nccmne, Author at EuroCC Montenegro

22.10.2022.31.10.2022.

Meeting with the Institute of Hydrometeorology and Seismology

Researchers from the Institute of Hydrometeorology and Seismology, department for numerical weather analysis and prediction, visited NCC Montenegro and University of Donja Gorica. Mr Angel Marcev and mr Aleksandar Marcev met with our team to discuss the next steps in the collaboration. The discussion was about the results achieved with the simulated weather data prediction models and we made plans for future work based on HPC simulations. We discussed possibilities of usage of weather prediction with higher resolution that could be used for smaller areas for smart agriculture, energy and similar domains and possibilities of machine learning usage on data with meteorological conditions.

The institute representatives visiting EuroCC Monteengro

Discussion included the use of HPC to improve weather prediction models for various applications

22.10.2022.27.10.2022.

How to build Machine Learning collaboratively by Hugging Face

How can you show what a Machine Learning model does once it’s trained?

In this talk, you’re going to learn how to create Machine Learning apps and demos using Streamlit and Gradio, Python libraries for this purpose. Additionally, you’ll see how to share them with the rest of the Open Source ecosystem. Learning to create graphic interfaces for models is extremely useful for sharing with other people interesting them. The lecture will take place on 2 November 2022, 18:30h. Expected duration is 1 hour.

For registration please click on the following link.

What is required to follow it?

👉 Basic knowledge of Python

👉 Conceptual knowledge of ML

👉 A google Colab account

👉 A Hugging Face Hub account

20.10.2022.27.10.2022.

BSc Thesis: AI/ML Computer Vision for Smart Parking

Ms Zoja Scekic, a student of the Faculty of Applied Sciences, defended her BSc Thesis in Electrical Engineering and Computer Science. The topic of the thesis work was the use of machine learning to detect and classify the parking spaces by processing images from camera sensors. Such a solution could find application in Smart city solutions. The work focused on the creation of a prediction model as well as validation with images collected at the UDG parking. She has done her thesis work under the supervision of prof. Tomo Popovic, PhD, and mr Stevan Cakic, MSc.

ABSTRACT – Smart city is one area with the growing use of Internet of Things and Artificial Intelligence. The concept of smart cities relies on making quality of life better, and solving important problems, such as global warming, public health, energy and resources. Smart parking management is one of the smart city use cases. This paper describes the use of deep learning algorithms to process images of parking lots and determine their current occupancy. The development of prediction models was done using PKLot dataset with 12417 images, Detectron2 software library, and Faster R-CNN algorithm. The resulting models can be integrated into parking space sensors and used for building smart parking solutions, and thus lead to more efficient use of space in urban areas, reduced traffic congestion, as well as reducing parking surfing to minimum.

Another excellent graduate from the Faculty of Applied Sciences

19.10.2022.27.10.2022.

AIMHIGH Project Presetented at the FF4EuroHPC Workshop on OC1 Experiments

FF4EuroHPC Experiment 1003 focused on AI/ML Based Computer Vision for Next Generation Poultry Farms was presented at the OC1 Workshop today. We discussed the project objectives, experiment approach, the benefits of the use of HPC and Deep Learning. Learn more about FF4EuroHPC project and HPC experiments at https://www.ff4eurohpc.eu/.

The fourth workshop took place on October 19th, 2022 and included presentations of the experiments related to Maintenance, Agriculture & Assets Management Sectors. University of Donja Gorica and NCC Montenegro were part of the experiment presentation related to the use of HPC to develop AI/ML computer vision solutions for smart agriculture.

AIMHIGH Presentation at FF4EuroHPC Workshop

14.10.2022.27.10.2022.

FF4EuroHPC Success Story Workshop Part 4 (19.10.2022)

The first tranche of 16 experiments under the FF4EuroHPC Open Call #1 was successfully completed. FF4EuroHPC organized several workshops to present the outputs and results through business benefits organisations gained while implementing HPC, AI and other advanced technologies for business in various sectors.

The fourth workshop will be held on October 19th, 2022 and will present the experiments related to Maintenance, Agriculture & Assets Management Sectors. University of Donja Gorica and NCC Montenegro will be a part of the presentation pertaining to the use of HPC to develop AI/ML computer vision solutions for smart agriculture. More information and the link for registration are available here.

19.10.2022 AGENDA

9:30 – 9:35: Welcome & introduction
9:35 – 09:55: Tomo Popovic, DigitalSmart – AI/ML Computer Vision for the Next Generation Hen Farms
10:05 – 10:25: Jean-Luc Bouchot, Artelys – Massively parallel power network simulations and optimization
10:35 – 10:55: Giacomo Barigazzi, Axyon – Leveraging HPC for AI & DL-powered solutions for asset management

09.10.2022.08.11.2022.

Parallel Computing Course

University of Donja Gorica and NCC Montenegro are organizing parallel computing course. Parallel computing is essential for solving numerical problems that are too hard for sequential programs. During this course, distributed and parallel computing will be introduced to the students and industry partners, as well as performance indicators of parallel programs. In the second part of training, students will be familiarized to the fundamentals of parallel programming with multicore HPCs using shared memory and distributed memory architecture with OpenMP and MPI. After adoption of parallel programming essentials, lectures will cover all steps of decomposition of serial program and their transformation into parallel; recognize parallelization and communication potential problems.

The expected duration of the course is 5 weeks, 90 minutes per week in the afternoon hours

Course start : 9.11.2022, 17.30,
Location : University of Donja Gorica, A3 amphitheatre (3rd floor).

Course plan : download
Regristration: https://forms.gle/Swpq9KKr4qZhcokm8 , deadline for registration 08.11.2022.
More info : mnencc@udg.edu.me

04.10.2022.27.10.2022.

FF4EuroHPC Success Story Workshop Part 3 (13.10.2022)

The 3rd webinar will inspire you by presenting Success Stories from weather forecasting, environment and business sector highlighting benefits the application of HPC, AI and other advanced technologies bring to business. You can register for the workshop here.

13.10.2022 AGENDA

9:30 – 9:35: Welcome & introduction
9:35 – 09:55: Jose Munoz, Aslogic: HERCULES: High-Performance computing for high-value weather forecast
10:05 – 10:25: Emanuele Della Volpe, Green Tech: HPC-based navigation system for Marine Litter hunting
10:35 – 10:55: Martin Shade, PriceIntelligence: Market Innovation Sourcing