Hungarian Excellence in Research and Innovation

Discover the dynamic intersection of science, innovation, and immersive technology through the presentation of Hungary’s HUN-REN TKI and a cutting-edge AI-based Mixed Reality platform.

1. Introduction of HUN-REN TKI
The HUN-REN Centre for Research Management and Science Communication (TKI) supports more than 100 research groups spanning every scientific discipline — from humanities to life sciences and engineering. It serves as a virtual research institute with a mission to enable world-class research by providing strong administrative, legal, and innovation support. Thanks to its coordinated work, Hungarian researchers produce numerous high-impact publications and patents every year, contributing to Hungary’s global scientific reputation.
Speaker: Dr. Attila Nyikos, Director of HUN-REN TKI

2. Spatio-temporal AI services by cloud & AI-native programming: Enablers of low-latency immersive interaction and cooperative driver-assistance
Live demonstration of a novel edge cloud-based Mixed Reality platform supporting low-latency immersive interaction. Users can try a multi-player car soccer game, where small real remote-controlled cars, detected/tracked in real-time, play with a virtual ball, achieving true extended reality in which virtual and real elements are presented to the user via Hololens 2 devices and interact with each other.

Main technical features/messages:
– Spatio-temporal AI services by a distributed SW stack: real time environment detection and tracking
– Remote 3D simulation
– Low-latency interaction between virtual and physical objects
– Remote rendering framework
– Multi-user operation

Speakers:
– Balázs Sonkoly, leader of the MTA-BME Network Softwarization Research Group, the co-leader of TKI’s HUN-REN-BME Cloud Applications Research Group and an associate professor at Budapest University of Technology and Economics (BME)
– Bálint György Nagy, research fellow at the High Speed Networks Laboratory of the Department of Telecommunications and Artificial Intelligence, member of the MTA-BME Network Softwarization and HUN-REN-BME Cloud Applications Research Groups
– János Dóka, research fellow at the High Speed Networks Laboratory of the Department of Telecommunications and Artificial Intelligence, member of the MTA-BME Network Softwarization and HUN-REN-BME Cloud Applications Research Groups
– Péter Szögi, junior research fellow at the HUN-REN-BME Cloud Applications Research Group