Training Archives - Page 4 of 11

08.09.2023.03.10.2023.

AI4S3 – Application of computer vision and deep learning in agriculture and food production, medicine and energy

NCC Montenegro team members and the Faculty of Information Systems and Technologies (UDG), with the support of the Innovation Fund of Montenegro as part of the program to encourage the development of innovation culture and the organization of education in the areas of expertise in Montenegro, organizes a three-month training called “AI4S3 – Application of computer vision and deep learning in agriculture and food production, medicine and energy” which will be held in the period from the beginning of October to the end of December 2023.

AI4S3 – Computer vision applications in S3

The purpose of education is to provide young people with high-quality education in order to acquire the relevant knowledge and skills needed for a successful career, but also to, above all, interest participants in the field of artificial intelligence and to become participants in the digital transformation of Montenegro. The education program is divided into 5 modules: Python Programming, Introduction to Artificial Intelligence, Artificial Intelligence and Computer Vision, Python Libraries and Tools for Artificial Intelligence and Artificial Intelligence in S3 Areas, and final project work. In addition to the fact that participants will acquire enough knowledge and skills needed for further research in this very current field, they will have the opportunity to expand their network of acquaintances and meet young people with similar interests. The program and agenda (in Montenegrin) is available here.

Registration is open until Sep 28th ath the following link.

The organization of this 3-month training is supported by the Innovation fund of Montenegro

19.07.2023.15.09.2023.

AI4S3 – educational project proposal approved

The Innovation Fund of Montenegro (the Fund) publishes the list of projects approved for financing within the framework of the Public Call for encouraging the development of innovation culture and the organization of education in the areas of smart specialization. The fund allocated funds in the total amount of 130,000 euros for financing projects within two program lines according to this Public Call. The public call for the mentioned program lines was open from May 8 to June 15, 2023.

The Faculty of Information Systems and Technologies, University of Donja Gorica, proposed the educational project “Application of computer vision and deep learning in agriculture and food production, medicine and energy (AI4S3)” which was highly evaluated and approved for funding. This project focuses on training participants for the application of AI in the priority domains of the Smart Specialization Strategy of Montenegro (S3 Montenegro). This project is continuation of UDG and NCC Montenegro efforts to offer best education and training for HPC, AI and IT in general to Montenegrin stakeholders. The training will take place from October to December 2023.

Education in domains of S3 Montengro by the Innovation Fund of Montenegro

24 projects were submitted to the public call for the program line to encourage the development of innovative culture, of which 21 projects were sent for evaluation, while 35 projects were registered for the program line for the organization of education in the areas of smart specialization in Montenegro, of which 32 projects were sent for evaluation conducted by the Fund’s expert committee, in accordance with the Rulebook on the evaluation process. More info available at the following link.

27.06.2023.03.07.2023.

Master thesis: Computer vision and AI in medicine

Mr Dejan Babic, a young researcher from UDG, just defended his Master thesis on the use of computer vision and artificial intelligence in medicine. This is a great example of using ICT for vertical priority domains of Monteengrin S3. This research was supported in part by HPC4S3ME project and EUROCC. Mr Babic intends to continue his research in this domain and to enroll PhD program at the UDG. Mr Babic explored the use of different tools for ML and he also experimened with the use of HPC for training prediction models that can be used in medicine. He was one of the first MSc theses defended from the Artificial Intelligence Master program created under the EuroCC project.

ABSTRACT – Artificial Intelligence is transforming the way we live, work, and communicate with the world. The proliferation of data has been the biggest driver of AI in recent years. AI in medicine is rapidly developing and holds great potential in revolutionizing healthcare systems. Its application is already producing promising results in disease detection, diagnosis and drug discovery. AI is widely used in medical facilities worldwide as a decision support tool for patient diagnosis. It is expected to bring significant benefits to healthcare sector. In this thesis, the focus is on the application of artificial intelligence and computer vision in solving real medical problems. The research is both theoretical and empirical and focuses on the application of artificial intelligence and computer vision in the detection of pneumonia, segmentation of blood vessels in the retina, and estimation of cardiovascular risk. The main goal of the research is to achieve the highest possible accuracy in specific cases and approaches, in order for these approaches to be considered applicable in medicine. Throughout the study, some of the ethical issues related to the use of this technology were also raised. At the end of the study, the results, potential challenges, and future directions of this research were discussed.

Computer vision and artificial intelligence in medicine

Segmentation of blood vessels in images of retina

27.06.2023.03.07.2023.

Master thesis: The use of Artificial Intelligence on Edge

Mr Ivan Jovovic, a young researcher from UDG, just defended his Master thesis on the use of artificial intelligence and machine learining on edge devices. This research was supported in part by HPC4S3ME project and EUROCC. Mr Jovovic intends to continue his research in this domain and to enroll PhD program at the UDG. Mr Jovovic explored the use of different tools for ML and he also experimened with the use of HPC for training prediction models that can be ported onto edge devices. He was one of the first MSc theses defended from the Artificial Intelligence Master program created under EuroCC project.

