HPC North Macedonia Launches Exciting New Series of Events, Workshops, and Podcasts

HPC North Macedonia Launches Exciting New Series of Events, Workshops, and Podcasts

Coming soon text on abstract sunrise dark background with motion effect

HPC North Macedonia, in collaboration with its partners, is excited to announce a brand-new series of events, workshops, and podcasts dedicated to exploring the latest advancements in technology and artificial intelligence. This initiative aims to bring together experts, researchers, and enthusiasts to share knowledge and foster innovation.

The first event in this series will be a webinar on April 2, 2025, at 18:00. It will take place at FINKI (Faculty of Computer Science and Engineering) and will also be available online for remote participants. The webinar will dive into two fascinating topics:

  • Advancing Time-Series Forecasting & Exploring the Potential of Generative AI: Time-series forecasting is fundamental to various industries, enabling informed decision-making in finance, healthcare, and supply chain management. This presentation provides a comprehensive overview of both traditional and modern approaches to time-series analysis. We will begin with classical methods such as ARIMA and Exponential Smoothing, discussing their strengths and limitations. Next, we will explore advancements in machine learning and deep learning approaches, including, transformers, and probabilistic forecasting techniques. Finally, we will examine the emerging role of generative AI in forecasting, uncertainty modelling, and foundation models for time-series prediction.
  • Causal AI: In this presentation, we demonstrate how machine learning and AI can power causal inference. We explain that while traditional predictive models are excellent at forecasting outcomes, they may capture relationships that do not hold under intervention. We illustrate the difference between correlation and causation with clear examples and discuss classical methods—such as re-weighting, stratification, and matching—to address issues like confounding and selection bias. Finally, we introduce modern tools like the DoWhy framework, which streamline the process of modeling causal relationships and validating causal estimates.

This is just the beginning — more events, workshops, and podcasts will be announced in the near future. Don’t miss out on this opportunity to connect with the AI and tech community, learn from experts, and engage in thought-provoking discussions.

Stay tuned for further details and registration information. We look forward to welcoming you!