Nov 7. 2024

SciTea workshops

Our team members will participate in a workshop series at the University of Žilina called SciTea. The event combines talks with an open discussion over a cup of tea, where participants can talk to the speakers about anything and everything, including their respective research topics, the broader trends in AI, machine learning, and LLMs, or even some useful career tips – all in a pleasant social setting.

The organizers believe that connecting students with leading young researchers from Slovakia’s top research groups is a key to sparking intellectual curiosity and inspiring the next generation of AI enthusiasts.  

Our researchers and PhD students will be presenting on two main days, each with a unique focus. Through these workshops, students will have the opportunity to interact directly with peers who are researching interesting topics.

15 November 2024 – Computer Vision

Explore the world of computer vision with insights from our experts. Here’s a look at the topics they’ll cover: 

  • Alexander Brecko: Machine Learning for Edge Computing 

Alexander will explore the applications of machine learning in edge computing environments and its transformative potential.

  • Jaroslav Kopčan: Explainability of Machine Learning Models

Jaroslav will discuss the importance of explainability in machine learning and present approaches for understanding complex model decisions.

  • Michal Gregor: Why There Is Never Enough Data – Modern Computer Vision

Michal will address the data requirements of computer vision and share the latest advances in the field. 

For more details on this event, please visit this website.

22 November 2024 – Large Language Models

The latest advances in LLMs and multimodal AI are a big topic these days. Thanks to these sessions, visitors can learn more about this area. Our PhD students and researchers from the NLP team will participate in this event. 

  • Ivana Beňová: Multimodality and Vision-Language Architectures

Ivana will give a talk on modern vision-language architectures and how to probe for what they do and do not understand.

  • Ivan Vykopal: LLMs and Efficient Fine-Tuning 

Ivan is an expert on Large language models and how to efficiently fine-tune them – in general and in multilingual contexts.

  • Michal Gregor: Introduction to Large Language Models 

Michal will give a brief introduction to large language models, how they work, the strengths and limitations of the state of the art.

If you are interested in this topic, find details about the program here.