GLAILGFeb 24, 2025

Mesterséges Intelligencia Kutatások Magyarországon

arXiv:2503.05767v1
Originality Synthesis-oriented
AI Analysis

It provides an overview of Hungarian contributions to AI research, which is incremental as it summarizes existing work rather than presenting new findings.

This article surveys key achievements in Hungarian AI research, covering theoretical and practical developments before and after the rise of deep learning, with a focus on significant results from the early 2010s onward.

Artificial intelligence (AI) has undergone remarkable development since the mid-2000s, particularly in the fields of machine learning and deep learning, driven by the explosive growth of large databases and computational capacity. Hungarian researchers recognized the significance of AI early on, actively participating in international research and achieving significant results in both theoretical and practical domains. This article presents some key achievements in Hungarian AI research. It highlights the results from the period before the rise of deep learning (the early 2010s), then discusses major theoretical advancements in Hungary after 2010. Finally, it provides a brief overview of AI-related applied scientific achievements from 2010 onward.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes