Trustworthy and sustainable machine learning also in focus at Budapest’s largest AI event

Jointly organised by the HUN-REN Hungarian Research Network and Nanyang Technological University (NTU), Singapore, the AI Symposium 2025 will take place in Budapest from 8 to 10 May. Topics will include theoretical guarantees for the reliability of language models, interpretability techniques to enhance the transparency of AI decisions, and methods for improving resilience to adversarial attacks.

In the area of sustainability, experts will present algorithmic developments aimed at reducing the energy consumption of AI models. By integrating principles from information theory, researchers will introduce AI systems that are not only more interpretable and reliable, but also significantly more energy-efficient.

In this section, leading scientists will present the latest approaches in modern machine learning that aim to balance accuracy, efficiency and ethical considerations.

The keynote speakers for the session will be renowned international researchers:

Professor Luke Ong is a Distinguished University Professor at Nanyang Technological University (NTU), Singapore. His research spans the semantics of computation, programming languages, verification, logic and algorithms, as well as algorithmic game theory.

Professor Tao Dacheng of Nanyang Technological University (NTU), Singapore, focuses primarily on applying statistics and mathematics to artificial intelligence and data science. He has authored over 1,200 publications in prestigious journals and leading conference proceedings, covering areas such as artificial intelligence, computer vision, image processing and machine learning.

Professor Yurii Nesterov, Research Professor at Corvinus University of Budapest, is an internationally recognised expert in convex optimisation, particularly in the development of efficient algorithms and numerical optimisation analysis.

Further details about the session and all speakers are available on the symposium’s website.