Exhibition for Local, Regional and European Technology and Innovation
14-15 February 2023
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Hungarian Railway Museum, Tatai út 95, H-1142 Budapest
About us
AI & Aut Expo - we provide an exhibition space for local, regional and European industry, technology, research and innovation in AI and Autonomous Systems. A two-day event with plenary presentations by senior policy makers, industry and research leaders from Hungary and Europe.
Topics
AI foundations | Autonomous systems | Industry 4.0 | Mobility and Aviation | Smart Agriculture | Data | Gaia-X | Natural Language Processing
About the organizers
Artificial Intelligence National Laboratory
The Artificial Intelligence National Laboratory Hungary, coordinated by SZTAKI, is founded in 2020 as the coordinated national artificial intelligence umbrella for the collaboration of all major research centers, universities and large-scale national programs. We funnel business needs and international research relations by leveraging on the existing relationship of our partner institutions. We strengthen social innovation to embrace technological innovation.
Autonomous Systems National Laboratory
The Autonomous Systems National Laboratory Hungary, coordinated by SZTAKI, is founded in 2020 to provide innovative solutions for the mobility of road vehicles, aerial vehicles and robots, particularly in the context of complex systems, formations and applications that necessitate either autonomous or cooperative operation.
The Neumann Nonprofit Ltd.
The Neumann Nonprofit Ltd., a state-owned company supports and implements key projects initiated by the Hungarian Government to raise the digitalisation level of Hungary and enable Hungarian citizens and enterprises to profit from increased digital competences.
Programme
Day 1, Tuesday, February 14
Opening Session
9:00-10:00 – guest registrations & orientation, coffee
10:00-10:40 – opening remarks (Moderator: Dóra Lakatos, Péter Smejkál)
Senoir representatives of the Ministry for Culture and Innovation and Ministry for Economy Development
prof. Dr. László Palkovics president, Széchenyi University
László Monostori, director, Institute for Computer Science and Control
Roland Jakab, director AI Coalition Hungary, Ericsson regional director
Plenary Session – Hungarian National Laboratories
10:40 – 11:30 (Chair: László Monostori)
András Benczúr – scientific director, AI National Laboratory
Péter Gáspár – scientific director, Autonomous Systems National Laboratory
11:30-12:30 AI DEMO round tour
12:30-13:30 lunch break
13:30-15:00 Session 1A – Autonomous systems
(chair: Péter Gáspár)
Gary Cutts, Challenge Director, Future Flight, UK Research and Innovation
Michael Gadd, Head of the Office of Airworthiness, Blue Bear
Bálint Vanek, Autonomous Systems National Laboratory Hungary
Utilizing Learning and Prior Knowledge Jointly for Autonomous Systems Gellért Máttyus, Senior Expert on Machine Learning for Autonomous Driving, Continental Autonomous Mobility Hungary
Agile maneuvering and transportation with autonomous drones Péter Antal, Autonomous Systems National Laboratory Hungary
Daniel Rohács, Drone Coalition Hungary
13:30-15:00 Session 1B – Medical, Health
(chair: TBC)
Semmelweis University
Balázs Csáji, Institute for Computer Science and Control (SZTAKI)
Bence Bruncsics, University of Technology and Economy Budapest (BME)
Medical image analysis with machine learning - progress and challengesIstván Csabai, Eötvös University Budapest (ELTE)
University of Szeged
GE
15:00 – 15:30 Coffee break
15:30 – 17:00 Session 2A – Autonomous Systems in Industry (chair: József Váncza)
Sonya Coleman, Professor of Vision Systems, Made Smarter Innovation, NI
Dermott Kerr, Smart Manufacturing Data Hub, UKRI
Justin Quinn, Centre for Engineering and Renewable Energy (CERE), University of Ulster
Sherrie Rad, Innovation Lead, Made Smarter Innovation, Innovate UK UKRI
Botond Kádár, EPIC Innolabs
Autonomous robotics Gábor Erdős, Institute for Computer Science and Control (SZTAKI)
István Németh, University of Technology and Economy Budapest (BME) TBC
15:30 – 17:00 Session 2B – Natural Language Processing (chair: Richárd Farkas)
