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 […]

Protests and conflicts have become influential forces for bringing about change and shaping the political and social landscapes not only on a local demographic level but also on a global scale. In the modern Internet and online social media era, protests have increasingly utilized digital platforms to facilitate discussions, coordinate actions, and spread respective agendas. […]

With the development of Online Social Media (OSM) platforms like Twitter and Facebook, the way individuals connect and exchange information has changed dramatically. These platforms have, however, also led to the problem of misinformation, which can quickly spread on a global scale, and once it has been disseminated, it can be hard to stop. It […]

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 […]

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 […]

Machine Translation is a quickly growing field of Natural Language Processing (NLP) that automatically translates a text from one language to another without human involvement.  In recent years, the use of machine translation systems has increased dramatically. Today machine translation is used not only by translation agencies but also by people using online machine translation […]

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 […]

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 […]

On the 21st of February, Faiz Ali Shah defended his PhD thesis on “Extracting information from app reviews to facilitate software development activities” which evaluates the existing Text Mining techniques for extracting developer-relevant information from app reviews at different levels of granularity, and then combined these techniques to develop a tool REVSUM for competitive analysis. […]

On the 6th of June 2019, the paper “D2IA: Stream Analytics on User-Defined Event Intervals” won the best paper award in the 31st International Conference on Advanced Information Systems Engineering (CAiSE’19), which was written by Ahmed Awad, Riccardo Tommasini, Mahmoud Kamel, Emanuele Della Valle and Sherif Sakr. CAiSE is one of the oldest and top […]

Mozilla projekt Common Voice tegeleb kõneandmete korjamisega ühisloome teel. Erinevalt tekstiandmetest on kõneandmed palju harvemad ja kõneandmestikud palju väiksemad/kallimad. Teisest küljest sõltuvad nende kättesaadavusest ja suurusest kõnesünteesi ja kõnetuvastuse kvaliteet, eriti kui kasutada kaasaegseid süvaõppel põhinevaid lähenemisi. See on eriti oluline muu hulgas eesti keelele, mille puhul on kõneandmeid väga vähe. Hiljuti lisasime eesti keele […]

Author: Phuong Nguyen “High-performance computing (HPC) is the use of super computers and parallel processing techniques for solving complex computational problems. Nowadays, HPC plays an important role in the field of computational science, and are used for a wide range of computationally intensive tasks in various fields, including quantum mechanics, weather forecasting, climate research, oil […]