Category: News

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Supporting Training on AI in Pharmaceutical Industry

At the Avala Hotel in Budva, on September 27, 2024, as part of the international EPhEU event, the association of pharmacy organizations from Europe (September 26 to 28, 2024), a session on Module 6 of continuing education for Montenegrin pharmacists was held, titled “Artificial Intelligence in Pharmacy: Digital Challenges, Myths and Misconceptions Incorporated in Digital Media, the Need for New Competencies for Pharmacists.” This event gathered over 150 experts, both online and in person, from the field of pharmacy, aiming to discuss the role of artificial intelligence in transforming the pharmaceutical sector.

Mr Cakic gave a lecture on AI and applications in Pharmaceutical industry

Mr Stevan Čakić from UDG and NCC Montenegro gave a lecture on the history and development of AI, emphasizing its growing importance in pharmacy. Then a special attention was given to the application of AI in drug development, personalized therapy, and optimization of pharmaceutical services. The discussion addressed the potential of AI and HPC to reshape the way pharmacists perform their daily tasks, as well as the need to improve skills and knowledge to adapt to new technologies.

This hybrid event took place in Avala hotel in Budva and online with around 150 attendees

It was concluded that an interdisciplinary approach is crucial for the proper implementation of AI solutions in pharmacy. Experts from technology, pharmacy, and regulatory fields must work closely together to ensure that AI technologies are used in an ethical and efficient manner. This educational module confirmed that the pharmaceutical industry is on the brink of a major technological transformation, where AI will play a significant role, and the future of pharmacy will depend on the ability of its professionals to adopt new digital competencies.

More on the event: https://pkfe.me/edukativni-programi/

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Collaborating for Smarter, Competitive and Sustainable Tourism

The dynamic of digital transformation, adoption of cutting-edge technologies and proliferation of innovative business models, provide Montenegro with strategic opportunities to elevate its tourism sector through data-driven and AI-powered solutions. NCC Montenegro is initiating collaboration with local municipalities and tourist organizations, on Tourism 4.0 project initiatives to optimize visitor experiences, provide smart destination management and promote sustainable tourism.

By leveraging next-generation technologies such as IoT, Computer Vision, Big Data, Artificial Intelligence, Machine Learning, and High-Performance Computing, NCC Montenegro in cooperation with high-tech SME and local municipality, is preparing project initiative on real-time analytics and predictive insights related to tourism dynamic and trends to provide multiple benefits for public authorities, tourist organizations, cultural institutions and local businesses.

By embracing new technologies, advanced data analytics and intelligent modelling key tourism policymakers and stakeholders can achieve multiple benefits. These benefits include data-driven decision making, proactive management of tourist destinations/attractions, efficient resource allocation and capacity planning, better protection/valorization of cultural heritage/sites, increased visitors satisfaction and engagement, tailored offers and targeted marketing by local business, as well as “a-year-round” enhanced tourism strategies. Creating a scalable and collaborative platform for smart tourism management ultimately contributes to attractiveness and competitiveness of the Montenegro tourist destinations.

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The AI Conference on Building a National AI Strategy

The AI Conference, organized by the World Bank on September 24-25, 2024, in Budva, Montenegro, brought together global AI experts, policymakers, and stakeholders from both the public sector and academia to explore the integration of AI into national strategies/policies, government operations, and public services. Representatives from NCC Montenegro actively participated in the two-day workshops, engaging in discussions on AI opportunities, challenges, and practical use cases for public administration. They emphasize the importance of digital upskilling and AI expertise, the need for data repositories and open data policies, and the establishment of advanced computing infrastructure. NCC also elaborated on its activities and efforts in the development of a HPC/AI ecosystem in Montenegro.

Mr. Marash Dukaj, Minister of Public Administration, delivered a welcoming speech recognizing the necessity of AI and its potential to enhance public administration, economic development, and societal progress. He highlighted AI’s ability to enrich citizens’ lives through personalized services, enhanced resource management, business process optimization, and new innovation opportunities. The Ministry of Public Administration, in partnership with the World Bank through the BEST project, is set to develop a strategic roadmap for AI adoption in Montenegro.

Dr. Keegan McBride, lecturer in AI, Government, and Policy at the Oxford Internet Institute, outlined essential AI concepts for public sector implementation. Barbara Ubaldi, Head of the Digital Government and Data Unit at OECD, shared valuable insights from AI strategies in OECD countries, highlighting various public sector AI applications, and lessons learned. AI expert, Varun Hemachandran presented practical examples of AI in government contexts, while Divya Siddarth, Executive Director of the Collective Intelligence Project, stressed the critical role of stakeholder engagement in AI development.

Participants engaged in working groups and brainstorming sessions focused on envisioning a national AI strategy, creating building blocks for AI governance, and addressing potential challenges in administrative services, tax policies, and digital health. The conference provided a dynamic platform for discussing strategic, transparent, and responsible approaches to AI integration in the public sector, fostering valuable knowledge, insights and networking opportunities to advance Montenegro’s AI agenda.

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AI and Data-intensive Applications EuroHPC JU Access call 2024

The call is designed to serve industry organisations, small to medium enterprises (SMEs), startups, as well as public sector entities, requiring access to supercomputing resources to perform artificial intelligence and data-intensive activities.

