On 23 December, Veronika Plotnikova defended her PhD thesis on “FIN-DM: A Data Mining Process for the Financial Services”, which investigated standard data mining frameworks, their usage across different industries and associated gaps. Based on the results, the new process model FIN-DM was developed to support practitioners to conduct data mining in the financial services. […]

We are currently in the process of significant changes in the communications paradigms. Among others, one of the changes is moving to cloud-based services instead of using local applications (Office365, Youtube, Spotify, etc.). We can argue about the motivation of this trend, but this allows us to provide the customers with the most up-to-date solutions […]

Researchers from the University of Tartu’s Institute of Computer Science are taking part in the EU Horizon project SPATIAL (Security and Privacy Accountable Technology Innovations, Algorithms and Machine Learning), which aims to develop resilient accountable metrics, privacy-preserving methods, verification tools and system solutions that will serve as critical building blocks for trustworthy AI in ICT […]

The article was translated and published in English by the University of Tartu. It was initially published in Estonian in Eesti Ekspress by Greete Lehepuu. The cover of the September issue of Communications of ACM, the most prestigious journal in computer science, featured an article led by University of Tartu researchers. The article proposes steps to tackle one of […]

By Dmytro Fishman, Junior Lecturer of Data Science The human organism is a profoundly complex mechanism, consisting of trillions of cells, each powered by about 42 million protein molecules that interact with one another in a gazillion of ways. Recently, scientists developed technologies (i.e. high-throughput screening) that enable us to listen and record data from […]

Lühidalt: ITTM kestab nüüd kaks semestrist (ehk ühe aasta) Neli tudengit on hetkel praktikal Pipedrive-s, üks Eesti Energias, üks Reach-U-s ITTM-i tootmissektorile suunatud pilootprogramm jätkub koostöös Columbus Eesti ja Barrusega Osalevate tudengite jaoks on endiselt suurim motivaator saada praktilist kogemust ettevõtetes Järgmise aasta programmi saab praktikapositsioone esitama hakata talvel Sul pole õrna aimu, mis on […]

In short: IMP now lasts two semesters (i.e., one year) Four students currently doing their internship at Pipedrive, one at Eesti Energia, one at Reach-U IMP internship pilot for manufacturing companies still on-going in cooperation with Columbus Estonia and Barrus Getting hands-on experience at companies is still the main motivator for enrolled students Submission of […]

By Anastasiia Shevchenko The competitive advantage of a manufacturing company consists of the relation between the delivery time, price, quality and flexibility. The customer’s expectation of the best relation between the above factors triggers the company’s need to constantly monitor its processes, making them more efficient. When identifying bottlenecks, it is important to maintain objectivity […]

Our faculty member, Stefania Tomasiello, lecturer of Artificial Intelligence, recently joined IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) as associate editor. IEEE TNNLS publishes articles that deal with the theory, design, and applications of neural networks and related learning systems. It is a premier journal in the field of Neural Networks and […]

By Anastasiia Shevchenko The digitalisation of the manufacturing industry is a challenge that lots of countries are facing. There have been created different financial instruments[1], training programmes[2], software solutions[3], etc. developed for manufacturing companies by the government, public institutions, and other private companies in order to raise awareness and support digital transformation. However, it is […]

By Aleksander Parelo On January 28, the Industrial master’s students gathered virtually at Overall, where I introduced the company itself and the projects I worked on for the last year. Unfortunately, due to the virtual meeting, I could not give a tour of the Overall office, which most of the Industrial master’s students, who have […]

By Dima Fishman Machine learning is a study of computer algorithms capable of automatically learning ways to solve difficult problems from the existing data without being explicitly programmed. Over time machine learning methods have substantially contributed to human progress across many areas. Machine learning has been taught for many years in the Institute of Computer […]