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. […]

On the 14th December, Hina Anwar defended her PhD thesis on “Towards Greener Software Engineering Using Software Analytics”, which evaluates the energy impact of various code smell refactorings and third-party libraries used in Android apps. Based on the results, two tools, ARENA and REHAB, were developed to help developers and researchers improve the energy efficiency of […]

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 […]

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 […]

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 […]

Estonia does not have many natural minerals or a significant population like many wealthy countries, but it has the most unicorns per capita globally. As most unicorns use technology to offer solutions for solving problems, we need more IT practitioners who can use computation power to solve various algorithmic issues.  “Thinking computationally is not anymore […]

Tartu Ülikooli arvutiteaduse instituudi keeletehnoloogia rühmas valmis bakalaureusetöö “Soome-ugri väikeste keelte neuromasintõlke edendamine” raames vabalt kasutatav mitmekeelne masintõlkesüsteem väiksematele soome-ugri keeltele nagu eesti, soome, võru, põhjasaami ja lõunasaami. Töö autor on Maali Tars ja teda juhendas Andre Tättar. Lõputöö põhjal avaldati teaduslik artikkel äsja toimunud NoDaLiDa keeletehnoloogia konverentsil pealkirja all “Extremely low-resource machine translation for […]

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 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 […]

21-23 January Estonian partner of the InnoCAPE project, the University of Tartu Institute of Computer Science, kicked-off the series of InnoCAPE hackathons. Preparation of the event took 5 months and 4 strong and motivated partners –  University of Tartu Institute of Computer Science, an institute that is recognized as number 176-200 by the prestigious Times […]