Upcoming and past events organized by the Artificial Intelligence Research Institute at UTCN.
A workshop bringing together researchers from Google DeepMind, MILA, the University of Zaragoza, Grenoble INP and UTCN to discuss current research in machine learning, autonomous robotics, motion planning and AI for energy systems. The event is organised as an activity of the Commission on Artificial Intelligence and Autonomous Systems of the Romanian Academy.
Part of the AIRi Invited Lecture Series, bringing researchers and technology professionals into dialogue with the AIRi@UTCN research community.
This lecture is part of the AIRi@UTCN Invited Lectures series, bringing leading international researchers and scholars and practitioners to the AIRi@UTCN community.
This lecture is part of the AIRi@UTCN Invited Lectures series, bringing leading international researchers and scholars and practitioners to the AIRi@UTCN community.
A CTF competition organized in relation to the closing event of Cybersecurity Seminars @ UTCN project. Open to all students in UTCN.
Solar physics offers a uniquely rich and multi-scale environment for data science, combining high-resolution imaging, time-series analysis, and complex physical modelling. Modern missions, such as Solar Dynamics Observatory, continuously produce terabytes of data per day, including multi-wavelength images, Doppler velocity fields, and magnetic maps of the Sun. From a data science perspective, solar datasets are inherently high-dimensional, spatio-temporal, and physics-constrained, making them ideal for machine learning applications such as convolutional neural networks for image recognition, recurrent or transformer models for time-series forecasting, and unsupervised methods for pattern discovery. At the same time, they challenge purely data-driven approaches, as physical interpretability remains essential—for example, linking learned features to magnetic structures, energy transport, or wave dynamics.