Start date: time-to-resources-access of one (1) month after the date of cut-off.

Duration: The allocations are granted for one (1) year.

Next cut-off dates: 11 Oct 2024, 22 Nov 2024.

For more information, feel free to visit our website eurohpc-ju.europa.eu or drop an email to access@eurohpc-ju.europa.eu

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Lecture on AI and Collective Intelligence

On Friday, September 27, UDG welcomed Divya Siddarth, one of the 100 most influential young people in the field of artificial intelligence, as chosen by TIME magazine! Divya is a researcher at Microsoft Research, in the Political Economy and Social Technologies (PEST) department, and co-founder of the Collective Intelligence Project. Her work focuses on using technology to create fairer societies, with a particular emphasis on decentralized technologies, artificial intelligence and digital democracy. She was recently recognized as one of the key minds shaping the future of artificial intelligence in the service of the common good! The audience included students, researchers and industry representatives.

Ms Divya Siddarth is one of the 100 most influential young people in the field of artificial intelligence
It was a pleasure to be a part of this discussion. There was over 200 people in the audience
Ms Siddarth is a researcher at Microsoft Research and co-founder of the Collective Intelligence Project
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Revolutionising Agriculture with HPC and AI: Real-World Applications

At the Revolutionising Agriculture with HPC and AI: Real-World Applications conference, the project, AIMHiGH, was presented, with DigitalSmart as the coordinator. The project, implemented as part of the HPC Fortissimo initiative and funded through the Horizon 2020 FF4EuroHPC program, was titled AI/ML Enabled by HPC for Edge Camera Devices for the Next Generation Hen Farms. Stevan Cakic presented experience with the AIMHiGH project that introduced cutting-edge HPC and AI/ML technologies that significantly impacted the poultry farming sector. One of the key achievements of the project was enabling real-time monitoring and data-driven insights. Farmers gained access to continuous, real-time surveillance of their poultry through edge cameras equipped with AI models. These models could analyze live footage to identify early signs of illness, stress, or abnormal behavior, allowing immediate intervention. This innovation improved animal welfare, minimized losses, and enhanced overall productivity on the farms.

In addition, the project provided an advanced solution for disease detection and prevention. The AI models developed during the project were capable of detecting subtle signs of illness long before they became visible to the human eye. This early detection allowed for more effective prevention and control, reducing the spread of diseases and ultimately leading to lower usage of antibiotics, which had a positive impact on both costs and animal health. Moreover, the project’s technological solutions helped optimize resource usage, particularly in terms of feed and water management. With real-time behavioral and health data from the birds, farmers could adjust feeding schedules and amounts according to actual needs, reducing waste and cutting down on unnecessary resource consumption. This not only reduced environmental impact but also contributed to more efficient and sustainable production practices.

Presenting HPC and deep learning appraoch

The project’s approach to automating monitoring and decision-making processes also had a transformative effect on production efficiency. By reducing the need for manual supervision, the system allowed farm workers to focus on more critical tasks, leading to higher production outputs while maintaining lower operational costs. A further advantage was the scalability and flexibility of the technology. The use of edge devices allowed these AI models to be easily deployed in various farm setups without requiring expensive infrastructure. This made the technology accessible to both large-scale operations and smaller farms, ensuring that the benefits of AI and HPC could reach a broader segment of the poultry farming industry. Throughout the project, collaboration with key partners played a crucial role. DunavNET contributed its expertise in AI, machine learning, IoT, and software development, while The University of Donja Gorica brought significant HPC expertise through NCC Montenegro and the FoodHub Centre of Excellence. Montenegrin companies Meso-promet Franca and Radinović Company participated actively in the evaluation and piloting phases of the project, ensuring the practical relevance and success of the solutions developed. Overall, the AIMHiGH project was fully aligned with the priorities of Montenegro’s S3 Smart Specialisation Strategy, making significant contributions to technological innovation in the poultry sector, while strengthening the local economy and supporting more sustainable farming practices.

Discussing experiment results and prospects for future work
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Partnering with DigitalSmart and Recrewty to revolutionize HR

NCC Montenegro is proud to announce its collaboration with DigitalSmart and Recrewty to HPC and AI for advancing HR management in companies. This partnership brings together leading experts in HPC, AI, and HR technology to create innovative solutions tailored for the HR industry. This effort will leverage HPC to develop scalable and efficient AI models that enhance HR processes such as recruitment, psychometric assessments, and decision-making. Recrewty with its ambition to develop AI-driven HR solutions, will focus on integrating machine learning algorithms for improved data processing of HR applications. DigitalSmarta will contribute its expertise in digital transformation and smart technologies to ensure the new model is robust and capable of meeting the demands of modern HR management.

Collaboration aimed at the use of HPC and AI tools to advance HR processes

Key outcomes of this collaboration include optimized AI models that can process large HR datasets more effectively using HPC, scalable HR solutions designed to meet the needs of companies, enhanced data processing capabilities to improve decision-making in recruitment and other HR areas, and a local and regional impact through the development of tools tailored for underrepresented languages and markets. This project aligns with NCC Montenegro’s mission to foster technological innovation in the region and highlights the growing importance of HPC and AI in transforming HR management across various industries.

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