20. jaanuaril kaitses Heidi Taveter oma doktoritööd „Using programming-process data of introductory programming courses: finding solver types, giving feedback, and detecting plagiarism“ („Programmeerimisprotsessi andmete kasutamine sissejuhatavatel programmeerimiskursustel: lahendajatüüpide leidmine, tagasiside andmine ja plagiaadi tuvastamine“). Sel puhul uuris arvutiteaduse instituudi juhataja professor Jaak Vilo intervjuus, kuidas on kulgenud Heidi teekond teadusmaailmas. Kui peaksid oma doktoriteed ühe […]

Lecturer of Applied AI Armando Vieira shares his thoughts on Medium, an online publishing platform. The dominant discourse on AI alignment rests on a quiet but catastrophic assumption: that morality can be imposed on systems that do not experience anything. The debate unfolds as if values were transferable objects — encoded, optimized, constrained — rather than lived […]

The dominant paradigm in modern AI rests on a deceptively simple premise: intelligence emerges from minimizing prediction error across vast datasets. We train neural networks to be accurate, to match patterns, to reduce loss functions. Yet this approach, for all its empirical success, may be fundamentally misaligned with the nature of intelligence itself. Here is […]

Kaur Alasoo, Associate Professor of Bioinformatics at the Institute of Computer Science, University of Tartu, has combined computer science and molecular biology in his research to find new ways of predicting the effects of genetic variants and to better understand rare diseases. He was interviewed by Professor Jaak Vilo, Head of the Chair of Data […]

Djeane Debora Onthoni has joined the Health Data and AI research group at the University of Tartu’s Institute of Computer Science, bringing international expertise in applying AI to health data analysis and precision medicine. He was interviewed by professor Jaak Vilo, Head of the Chair of Data Science. You recently came to Estonia to the […]

E-õppe algusajaks Tartu Ülikoolis võib pidada aastat 1998, kui saadi Avatud Eesti Fondi  rahastus projektile “Avatud Ülikool kaasaegseks kaugkoolituskeskuseks”. 2023. aasta maikuus möödus sellest ajast täpselt 25 aastat. Arvutiteaduse instituudi pikaajaline vanemmetoodik Tiina Lasn, kes seda projekti juhtis, jagab järgnevalt oma mõtteid ja meenutusi. Kuidas siis täpsemalt meil e-õppega alustati?  Avatud Eesti Fondi projekti “Avatud […]

Imagine a room with millions of mysterious switches and hundreds of ceiling lamps. You don’t know which switch does what, but you’re curious. As you experiment with different combinations, the lamps’ brightness varies. This scene is a simple metaphor for the complex challenge of genomics research – understanding how different genetic ‘switches’ affect our health. […]

Jaak Vilo, Kallol Roy Algorithmics (MTAT.03.238) is an obligatory course in the Computer Science MSc curriculum. As such it is intended to remind everyone of the foundations of algorithms and data structures but also to go beyond and teach some more advanced concepts (like succinct data structures, for example).  The course aims at linking different […]

Tartu Ülikooli arvutiteaduse instituudi toetusel toimus 8.-19. novembril informaatikaviktoriin Kobras, millel osales peaaegu 4000 Eesti õpilast rohkem kui 110 koolist. Parimaid ootab uuel aastal ees finaalvõistlus. Viktoriin toimus kolmes vanuserühmas: benjaminid (6.–8. klass), juuniorid (9.–10. klass) ja seeniorid (11.–12. klass). Ühe koolitunni (45 minutit) jooksul vastasid õpilased 15 küsimusele, mille teemaderingi mahuvad küsimused arvutite riist- […]

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 […]

The article was initially published in Ekspress by Greete Lehepuu. The app works like Google Maps: given genetic coordinates associated with a disease it finds which gene is likely to cause the disease and in which tissue. Imagine that the only way to find your way in an unknown city is to buy the map […]

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 […]