ABSTRACT – This thesis explores the combination of artificial intelligence, machine learning, deep learning, and edge computing in modern applications, with a special focus on medicine and agriculture. The paper first introduces the reader to the basic terms and definitions of machine learning, deep learning, computer vision, the Internet of Things and Edge computing. After the theoretical basis, the work provides an insight into the practical applications of these technologies in medicine and agriculture, highlighting the benefits and drawbacks of their applications. In the following, the paper offers a detailed study of practical examples of edge artificial intelligence in agriculture and healthcare, as well as artificial intelligence in the field of medicine, with focus on disease classification. Through the realization and implementation of these projects, the interpretation of the results and the discussion, the paper emphasizes the importance of the integration of artificial intelligence and edge computing in various industries.

Master thesis: The use of Artificial Intelligence on Edge (Edge AI)

01.06.2023.05.06.2023.

Lecture by Professor Onur Mutlu, a world-renowned scientist

The Centre of Excellence – FoodHub and the Montenegrin National Center of Competence in the Field of High-Performance Computing – EuroCC have the opportunity to host this panel. The lecture will be held in Entrepreneurial Nest (Preduzetničko gnijezdo), on June 8, starting at 4 p.m.

Onur Mutlu is a professor of computer science in information technology and electrical engineering in Zurich, Switzerland, and at Carnegie Mellon University. He received his PhD and MS in Electrical and Computer Engineering from the University of Texas at Austin and his BS in Computer Engineering and Psychology from the University of Michigan, Ann Arbor.

His research is related to computer architecture, systems, security and bioinformatics. The work spans and spans the boundaries between applications, systems, languages, system software, compilers, and hardware and addresses many issues of high performance, energy efficiency, hardware security, fault tolerance, predictable systems, reliable systems, and hardware-software cooperation.

prof. dr Onur Mutlu from ETH Zurich is hosted by FoodHub/CoE and NCC Montenegro

28.04.2023.29.04.2023.

Zuzalu Workshop with world-leading innovators: Vitalik Buterin with UDG students

We had a pleasure to host one of the greateast minds of digital world, Vitalik Buterin (founder of Ethereum), and his fellow Zuzaluans, habitants of pop-up city in Montenegro.

World-leading innovators presented their ideas of Montenegro’s golden age, shared their ideas of Montenegro’s future reinforced by the most modern technologies and game-changing concepts. An amazing afternoon will have it’s second part in May! Stay tuned!

Speakers shared their path, where they once were and how they got to where they are now. They shared their dreams and their vision for the future, and what brought them to Montenegro. At the same time, this workshop was a platform for UDG students to showcase their creativity, ideas and perspective, which are critical to shaping the future of any industry. Speakers at the event were Vitalik Buterin, Milojko Mickey Spajic, Tomiwa Ademidun, Gary Sheng, Veronica S. and Zoja Šćekić. The event was moderated by Nela Milošević.

Vitalik Buterin with students during the workshop work group activity

Speakers engaged with students in the discussion

Tomiwa Ademidun started the Pasts/Presents/Futures workshop

Everyone had a great time while discussing future of Montenegro

Discussing innovation and technology as a platform to co-create a vision for Montenegro 2.0

25.04.2023.29.04.2023.

InnovateYourFuture: a successful 2-day ANSO workshop on IoT and AI

A very successful two-day workshop for students and industry tool place on 22-23 April 2023. The workshop was done in the context of tge training project called “Competency Training for IoT and AI – InnovateYourFuture” supported by ANSO – Alliance of International Science Organizations, China. The organization is done in collaboration with EuroCC Montenegro and Montenegrin AI Association. Edge AI devices obtained with the support from NVIDIA Academic Grants. During the event, UDG also presented relevant projects currently implemented at UDG such as H2020 DEMETER, DEP EUROCC2, IPA HPC4S3ME. The agenda for the event is available here.

ANSO InnovateYourFuture Workshop on 22-23 April 2023

During the first day, attendees had a chance to interactively participate in lectures coverin Internet of Things, Artificial Intelligence and MAchine Learning, Data Science and Analytics. Lectures were given by Luka Filipovic, Marko Grebovic, Stevan Cakic, Ivan Jovovic, and Dejan Babic. During the second day, the focus was on practical training and hands on experience. Students worked with Stevan Cakic, Zoja Scekic, Ivan Jovovic, Dejan Babic, Igor Culafic, and Vesna Calasan. The hands on included work tools for dataset preparation, computer vision model training, edge AI devices and porting the prediction models to edge IoT. The students were split into groups and worked on solving practical problems in domains such as agri-food sector, health and medicine, and energy.

Around 40 people took part in the workshop

There was almost 40 people attending the event. We used the breaks for coffee and pizza to network, mingle and discuss interests and exchange experiences. It was also an excellent opportunity for young people interested in IoT and AI to network and get to know each other.