Cross-project collaboration with AI4S3

At the University of Donja Gorica, the Faculty of Information Systems and Technologies has commenced the implementation of the project “Application of Computer Vision and Deep Learning in Agriculture and Food Production, Medicine, and Energy (AI4S3).” The project is funded within the program to promote the development of an innovation culture and organize education in the fields of smart specialization in Montenegro by the Innovation Fund (https://fondzainovacije.me/).

The implementation of AI4S3 has started

On September 28th, as part of the 9th Festival of Science and Innovation, we had the opportunity to present our plans for the project’s implementation. The key idea of the project is to bring the application of artificial intelligence closer to the S3 sectors, which represent one of the key strategies for digitization in agriculture and supply chain, medicine, tourism, and energy sectors.

Over 65 candidates applied for the training

As previously announced, on September 30th, we organized an entrance test and questionnaire for all applicants. More than 65 candidates took the entrance test and questionnaire, and after analyzing the results, we selected more than 40 of them who will undergo training over the next 2 months.

The training is supported by the Innovation fund of Montenegro

Additionally, on October 7th, we began conducting lectures, starting with Python programming language, which forms the foundation for further training and the development of artificial intelligence models through upcoming modules. This training is a continuation of previous NCC Montenegro and Open Mind Academy efforts. HPC4S3 researchers are providing are taking an active role in the implementation of the training.

Congratulations to everyone, and we look forward to collaborating with all our participants.

HPC4S3ME In-House Lab Setup

After the physical installaion, we performed system software installation including operating system (Oracle Linux 9) and hardware drivers for GPUs (nVidia T4). This was the next stage of the in-house lab equipment validation. Young researchers have got their user accounts and they can start migrating their projects from their local setups (laptops, Google Colab) and rented HPC resources.

Rack cabinet cotaining computing nodes and UPS
Installation of the operatying system and hardware drivers