Collaboration

AI research and development cooperation

Estonian Centre of Excellence in Artificial Intelligence (EXAI)

TalTech is a partner in the Estonian Centre of Excellence in Artificial Intelligence (EXAI) and leads four focus areas within it. The centre’s goal is to promote AI-related research and development by bringing together Estonia’s leading scientists and research groups.

TalTech contacts in EXAI:

Learn more about EXAI research directions and TalTech’s involvement.

 

Looking for a suitable collaboration partner at TalTech?

TalTech’s AI-related internal research and development cooperation is coordinated by the TalTech AI Focus Centre (AI FTK). The FTK serves as a contact point for partners, offering interdisciplinary collaboration and helping partners identify the most suitable researchers for cooperation. The centre’s value propositions are based on Estonia’s national AI strategy and adhere to the ethical and legal principles of creating and using AI.

If you are interested in collaboration, please contact: ai-ftk@taltech.ee

 

Collaboration with the public sector

Collaboration with the university helps shape evidence-based policies that support social cohesion and sustainable development. In addition, TalTech provides a platform where researchers, students, and the public sector can jointly test solutions that improve people’s quality of life and increase the accessibility of various public services.

Collaboration with the private sector

TalTech can collaborate with the private sector by jointly developing new technological solutions in the fields of industry, energy, and digital technology. The university’s research and development expertise enables the creation of innovative prototypes, enhances the competitiveness of companies, and accelerates the launch of new products. In addition, TalTech offers collaboration opportunities through students and researchers, bringing fresh ideas and support into companies’ innovation processes.

Projects and initiatives

Artificial intelligence in cybersecurity

The project explores the applications of artificial intelligence and machine learning in the field of cybersecurity. The scope includes both applications that enhance cybersecurity (e.g. using machine learning methods to detect malicious network traffic or malware) and applications that pose risks to cybersecurity (e.g. the use of deepfake technology in scam calls and chatbots impersonating humans on social media). Specifically, activities are planned in three application areas: network security, cryptography, and protection against communication attacks.

The project will carry out activities in three fields: network security, cryptography, and protection against communication attacks. The initiative is part of the Estonian Research Council’s TemTA programme Digital Solutions in Every Field of Life.

Project leader: Rain Ottis

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IT enthusiast’s experiments

A chatbot that helps prospective students find a suitable IT bachelor’s programme at TalTech before enrolling. Pilot 1: ithuviarajata.pragmatiqai.com. For teachers, we have also created a supporting slide programme to use when applying the tool in class, for example during a lesson. Guidelines are provided for teachers/group facilitators.

Integration of generative language models into higher education teaching

Janika Leoste integrates generative language models and TEMI V3 robot assistants into higher education teaching to guide learners in the proper use of AI tools, enable more personalised and automated assessment, and reduce lecturers’ workload.

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