Students to Develop Cutting-Edge AI Solutions for Real-World Challenges

September 9, 2024
From October 4 to 6, Riga Technical University (RTU) will host the Baltic AI Hackathon. Organized by the RTU Science and Innovation Centre in collaboration with Meta, IBM, Tallinn University of Technology, Tartu University, and Vilnius Gediminas Technical University, the event invites Baltic students from all academic levels and study programs to address real-world societal challenges using the limitless potential of artificial intelligence (AI).

 

During the hackathon, students will develop generative AI solutions, tackling key challenges in education, social inclusion, sustainability, and public services. These challenges are defined by a number of hackathon partners, including Riga Stradins University, Tartu University, the Latvia State Radio and Television Center, the Road Transport Administration of Latvia, the Consumer Rights Protection Centre, and the Central Finance and Contracting Agency.

 

Participants will benefit from high-performance infrastructure provided by IBM, including access to Meta's Large Language Model, Llama 3. This platform will enable real-time development and testing of generative AI concepts supported by state-of-the-art computing power. The top prize for the hackathon is a visit to the Meta FAIR AI laboratory in Paris, France. In addition to the main prize, participants will have the chance to win other valuable incentive awards.

 

The event will take place at RTU's Institute of Architecture and Design, located at Ķipsalas Street 6, Riga. English will be the official working language. Registration is open until October 1, and the number of participants is limited.

 

Gatis Ozols, Deputy Secretary of State for Digital Transformation at the Ministry of Smart Administration and Regional Development (VARAM), emphasizes Latvia's goal of becoming a leader in AI implementation: "Latvia's ambition is to become the most AI-friendly country in Europe. Hackathons play a crucial role in offering a safe space for innovation and collaboration. These events accelerate the creation of new ideas, fostering cross-sector cooperation to develop innovative solutions. Our state program, 'Digital Academy,' will continue to support AI prototype development in the public sector."

 

Meanwhile, Vitnija Saldava, Regional Public Policy Manager for Meta in the Baltics, also highlights the significance of this initiative: "No current technology has more potential to bring more opportunities to societies and economies than AI, and we believe that a flourishing open-source community is central to realizing that potential. Since their release in early 2023, our Llama models have been downloaded hundreds of millions of times, and already built impactful solutions, including here in the Baltics. We're proud to be sponsoring this initiative that will bring together students, academics, private and public industry to further support the Baltics in becoming a European leader in AI." 

 

Given the event's technical nature, registered participants can join informative online sessions on September 24 and October 1. These sessions will introduce the technologies used during the hackathon and the challenges set by the event partners.

 

The first day of the hackathon will also feature a kick-off session dedicated to the Baltic AI ecosystem and policy-makers, discussing the region's potential to lead Europe in AI innovation. Register for the kick-off event here. 

 

The event is supported by Meta, IBM, VARAM, Tilde, the Ministry of Economic Affairs and Communications of the Republic of Estonia, the Lithuanian Innovation Agency, Emergn, KPMG, and other partners.

