by Anja Glusic | Dec 2, 2024 | AI@JSI Seminar, AI@JSI Seminar Upcoming
Automated machine learning has been successful in supporting data scientists in selecting appropriate machine learning architectures, as well as optimizing hyperparameters. By doing so, data scientists can focus their attention on more important tasks. Partially...
by Anja Glusic | Nov 19, 2024 | AI@JSI Seminar
Metaheuristics, such as evolutionary algorithms, ant colony optimization, and particle swarm optimization, are among the most successful techniques for solving complex optimization problems. Historically, the design of metaheuristic algorithms has been a manual...
by Anja Glusic | Nov 8, 2024 | AI@JSI Seminar
Why do patterns emerge in nature, and what do they reveal about underlying processes? From the stripes on a zebra to waves in the ocean, patterns offer insight into complex systems. In our study, we explore how single-celled amoebae generate dynamic patterns of a...
by Anja Glusic | Oct 18, 2024 | AI@JSI Seminar
Machine learning (ML) models depend on the data on which they are trained. Consequently, flaws in datasets can lead to significant vulnerabilities in ML models. ML practitioners frequently tend to focus on “correcting” the model without addressing the...
by Anja Glusic | Sep 26, 2024 | AI@JSI Seminar
Why do societies collapse? Some famous examples include Easter Island, the Maya, the Roman Empire, and the Chinese dynasties. The speaker has developed mathematical models for these historical cases and the talk will focus on the general lessons that can be learned...
by Anja Glusic | Sep 5, 2024 | News
At the end of July, Sebastian Mežnar, Boshko Koloski, and Blaž Škrlj participated in the “ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain” at the ICML 2024 conference, where they secured third place in the Best Feature-Based Lifting...
by Anja Glusic | Jun 26, 2024 | AI@JSI Seminar
Within the general excitement about artificial intelligence, there has been special interest in the technology’s application to discovery of scientific knowledge. Like AI itself, this subfield has a long history and many successes, but also outstanding...
by Anja Glusic | Jun 3, 2024 | News
Prof. dr. Marko Debeljak and M.Sc. Tanja Dergan met with the mayor of municipality of Laško, Marko Šantej. Main topic of the meeting was sustainable public procurement. As part of the Cocoreado project, an analysis of the public procurement of Primož Trubar Laško...
by Anja Glusic | May 30, 2024 | Events
The RECORDINGS from the Workshop Machine Learning Modalities for Materials Science are now publicly available on the official workshop website.
by Anja Glusic | May 20, 2024 | AI@JSI Seminar
Inferential methods attempt to understand data and make predictions about the word by explicitly formulating generative models and fitting them. By this process, these methods are able to provide insight on mechanisms, and optimally deal with uncertainty and separate...