Thomas Searle, researcher, Health Data Research UK
Christopher Weavill, Co-founder & CEO, Hertizan
Martin Goodson, CEO, Evolution AI and Chair, Data Section, Royal Statistical Society
Gábor Berend, University of Szeged
ChatGPT vs. OTP GPT Lotár Schin, OTP Bank, AI CoE Lead
Géza Németh, Neural speech technologies, University of Technology and Economy Budapest (BME)
Telekom Digital Business Assistant and the ChatGPT János Horváth Varga, Head of AI, Hungarian Telekom
Day 2, Wednesday, February 15
Opening Session
9:00-9:30 – guest registrations & orientation
9:30-10:00 – opening remarks (Moderator: Dóra Lakatos, Péter Smejkál)
9:30 - 9:40 - British Embassy of Hungary opening remarks (Ambassador)
9:40-10:00 - Hungarian senior AI policy makers
Keynote presentations
10:00-12:00 (chair: András Benczúr)
10:00-10:20 Christian Szegedy, Google AI
10:20-10:40 Mark Gillan Head of Research & Development, NATS
10:40-11:00 Thomas Hahn BDVA President - Chief Software Expert SIEMENS AG
Plenary Session: European AI Initiatives (chair: András Benczúr)
11:00-11:15 Allaine Cerwonka, Director of International and Associate Director, AI for Science & Government Programme (ASG). Alan Turing Institute
11:15-11:30 Prof. Dr. Patrick Van der Smagt, Director of Volkswagen Group ML Research Lab Munich
11:30-11:45 Alexander Ilic, CEO ETH Zürich AI Center
11:45-12:00 Alois Krtil, CEO Artificial Intelligence Center Hamburg
12:00 -12:15 Geraud Guilloud - Senior European Funding Advisor
12:15-13:15 AI DEMO round tour
13:00-14:00 lunch break
14:00-15:15 Session 3A – Machine Learning and Control (chair: József Bokor)
Tamás Bécsi, University of Technology and Economy Budapest (BME)
Dávid Terjék, Pál Zsámboki, Alfréd Rényi Institute of Mathematics
Árpád Beszédes, University of Szeged
Hierarchical control design of automated vehicles for multi-vehicle scenarios Balázs Németh, Institute for Computer Science and Control (SZTAKI)
14:00-15:15 Session 3B – Gaia-X, Data Sharing and HPC (chair: Róbert Lovas)
Roland Fadrany, Gaia-X COO
Gaia-X Hub Austria: Accelerating European data ecosystems for economic, ecological and societal value creation Austrian HUB
Antal Kuthy, Co-founder and CEO, E-Group
KIFÜ
15:15 – 15:45 Coffee break
15:45-17:00 Session 4A – Machine Perception (chair: Tamás Szirányi)
Scene analysis and environment model synthesis from multisensorial spatial data Csaba Benedek, Institute for Computer Science and Control (SZTAKI)
Scene analysis and environment model synthesis from multisensorial spatial data
György Richárd Bogár. University of Technology and Economy Budapest (BME)
Human-Centered AI: Tools and Applications Kristian Fenech, Eötvös University Budapest (ELTE)
15:45-17:00 Session 4B – Agriculture (chair: Miklós Neményi)
Michael Halliwell, Commercial Director, CattleEye
Kit Franklin, Senior Engagement Fellow, Principal Investigator, Hands Free Farm
Bálint Ambrus, Széchenyi University, Mosonmagyaróvár
Hungarian University of Agriculture and Life Sciences (MATE
University of Veterinary Medicine Budapest
Exhibition
TBA
Contact
milab [at] sztaki.hu
Getting there
The Hungarian Railway Museum can be reached as follows:
By public transport:
Recommended route is 20E from Keleti railway station, which is conveniently reachable by metro (e.g. M4 to/from Kálvin Tér Airport bus stop and SZTAKI). 20E is one stop walk from the closest bus stop served by 30, 30A, 230 from Keleti, however 20E+walk is recommended. Attention: there are works on Metro line 3 partially served by replacement bus.
By train:
Special trains from Nyugati railway station to Railway Museum station (Vasútmúzeum): the most convenient way to get there, also the most fancy since the trains stop only for us. The following trains serve the Museum: TBA
Shuttle minibus:
Shuttle minibus from Heroes Square (Hősök Tere). Check for the Ford Transit with the SZTAKI logo. Departures at 8:30, 9:00 and 9:30, 8 people maximum. Please contact us to reserve your seat.
Taxi TODO
Sponsors
Support by the the European Union project RRF-2.3.1-21-2022-00004 and RRF-2.3.1-21-2022-00002 within the framework of the Artificial Intelligence and Autonomous Systems National Laboratories.