by Anja Glusic | Jan 14, 2025 | AI@JSI Seminar Upcoming
Panoptic segmentation provides a comprehensive understanding of visual scenes by assigning each pixel a semantic class label and, for objects, an instance ID. While highly effective, traditional methods rely heavily on large-scale annotated datasets, posing...
by Anja Glusic | Dec 2, 2024 | AI@JSI Seminar
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...
