EU. UDG researchers participated in the meeting and discussed the experiences with the past and ongoing Horizon 2020 projects including H2020 DEMETER, H2020-RISE TRACEWINDU, and H2020 EUROCC. More information available at the following link.
Another NVIDIA Academic Grant: Equipment for Edge AI Classroom
NCC Montenegro researchers at UDG won another NVIDIA Academic Grant that will provide additional classroom equipment (Jetson Nano). This equipment will be used for implementing Edge AI classroom and realization of training in AI applications in IoT. The grant was awarded to prof. Tomo Popovic. Researchers participating in the Edge AI training are Stevan Cakic, MSc, Ivan Jovovic, Dejan Babic, and Zoja Scekic and it will be organized in with the support from NCC Montenegro.
HPC training by NCC Romania
HPC NCC Romania, in cooperation with HPC Competence Centers in Montenegro, Portugal and the Netherlands, is organizing training training session (online) in HPC technologies.
Training event will take place on the 26th of May 2022 starting with 09:00 AM (10.00 AM UTC+3). Draft agenda is avaliable at link.
Lectures will cover :
– basic aspects of HPC technology (parallel computing), as well as technical details about accessing HPC resources and the libraries / paradigms used;
– practice session – hands-on exercise, by directly accessing the SURF-NL Supercomputer (Netherlands) from your laptop, which aims to exemplify the use of HPC and apply the concepts in the first part. These exercises will provide access to an HPC-type infrastructure.
In the first part of training, Luka Filipovic, NCC Montenegro, will speak about load balancing algorithms in parallel computing applications.
For the second part of the session, access credentials are needed in the supercomputing system. Participation is free and subject to a limited number of participants.
You will receive the access credentials, as well as the link of the online session, only after registering through the registration form on https://roncc.ro/eurocc-events/hpc-training-event-may-26-2022/. Please register no later than Wednesday, May 25, at 13:00 to have enough time to create all credentials by trainers.
HPC/AI Applications – Opportunities, Challenges and Perspectives
NGO “IT Društvo”, in cooperation with HPC NCC Montenegro, organizes a special session – panel “HPC / AI applications – opportunities, challenges and perspectives” as part of the XXVI scientific-professional conference Information Technology, IEEE IT2022, to be held on June 4, 2022 in the village of Tepca in the canyon of the river Tara, municipality of Žabljak, Montenegro. This panel aims to comprehensively and multidisciplinary review the opportunities, challenges and perspectives of the application of Artificial Intelligence and High-performance Computing in our country and in the world. The panel will be organized in the beautiful ambiance of the Tara river canyon with competent participants, representatives of scientific and educational institutions from the country and the region, agencies and companies. The agenda is available at this link.
Mr Stevan Šandi awarded NVIDIA Academic Hardware Grant
Mr Stevan Šandi, a PhD candidate at UDG and NCC Montenegro team member, won NVIDIA Academic Hardware Grant for his PhD research under DASCAP project. He was awarded an advanced GPU hardware that will be used for AI and Data Science applications in agriculture domain. He will be experimenting with various computer vision prediction models. Doing experiments on a better GPU will significantly reduce the time to get all of the planned experiments done.
Invited Talk: AI in Energy Sector by Prof. Mladen Kezunović (Texas A&M)
University of Donja Gorica and HPC NCC Montenegro invited a special guest, prof. dr Mladen Kezunović, a Regents Professor at Texas A&M University and Member of the US National Academy of Engineering. Prof. Kezunović will give talk on Artificial Intelligence in Energy Sector. This lecture is part of the series of events pertaining to HPC/AI applications in the priority domains of Motenegrin S3 and in line with the EuroCC NCC Montengro goal for engaging industry with respect to HPC/AI applications . The event is planned for 9:30h on 30 May 2022. Due to a limited number of seats, please register using the form is available here. We are also providing a link for online access to the lecture on YouTube (click here for live video).
Summary – The topic of Artificial Intelligence/Machine Learning (AI/ML) and associated analytics rose to prominence as the huge amounts of data became available through the space exploration, weather projections and medical biogenetic investigations. The humans deployed AI/ML to create data models to automate the data analysis, which may be infeasible to do manually or by simulations of physical systems only. Social media and commercial outlets such as Google, YouTube, Facebook, Twitter, Amazon and others have used for a while AI/ML the analysis of huge data sets to develop data models to predict consumer behavior. The power system operators are lately experiencing huge amounts of data obtained through field measurements and external sources such as variety of weather and other ambient data.
This talk focuses on the role of AI/ML data analytics in managing and controlling future power system by predicting power system outages at different spatiotemporal scales. The importance of outage prediction is explored, and examples how the AI/ML analytics are recently used to successful predict the risk of transmission and distribution faults are explored. The use of the risk prediction maps to manage the risk of forced outages and mitigate their impacts, as well as how the risk analysis can be used to schedule participation of distributed energy resources to mitigate outages is illustrated with a few examples. The future trends are also outlined.
