AIFUSION – Artificial intelligence in agriculture, medicine and energy

The University of Donja Gorica, with the support of the Innovation Fund of Montenegro, as part of the program for the organization of education in the areas of smart specialization of Montenegro, organizes a three-month training called “AIFUSION – Artificial intelligence in agriculture, medicine and energy.” The course will be held in the period from the end of September (September 21) to the end of December (December 21) 2024.

The education program is divided into 5 modules: Introduction to artificial intelligence, Computer vision, Natural language processing, Artificial intelligence and S3 in practice and Ethics and responsible use of artificial intelligence and work on the final project.

Apart from the fact that the 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.

A detailed agenda is available at link.

To apply, you need to fill out the Google form found at the link https://forms.gle/f8Pc8ozu9U3tHKY98. Applications last until September 20 (11:59 p.m.), and the course is scheduled to start on September 21.

Image(s) from previous workshops

New model developed in the field of HPC technologies through the collaboration of DigitalSmart and NCC Montenegro

In collaboration with the National Competence Center Montenegro (NCC Montenegro), the University of Donja Gorica (UDG), and the University of Montenegro (UCG), the company DigitalSmart has successfully started the development of a new model utilizing advanced High Performance Computing (HPC) technologies. This partnership represents an important step towards applying HPC resources to solve complex problems and enhancing academic and industrial processes in Montenegro.

The new model is designed to optimize data processing, providing faster and more efficient solutions for research and development in the field of generative artificial intelligence. The use of HPC technologies in this context enables greater scalability and precision in the analysis and processing of large datasets.

The experiment has been successfully submitted through the Fortissimo call, paving the way for further validation and application of this model on an international level.

Industry Collaboration with Bearhost, an SME from Bijelo Polje

NCC Montenegro continues the engagement of local companies to promote the use of HPC and provide support for its practical applications. Company Bearhost from Bijelo Polje is working on a medical platform that will utilise AI for better communication between patients and medical providers. Their idea is to create the platform that integrates seamlessly with existing clinic management systems, supporting real-time appointment scheduling and comprehensive resource management.

The use of HPC ensures that the platform can process large volumes of patient data quickly and efficiently, thus optimizing clinic operations. This approach significantly reduces operational delays and allows for better patient data management, contributing to enhanced clinical outcomes. Bearhost, in collaboration with the Competence Center for HPC, seeks to address pressing healthcare challenges by utilizing AI to optimize patient-doctor interactions. The AI system, powered by HPC resources, is designed to analyze vast amounts of patient data in real-time, providing insights that help match patients with the most suitable healthcare professionals based on their symptoms and needs. By streamlining these interactions, the platform enhances timely medical interventions and improves overall patient care.

The collaboration with the UDG and NCC Montenegro further enriches this initiative by fostering academic research and development. The university’s role in this partnership involves conducting research on AI models and their practical application in medicine, ensuring that the solutions developed are grounded in scientific rigor and are continuously improved through testing and validation. The interdisciplinary exchange between the university and industry partners contributes to the platform’s continuous evolution.