Publicly funded projects

Large language model deployment for medicine

UAB Taikomasis dirbtinis intelektas has launched the project "Development of a unified document and communication language model and an intelligent medical language model for healthcare documents"

The project is funded by the European Regional Development Fund

Project partner: MB Pirmas kodas

Budget: Eur 1486827, financing by EU funds up to Eur 1107546

Duration: June 10, 2024 — June 10, 2026

The project aims to develop a unified language model for documentation and communication and an intelligent medical language model for healthcare documents. The developed smart language model will focus on identifying potential business gaps and suggesting improvements. In addition, the system will predict the company's financial performance based on the content of the analysed documentation.

The uniqueness of this model lies in its ability to retrospectively analyse past projects and generate adapted plans for future situations. This will enable the company to allocate human and financial resources more efficiently. The model will be integrated with the company's existing systems and adapted to comply with sector-specific regulations and rules, ensuring ethically and legally sustainable solutions.

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Automatic caller & call assistant system

UAB Taikomasis dirbtinis intelektas is a partner in the project “Automatic caller and call assistant system”

The project is funded by the European Regional Development Fund

Project lead: MB Eksporto atradimai

Budget: Eur 2045829, financing by EU funds up to Eur 1522584

Duration: June 27, 2024 — June 27, 2026

The project aims to develop innovative solutions using the latest AI technologies: (1) Automatic caller - we will develop an IoT-based system capable of making calls in three languages, analysing the context of the conversation, and responding in the most human-like way without the interruptions of thinking and other distractions of current technologies, as well as collecting data for further analysis. (2) Semi-automated call assistant-sufferer - this system will be designed as an AI-based assistant, providing real-time suggestions and reasoning to call handlers, to increase call conversion and accelerate staff learning. (3) Systems will be developed using emotional analysis and reinforcement learning to optimise speech patterns and increase conversion rates.

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5G innovation in transport: smart route planning & management

UAB Taikomasis dirbtinis intelektas is a partner in the project “5G innovation in transport: smart route planning and management”

The project is financed under the European Union economic recovery and resilience facility instrument NextGenerationEU

Project lead: UAB Kautra

Budget: Eur 2149999, financing by EU funds up to Eur 1364994

Duration: February, 2024 — December, 2025

The project's main objective is to develop a system for optimising intercity public transport based on 5G and Artificial Intelligence (AI) solutions. The project will be divided into 4 main axes: 1) Mobile camera-based event detection system; 2) Ticket scanning system; 3) Centralised discount card recognition system; 4) Dynamic pricing system. Dynamic pricing, passenger flow, and driver status monitoring solutions are currently available on the market, but their implementation is quite limited. The product to be developed will combine several sub-systems into one to provide more benefits to potential users and partners.

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Applying 5G technology to UAV base stations

UAB Taikomasis dirbtinis intelektas is a partner in the project “Applying 5G technology to UAV base stations”

The project is financed under the European Union economic recovery and resilience facility instrument NextGenerationEU

Project lead: UAB IT logika

Budget: Eur 5160157, financing by EU funds up to Eur 2897286

Duration: January, 2024 — December, 2025

The objective of the project is the demonstration, final testing, and evaluation of a UAV base station and a mini-class UAV and loading station systems based on 5G technology for monitoring urban transport infrastructure.

The project, together with partners, aims to develop innovative products, such as a UAV base station (DBOX M2 5G) and a mini-class UAV and charging station (DBOX Mini 5G) systems based on 5G technology for monitoring urban transport infrastructure.

This project aims to modify base stations with 5G technology to provide fully automatic monitoring of urban transport infrastructure and statistics using advanced photogrammetry and intelligent image recognition technologies. The project will create the world's first 5G technology-based drone base station system, which will be able to fully automatically change the drone's batteries when the drone's weight is below 1 kg. Currently, there are no such base station systems in the world.

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5G & AI-based public transport optimisation system

UAB Taikomasis dirbtinis intelektas has launched the project “5G and AI-based public transport optimisation system”

The project is financed under the European Union economic recovery and resilience facility instrument NextGenerationEU

Project partners: UAB Inntec, Vilnius City municipality, JUDU

Budget: Eur 1399925, financing by EU funds up to Eur 848445

Duration: February, 2024 — December, 2025

The project aims at the development, operation and user evaluation of an innovative transport optimisation and recommendation system based on 5G and AI solutions to promote public transport.

The first phase of the research will investigate the performance of 5G equipment under realistic conditions and define a list of suitable equipment characteristics. The second phase will aim to use the deployed equipment to collect the necessary data for training the models or to simulate realistic conditions in an attempt to obtain data as close as possible to realistic ones. Phases 3 to 6 will involve the development of initial mock-ups of the systems, using the data collected to train the IoT models, integrating the models into appropriate software interfaces and testing the mock-ups under realistic conditions. The first phase of experimental development will aim to describe the requirements of the prototype 5G IoT models, which will be used to develop the corresponding systems. The second phase will involve the development of prototype products to be tested and demonstrated under realistic conditions. The third phase will develop pilot versions of the systems based on the results of the testing, with final testing of the versions. The final phase of experimental development will involve the deployment of the pilot versions on customer systems and the evaluation of product performance and quality.

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