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VILNIUS TECH Library invites you to follow the published new dissertations. The dissertation „Investigation of recurrent neural networks-based methods for early fault detection and short-term power forecasting in wind energy applications“ prepared at VILNIUS TECH by Mindaugas Jankauskas. The dissertation was prepared in 2021–2026. Scientific consultant – Prof. Dr Artūras Serackis. The dissertation was defended at the public meeting of the Dissertation Defence Council of the Scientific Field of Electrical and Electronic Engineering in the Aula Doctoralis Meeting Hall of Vilnius Gediminas Technical University at 10 a. m. on 5 June 2026. The increasing role of wind energy in modern power systems creates a growing need for reliable turbine operation, accurate short-term power forecasting, and computationally efficient data-driven methods. This dissertation addresses two related problems: early fault detection in wind turbines using supervisory control and data acquisition (SCADA) time-series data, and short-term wind farm power forecasting using meteorological forecasts. The dissertation aims to develop and investigate data-driven methods that improve the accuracy, efficiency, and practical applicability of short-term wind power forecasting and early wind turbine fault detection using SCADA and meteorological forecast data. The first part of the dissertation develops and investigates a virtual-sensor-based method for condition monitoring and early fault detection in wind turbines using SCADA time-series data, including the selection of the most informative features and the evaluation of factors affecting prediction accuracy. The second part of the dissertation analyzes and optimizes recurrent neural-network structures for the virtual sensor by evaluating feature-sequence formation, training schemes, and alternative activation functions to increase accuracy and reduce the computational cost relevant for practical deployment. The third part of the dissertation develops and investigates a bidirectional long short-term memory (BiLSTM) based method for short-term wind farm power forecasting using meteorological forecast data, and evaluates the impact of different numerical weather prediction (NWP) sources and the suitability of an objective function with a normalized Nord Pool price multiplier for day-ahead energy production forecasts. The dissertation contributes to the fields of wind energy and artificial intelligence by proposing and validating data-driven methods for virtual sensing, residual-based early fault detection, recurrent-model optimization, computationally efficient activation-function selection, and economically meaningful short-term wind power forecasting. The research results have been published in three peer-reviewed scientific journals and one conference proceeding, and were presented at seven conferences and seminars. Doctoral dissertation readers can search via VILNIUS TECH Virtual Library.
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Geopolitics is changing design priorities: infrastructure must withstand explosions too
Geopolitics is changing design priorities: infrastructure must withstand explosions too
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The researcher explains that the effect of an explosion on structures differs fundamentally from conventional loads. “An explosion affects a building extremely suddenly. A blast wave forms and, within a very short time, transfers significant pressure to the façade, windows, walls, and floors. What distinguishes an explosion from other challenging conditions is the duration of its impact. Snow loads a structure gradually over a long period, and even wind is not as sudden as an explosion. In the case of an explosion, the impact is felt almost instantly.” As a result, structures respond differently as well. “The key question is not only whether an element can withstand the load. What also matters is how it behaves under dynamic loading—how it deforms and whether it maintains its integrity.” According to Dabrila, explosions often first damage weaker elements such as windows, façade components, and non-load-bearing walls. The greatest risk arises when load-bearing elements are damaged, leading to more extensive structural failures. In such cases, collapse may occur. “In rare cases, localized damage can trigger a much larger collapse. For example, if a single column is damaged, internal forces are redistributed to other elements, which may also fail, causing the collapse to spread further. It is important to note that such situations are rare in ordinary buildings. Buildings are designed with safety margins, and regulations require the evaluation of structural safety and reliability.” Reducing the impact is essential According to Dabrila, blast resistance requires a comprehensive approach: both the resilience of the structure itself and measures that either increase the distance between the explosion and the building or reduce the impact of the blast. “A building’s resistance to explosions does not depend solely on stronger walls or columns. It is a system-wide issue: how the building is designed, how it behaves when damaged, and what additional measures reduce the impact before it reaches the structure. From a structural perspective, the most important thing is sufficient load-bearing capacity. If a column, beam, slab, or connection is damaged, internal forces should be able to redistribute to other structural elements. Then the failure of one element does not necessarily lead to the collapse of the entire structure.” It is also important to understand how the structure behaves under sudden loads. Explosion loads are extremely intense and short-lived, so engineers must evaluate not only whether a component can withstand the load but also how it deforms and whether the structure retains its integrity. Equally important are measures that reduce the impact itself. “These may include standoff distances, earth berms, concrete barriers, additional protective structures, screens, or