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 […]

The 25th International Conference on Product-Focused Software Process Improvement (PROFES) took place in Tartu from December 2–4, 2024. The conference brought more than 50 internationally renowned researchers and industry practitioners to Tartu, for interesting talks and discussions. Most participants came from Europe, mainly from Austria, Finland, Germany, Italy, Spain, and Sweden, but there were also participants from […]

Data privacy has become trending, and nowadays, people are talking more and more about it. With process mining, privacy becomes more relevant. Because process mining makes it easier to expose the actual business reality. With automatic process discovery, we can reverse engineer the activities that have been performed within the organization and the hand-offs between […]

Nowadays, a vast majority of business processes involve many tedious and repetitive tasks, for example transferring data across multiple systems or transforming data from one format to another. These tasks are time-consuming, error-prone, and by themselves do not bring much value to the underlying processes. Their automation can bring many benefits such as error-rate reduction, […]

Modern organizations must constantly adjust their business processes in order to adapt to internal and external changes, such as new competitors, new regulations, customer expectations, or strategic objectives. For example, due to a pandemic, a retailer might experience a 50% increase in their number of online orders; however, during the same time, their volume of […]

Intervjueeris Raimond-Hendrik Tunnel Meie eelmine mängujämmide lugu andis ülevaate Tartu Ülikooli mängujämmidest ning kirjeldas nende käigus loodud märkimisväärseid mänge. Seekord kõneleme samal teemal arvutiteaduse instituudi hajussüsteemide nooremlektori Jürmo Mehisega. Jürmo on osalenud mitmetel jämmidel ning olnud paljude mängujämmide õhtujuht. Vestlesime tema huvidest, teest mängundusse ning mängujämmide ja Eesti mänguarenduse tulevikust. Tean, et sa tegeled päris […]

On December 21, Madis Vasser defended his PhD thesis „Testing a Computational Theory of Brain Functioning with Virtual Reality“. In his thesis, he investigated the concept of active inference (AI) using virtual reality (VR) devices. During the work they developed VR software, conducted experiments on human study participants and compiled a set of guidelines for […]

We are happy to share the great news that the paper “Designing Corporate Hackathons With a Purpose: The Future of Software Development” co-authored by our Associate Professor Alexander Nolte with colleagues from Carnegie Mellon University, Github and Microsoft was named as the Runner-up for the 2019 Best Paper Award from IEEE Software by the IEEE […]

On September 25, Orlenys López Pintado defended his PhD thesis „Collaborative Business Process Execution on the Blockchain: The Caterpillar System“. In his thesis, Orlenys addressed the problem of automating the execution of collaborative business processes on top of blockchain technology in a way that takes advantage of the trust-enhancing capabilities of this technology while offering […]

On March 23, Adriano Augusto defended his PhD thesis „Accurate and efficient discovery of process models from event logs„ in which he provided an overview of the available algorithms to perform automated process discovery. They identified deficiencies in existing algorithms, and proposed a new algorithm, called Split Miner, which is faster and consistently discovers more […]

On the 17th of December, Huishi Yin defended her PhD on “Using a Kano-like Model to Facilitate Open Innovation in Requirements Engineering” which combines a well-known approach to enhance satisfaction of software users, the Kano model, with modern approaches to gather information from online data sources to facilitate open innovation in the context of software […]