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Since a decade ago, analysts have predicted exponential progress in Artificial Intelligence. Although catastrophes to human jobs are still few and far in between, many other predictions are now reality. We are seeing more AI-enabled devices and services that are faster, smarter and more accurate. When we ask Google a question, it answers. Browse a pair of jeans on Levi’s website, targeted ads follow you to Instagram. From medicines to lattes, they can now be made by robot chemists and baristas.

As tech’s biggest companies and rising startups race to be the go-to company for AI, they are seeking for — and lavishly investing in — talent to realise their vision. Kaunas University of Technology (KTU) is no stranger to this. Innovation is at the core of this Lithuanian institution where its AI focus aims to provide solutions tailored to the market needs, with major investments made to provide the programmes, people and facilities to this end.

In the pursuit of combating crime through technology, KTU’s researcher, Irina Matijošaitienė, is developing AI that can predict where crime will occur in urban areas. By integrating several algorithms to assess 51 characteristics of the environment, Matijošaitienė and her team are trying to uncover “blind spots.” If there are hiding places, the AI knows. How far these spaces are from the street, it knows too.

“After training the AI how to analyse the data using crime prevention through environmental design (CPTED), we will be able to provide accurate prediction of the areas of increased criminal activity,” says Matijošaitienė, a researcher at KTU Faculty of Civil Engineering and Architecture. “AI is fascinating, as it firstly uses algorithms for training a system, i.e. a computer to make decisions as if mimicking the human mind in the process of decision making.”

Kaunas University of Technology

Students are provided with the most advanced learning opportunities through KTU’s membership with ECIU University. Source: Kaunas University of Technology

Matijošaitienė’s story reflects the kind of AI research and education that takes place at KTU: innovative, practical and commercial. The university’s AI Centre aims to develop and integrate AI solutions for various problems in industry, medicine, and the public sector.

“Cooperating with business partners, we will seek to contribute to the development of the Lithuanian AI ecosystem,” says Dr. Agnė Paulauskaitė-Tarasevičienė, Head of KTU AI Centre and Associate Professor at the Faculty of Informatics. “There will also be a strong focus on stimulating young researchers’ — undergraduate and postgraduate students — interest in AI. We want to encourage more active involvement in problem solving and research.”

As the use of smart technologies both at home and at work continues to increase, “we aim for our KTU students not only to keep pace with the most relevant technological innovations of today but also to be the creators of these technologies and the innovation leaders,” says Jonas Čeponis, Vice-Rector for Studies at KTU. “We encourage our students not only to wait for changes but also to participate in changes themselves.” The university established a 10,000 euros prize fund for students whose final projects focus on AI.

That’s not all. Students are provided with the most advanced learning opportunities through KTU’s partnership with ECIU University — a leading international network of research-intensive universities, with collective emphasis on innovation, creativity and societal impact.

Through the ECIU University challenges, KTU students gain first-hand experience on how to create impact with AI. Challenges are real and revolve around the United Nations Sustainable Development Goal no. 11, i.e. making cities and human settlements inclusive, safe, resilient and sustainable.

Not only do students gain problem-solving and teamwork skills, they get to travel and work in multidisciplinary and international teams too. Winners receive a letter of recommendation from the challenge provider and gain a certain amount of ECTS credits, among other perks.

Kaunas University of Technology

KTU offers AI programmes at the undergraduate and postgraduate levels. Source: Kaunas University of Technology

Discovery, problem-solving, critical thinking and creativity are features shared by great research and inspiring learning environments. At KTU, you can expect nothing less. KTU offers AI-focused programmes that encompass all the above and more.

Bachelor of Computing in Artificial Intelligence

This programme prepares highly competent information technology specialists, who can develop intelligent software systems applying machine learning, image recognition, data processing and data analysis algorithms.

Bachelor of Computing in Informatics

This four-year programme focuses on the technologies of programming, the internet and three-dimensional graphics. You will study cloud computing, as well as contemporary fixed, mobile or wireless access networks, mastering the skills of managing real-world information models and processes of computerised application areas, as well as gaining the competences for the independent establishment of online IT and multimedia services.

Bachelor in Business Digitalisation Management

This programme is designed for aspiring managers with the know-how to fuse business and the latest technologies such as virtual reality, artificial intelligence, robotics, the Internet of Things, or big data.

BEng in Intelligent Robotics Systems

Learn how to develop, design, install and service robots and their systems, for use both in households and industries, such as aerospace or military. You will learn to program and to train robots, to analyse electromechanical processes, to control complex equipment, to use computer vision or the Internet of Things.

Master in Artificial Intelligence in Computer Science

Get a headstart into the highly dynamic field of AI and informatics with this two-year programme that covers cloud computing, modern AI methods and techniques, data analysis, project management, virtual reality and 3D modelling. You will learn how these techniques can be applied to the development of the final IT product and can specialise in Image Synthesis and Analysis or Distributed and Mobile Computing from your first semester.

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