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| title | chunk | source | category | tags | date_saved | instance |
|---|---|---|---|---|---|---|
| Aistis Raudys | 2/2 | https://en.wikipedia.org/wiki/Aistis_Raudys | reference | science, encyclopedia | 2026-05-05T16:46:39.422325+00:00 | kb-cron |
Raudys, A., et al. (2025). Exploring Generative Adversarial Networks: Comparative Analysis of Facial Image Synthesis. IEEE Access. Raudys, A., & Gaidukevičius, J. (2024). Forecasting Solar Energy Generation and Household Energy Usage. Energies. Raudys, A., & Goldstein, E. (2022). Forecasting Detrended Volatility Risk Using LSTM and XGBoost. Journal of Risk and Financial Management. Raudys, S., Raudys, A., & Pabarskaitė, Z. (2018). Dynamically Controlled Length of Training Data for Sustainable Portfolio Selection. His Google Scholar Publication profile includes all articles he has worked on.
== Conferences and Public Engagement == Raudys has shared his research at universities and conferences around the world, including places in Europe and Africa, talking about artificial intelligence, using algorithms to trade, and analyzing data. He's also written articles for national media outlets about artificial intelligence, discussing how well it works and how it should be regulated. His work is helping to shape the conversation about AI and its impact on our lives. By presenting his findings to international audiences, Raudys is contributing to a global discussion about the potential of artificial intelligence to transform industries and improve our daily lives. Raudys has given talks at big international events about artificial intelligence, like the AI Summit in Europe.He also spoke at a conference in Lithuania that focused on the Applications of Artificial Intelligence.This conference was the first of its kind in Lithuania and brought together people to share ideas about how to use artificial intelligence in real-life situations.
== External links == Interview with Aistis Raudys on AI
== References ==