Artificial Intelligence National Laboratory Program

2022.03.01 - 2025.06.30
Rényi: HUF

The National Laboratory for Artificial Intelligence (MILAB) aims to strengthen Hungary’s role in the field of AI. The European Union is making significant efforts to catch up with the development capabilities of the USA and China. The domestic research of artificial intelligence in Hungary is currently characterized by fragmentation, competition, and isolation. There is no unified AI umbrella over the large-scale, application-specific programs. Several universities and research institutions have good relations with business applicators, but societal innovation is also necessary for the acceptance of technological innovation.

The domestic research is built on a few currently cultivated topics (e.g., healthcare image processing, transportation, manufacturing, logistics) and on the foundation of our internationally outstanding mathematicians and physicists (graph theory, network research).

The goals and tasks of MILAB are:

  • Financing prominent basic and applied topics (publications, patents, emerging new industrial connections, technological transfer)
  • Establishing networked operations, building on synergies among various stakeholders, representing competencies in market and international projects
  • Connecting to international projects, forming a linked research ecosystem
  • Multiplication of resources, supporting high-risk or high social utility research
  • Coordination towards market and application needs, organizing demos and conferences

Beneficiary Name: Computer and Automation Research Institute

Consortium Partners:

  • Alfréd Rényi Institute of Mathematics
  • Budapest University of Technology and Economics
  • Eötvös Loránd University
  • University of Szeged
  • Semmelweis University
  • Experimental Medicine Research Institute
  • Centre for Social Sciences
  • Széchenyi István University
  • National Security Service
  • KINCSINFO Treasury IT Nonprofit Ltd.

Project implementation period: March 1, 2022 - June 30, 2025.

Project Lead: Balázs Szegedy.