UDG and NCC Montenegro team continue with the implementation of a training project called “Competency Training for IoT and AI – InnovateYourFuture” supported by ANSO – Alliance of International Science Organizations, China. A training event is organized in a form of Workshop at the upcoming IEEE IT2023 conference that is taking place 15-18 February in Žabljak, Montenegro (link). The workshop will include introduction to AI and IoT (AIoT), software tools for AI/ML, edge AI, and IoT, and presentation and practical demonstrations. The target audience is MSc, BSc, and high-school students, but others are welcome, too. The conference program is available at the following link.
Click on image to open IEEE IT2023 conference program
In the period from 15th – 18th of February the 27th international scientific and professional conference “INFORMATION TECHNOLOGIES 2023” (IEEE IT 2023) will traditionally be hosted in Zabljak. The conference will be held in the organization of: University of Montenegro – Faculty of Electrical Engineering, University of Donja Gorica – Faculty of Information Systems and Technologies, IT Society Montenegro, University of Belgrade – Faculty of Organizational Sciences, IEEE Association and IEEE Section for Serbia and Montenegro, with full support of the company Cikom from Podgorica. The chairman of the conference is prof. dr Bozo Krstajic from the Faculty of Electrical Engineering, University of Montenegro.
IT2023 – click on image to open website
Lectures and round table discussions will be organized at the Conference on trends in the development of information and communication technologies in the world, as well as current events in this field in Montenegro. Special session dedicated to project presentations will include EuroCC2 project – National Competence Centres for HPC, two H2020-MSCA projects TRACEWINDU and ODDEA, H2020 projects NI4OS-Europe and DEMETER, Eureka TRADE, Erasmus DigNest, and others.
The conference will include: a short course for Edge AI in IoT solutions (organzed by ANSO and EuroCC Montenegro), an HPC/AI workshop with applications, a presentation of the European cloud of open science and the results of successful international projects. This year, a student workshop will also be held as part of the DigNEST project, which will focus on IT innovations in the field of health and agriculture. In addition to the above mentioned, the papers that have arrived and refer to topics from these areas will also be presented at the Conference.
Click to watch
All those interested can follow the activities at the Conference online as well, through the video conference access links available on the official website of the Conference (link).
MAIA – Montenegrin AI Association is a Non-Governmental organization, founded in September 2022 with an ambition to bring together the Montenegrin AI community. Our goal is to popularize Artificial Intelligence related research and spread awareness of its importance in our country, but also encourage our society to join the fast wave of AI innovation in the World. Several NCC Montenegro team members are taking part in this initiative. Check MAIA website for more details at the following link.
The University of Donja Gorica (UDG), EuroCC Montenegro (national competence center for supercomputers) in cooperation with the National Center of Spain (NCC Spain) organized the course “Deep Learning and HPC”. Guest lecturers from renowned institutions such as Petar Veličković from the University of Cambridge and DeepMind (Introduction to Graph Neural Network), Borja Pavon from Universidad de Cantabria and Barcelona Supercomputing Centre (High-Performance Computing systems), Sergio Perez from Graphcore and Imperial College London (Making new AI breakthroughs with Graphcore IPU), Itana Bulatović from AI Clearing and Shanghai Jiao Tong University China (Deep Learning for Computer Vision), Andreea Deac from Montreal Institute for Learning Algorithms (Deep Reinforcement Learning), Aleksa Šuković from Max Planck Institute (Advanced NLP), Nikola Bulatović from University of Montenegro and Uhura (Introduction to NLP), were involved in the implementation of the training. These classes are organized online for all interested participants.
During this training, we had 30 to 35 active participants from the start to the end of the course. The first and last classes were organized by teachers from UDG and NCC Montenegro (Stevan Čakić and Stevan Šandi) in person for students from UDG (Introduction to Deep Learning, Deep Learning for HPC, Deep Learning with Business and Ethics in AI). The course was mandatory for students of the master’s program Artificial Intelligence as an integral part of the course Deep Learning.
HPC systemsMaking new AI breakthroughs with Graphcore IPU Deep Learning and Computer VisionIntroductionto GNNDeep Reinforcement LearningIntroduction to NLP Advanced NLP
University of Donja Gorica, EuroCC Montenegro (national competence center for supercomputers) and in cooperation with the National Center of Spain (NCC Spain) organize the course “Deep Learning and HPC”. Guest lecturers from renowned institutions such as the University of Cambridge, Universidad de Cantabria and Barcelona Supercomputing Centre, GraphCoreAI and Imperial College London, AI Clearing and Shanghai Jiao Tong University, China, DeepMind, Montreal Institute for Learning Algorithms, Max Planck Institute will be involved in the implementation of the training.
During this course students will learn how to implement deep learning models for real situations on their local machines, key mathematical concepts of deep learning, some key concepts about computer vision and natural language processing.
In the second part of the training, students will learn about high-performance computing in the development of deep learning applications, parallel computing using the Python language on multiple CPUs or GPUs, and the pyTorch library for developing deep learning models. The course starts with guest lectures at the end of November so you need to express your interest as soon as possible. The course is followed by students of the Master AI program at UDG, but also by students of other programs who express an interest in it. Lectures are open to academia, industry and the public sector.
Recommended prerequisites for successfully attending lectures are: good knowledge of algorithms and mathematics, knowledge of at least one programming language (Python is preferred), basic knowledge of high-performance computing (HPC), basic knowledge and interest in artificial intelligence, knowledge of the English language.
Deep learning and HPC training organized by NCC Montenegro and UDG is featured in the national news portal CDM. The presentations and guest talks will be accessible to students and academia, industry, and general public. There is a very interesting line up of lecturers coming from reputable institutions from the region and abroad. More information about the training is available here. Click on the image below to open the post at the CDM news portal.
University of Donja Gorica, NCC Montenegro and NCC Spain are organizing course “Deep Learning and HPC”. During this course, students will learn how to implement deep learning models for real applications on local machines, key mathematical concepts of deep learning, some key concepts about computer vision and natural language processing. n the second part of training, students will be familiarized to high-performance computing in deep learning application development, parallel computing with Python on multiple CPUs or GPUs, pyTorch library for developing deep learning models.
A fantastic lineup of guest lecturers
The talks from visiting lecturers start on 30 November, so it is needed to express your interest as soon as possible. Course is open to academia, industry and public sector. Link for online registration is available here.
Click on image to register
Recommended requirements and background:
Good knowledge of algorithms and math
Good knowledge of at least one programming language (Python is preferred)
Some basic theoretical knowledge of high-performance computing (HPC)
Some basic theoretical knowledge of artificial intelligence
Good knowledge of English
The Agenda is now available at the following link.
