Mohamed Abdelrahman shares his journey as a PhD student in the Data Systems Group at the University of Tartu, where he focuses on Automated Machine Learning (AutoML) and aims to make AI more trustworthy and accessible. His story was introduced by Professor Jaak Vilo, Head of the Institute of Computer Science. Describe your thoughts when […]

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 […]

Sulev Reisberg töötab Tartu Ülikooli arvutiteaduse instituudis selle nimel, et selgitada välja, milline on Eesti rahva tervis ja kuidas seda tõhusamalt ravida. Arvutid ja programmeerimine huvitasid mind juba lapsest saati. Lõin arvutimänge ja veebilehti ning seetõttu tundus loomulik samm minna ülikooli IT-d õppima. Pärast Tallinna Tehnikaülikoolis omandatud magistrikraadi olin aga kindel, et teadus pole minu […]

Maarja tegutseb arvutiteaduse instituudis terviseinformaatika nooremteadurina ja loob oma teadustöös võimalusi terviseandmete visualiseerimiseks ja andmestike võrdlemiseks visuaalsete vahenditega. Teda usutles andmeteaduse õppetooli juhataja professor Jaak Vilo. (Foto: Marja-Liisa Plats) Oled hiljuti saanud palju tähelepanu oma teadustulemuste populariseerimisel. Räägi oma doktoritööst veidi lähemalt. Töötan terviseinformaatika uurimisgrupis, kus meie eesmärk on koostöös meditsiiniekspertidega parandada Eesti inimeste tervist […]

Introduction: Privacy-preserving computation is a crucial discipline that protects the privacy of confidential data while facilitating secure analysis. In graph problems, secure multiparty computation (SMC) presents a promising approach to performing these functionalities. This article delves into the notable advancements in privacy-preserving parallel algorithms recently introduced in a Ph.D. thesis. By integrating graph algorithms with […]

Kea Kohv, Master Student in Data Science An interactive tool developed by Data Science Master’s student Kea Kohv helps find highly rated and popular data science books sold on Amazon. A query for data science books on Amazon returns thousands of results. That is a lot to skim through. In addition, if searching for highly […]

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 […]

We are living in a world in which data is not just getting bigger; it is also getting more and more interconnected. Large graph analytics is a useful tool for gaining insights from large volumes of interconnected data and has applications in various fields such as social media, biology, and telecommunications. An example of the […]

On the 13th of December Lidia Feklistova defended her PhD thesis on „Learners of an introductory programming MOOC: background variables, engagement patterns and performance” We constantly improve our knowledge and skills to be successful. Participation in massive open online courses (MOOCs) supports ongoing professional development and lifelong learning. Keeping in mind the huge number of participants in […]

To explain the importance of recognising and mitigating the impact of phishing attacks, our institute organised a CyberPhish seminar on 13 October, which was attended by more than 35 participants, including educators and students, stakeholders of private and public sectors, and representatives from businesses, police and government. The aim of the CyberPhish “Safeguarding against Phishing […]

Kaur Alasoo on Tartu Ülikooli arvutiteaduse instituudi bioinformaatika lektor. Tema artikkel ilmus Õhtulehes 22. mail 2022. Tegu on eesti noorte teaduste akadeemia algatatud artiklisarjaga “ElemENTAarne”, kus noorteadlased kirjutavad põnevatest teadustulemustest ja näitavad, kuidas teadus meie elu rikastab. Miks on nii, et teadlased suutsid vähem kui aastaga välja arendada mitu konkureerivat koroonaviiruse vastast vaktsiini, aga meil […]