nets. Their purpose is to move the threat farther away, block direct impact, or absorb part of the energy so that it does not reach the primary structure. We can see practical examples in Ukraine. The country employs various protective solutions, ranging from additional structural elements to protective nets that reduce the risk of direct drone strikes or other impacts.” How blast resistance is achieved According to Dabrila, designing structures that are more resistant to explosions involves solutions at several levels — from reducing the impact itself to strengthening the structure. “The first goal is to reduce the impact before it reaches the building. This can be achieved through standoff distances, concrete blocks, earth berms, barriers, protective fences, anti-drone nets, or additional structural installations. At the same time, the most critical structural components — columns, slabs, walls, and connections — are strengthened. This can be done using steel, reinforced concrete, composite materials, or additional bracing.” Energy-absorbing systems are also used, including protective panels, multilayer façades, and composite modules. Their purpose is to absorb part of the blast energy and reduce damage to the primary structure. According to Dabrila, digital technologies make it possible to evaluate potential scenarios in advance. “Modeling is also extremely important. Today, numerical models allow us to evaluate how a building or its individual elements would behave during an explosion, impact, or another extreme event. This enables us to base decisions on calculations and testing rather than assumptions. In the future, I believe we will see more lightweight, easily installable protective systems — for example, multilayer composite modules that can be used to protect existing buildings and infrastructure.” Science is seeking practical solutions Dabrila explains that research in this field is focused not only on theory but also on practical applications in infrastructure design. The Faculty of Civil Engineering at VILNIUS TECH studies how structures and materials behave under complex loading conditions. “Our research focuses on structural resistance to extreme loads and the development of lightweight multilayer composite systems. We are looking for solutions that could provide additional protection for buildings, bridges, and other infrastructure against impacts, blast waves, high temperatures, and similar threats. One area of research involves protective composite modules that could be installed on existing structures and serve as an additional protective layer.” According to him, both the materials and their internal structure are important. “Different layers, materials, and internal geometries can be combined, including energy-absorbing structures. The goal is to make the protection as lightweight as possible while maximizing energy absorption.” Experimental testing conducted at the faculty helps researchers understand the real behavior of materials, while numerical modeling allows this knowledge to be applied on a larger scale. “Through testing, we observe how materials actually deform and fail. Modeling allows us to scale those results up — for example, evaluating not only a small specimen but also a structural component or a real-world structure. Such research is important because it can lead to practical recommendations: which materials to choose, what layer configurations to use, how to attach protective modules, and where protection would provide the greatest benefit.” The goal is to control damage Dabrila stresses that it is impossible to make buildings completely resistant to explosions. Everything depends on the size of the explosion, the distance from the blast, the building’s structural system, the surrounding environment, and how the impact reaches the building. “The primary objective is usually not to make a building ‘indestructible’ but to control the damage. This means setting clear priorities. The most important goals are protecting people, preventing sudden collapse, reducing damage, and, if possible, maintaining critical functions.” In Dabrila’s view, assessing infrastructure resilience against extreme scenarios has not yet become common practice in Lithuania. Explosions and other extreme scenarios are typically considered only for specific types of facilities. However, changing circumstances are also changing design priorities. “There is increasing discussion about civil protection, critical infrastructure security, and the resilience of facilities under crisis conditions. As a result, this topic is gradually moving from a narrow specialist field into a broader engineering and national security issue.” He notes that much still depends on the client’s perspective. “Such solutions often involve additional costs, while their benefits become apparent only during a crisis. As a result, it can be difficult to justify the investment, especially when the primary focus is minimizing construction costs.” Nevertheless, he believes that building resilience should be viewed not as an extra expense but as a risk management measure. “Resilience is not a luxury — it is risk management. Not every project requires the most expensive solutions, but critical facilities should be subject to higher standards. Sometimes even simple measures — better site planning, protective barriers, or strengthening critical structural elements—can significantly reduce risk.” In his opinion, infrastructure security will increasingly be viewed as part of national resilience. “Whether such solutions become a standard part of the design process will depend on clients’ attitudes and on clear requirements and methodologies. Designers need to know when such scenarios must be assessed and how to evaluate them. I believe that, at least for critical infrastructure, such assessments should become standard practice. Not every building requires the same level of protection, but the most important facilities should be designed with extreme scenarios in mind.”
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