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.


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.


10:50 – 11:40 Plenary Session – Hungarian National Laboratories (Chair: László Monostori)

The Artificial Intelligence National Laboratory at AI&Aut Expo 2023András Benczúr – scientific director, Artifical Intelligence National Laboratory

Presentation of the National Laboratory for Autonomous SystemsPéter Gáspár – Head of Laboratory, Autonomous Systems National Laboratory

University roles in AI ecosystems János Levendovszky, Vice-Rector, Budapest University of Technology and Economics (BME)

11:40-12:30 AI&AUT DEMO round tour

12:30-13:30 lunch break

13:30-15:00 Session 1A – Autonomous systems
(chair: Péter Gáspár)

Utilizing Learning and Prior Knowledge Jointly for Autonomous Systems Gellért Máttyus, Senior Expert on Machine Learning for Autonomous Driving, Continental Autonomous Mobility Hungary

The importance of AI in the Hungarian drone ecosystemDániel Rohács, Drone Coalition Hungary

The Future Flight ChallengeGary Cutts, Challenge Director, Future Flight, UK Research and Innovation

Autonomous Systems: Opportunities and ChallengesMichael Gadd, Head of the Office of Airworthiness, Blue Bear

Aerolelastic modelling and control challenges for fuel efficiency improvement of commercial aircraftBálint Vanek, Institute for Computer Science and Control (SZTAKI)

Agile maneuvering and transportation with autonomous drones Péter Antal, Institute for Computer Science and Control (SZTAKI)

13:30-15:00 Session 1B – Medical, Health
(chair: István Csabai)

Péter Ferdinándy, Vice-Rector for Science and Innovations, Semmelweis University

Miklós Szócska, National Laboratory for Health Security

AI based solutions in GE HealthCareLehel Ferenczi, GE HealthCare

The Huge Potential of AI in CAR-T Cell TherapiesBalázs Csanád Csáji, Institute for Computer Science and Control (SZTAKI)

Machine Understanding of Medical Text and MRI ImagesLászló Vidács, University of Szeged

Designing multivalent protein-protein interactions for pharmaceutical researchBence Bruncsics, Budapest University of Technology and Economics (BME)

15:00 – 15:30 Coffee break

15:30 – 17:00 Session 2A – Autonomous Systems in Industry (chair: József Váncza)

Made Smarter InnovationSherrie Rad, Innovation Lead, Made Smarter Innovation, Innovate UK UKRI

Smart Manufacturing Data Hub MDEP + VMPJustin Quinn, Centre for Engineering and Renewable Energy (CERE), University of Ulster

Responsible Tech at Digital CatapultJennifer Cheung, Data Ethicist, Digital Catapult UK

Smart modelling techniques for better insights Botond Kádár, EPIC Innolabs

Autonomous industrial robotics Gábor Erdős, Institute for Computer Science and Control (SZTAKI)

Applications of Artificial Intelligence in Manufacturing Engineering István Németh, Budapest University of Technology and Economics (BME)

Automation challanges in the automotive inhouse logisticsÁkos Csomós, Audi Hungária

15:30 – 17:00 Session 2B – Natural Language Processing (chair: Richárd Farkas)

CogStack and Clinical Applications of NLP Thomas Searle, researcher, Health Data Research UK

Unlocking the Secret Powers of Natural Language Processing Christopher Weavill, Co-founder & CEO, Hertizan

ChatGPT vs. OTP GPT Lotár Schin, OTP Bank, AI CoE Lead

Telekom Digital Business Assistant and the ChatGPT János Horváth Varga, Head of AI, Hungarian Telekom

End-user applications based on large language models Gábor Berend, University of Szeged

Neural speech technologies Géza Németh, Budapest University of Technology and Economics (BME)

Digital Kazinczy Association László JOBBÁGY, Neumann Technology Platform, Digital Champion

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 Paul Fox, British Ambassador to Hungary, British Embassy of Hungary

9:40 - 10:00 István Szabó, Vice President, Hungarian National Research, Development and Innovation Office (NKFIH)

10:00 - 12:00 Keynote presentations (chair: András Benczúr)

10:00 - 10:20 Advancing aviation, keeping the skies safe … how can digital twins and AI support our mission?Mark Gillan, Head of Research & Development, NATS

10:20 - 10:40 Towards Reliable AI Christian Szegedy, Google AI

10:40 - 11:00 Industrial AI and how to cooperate in ecosystems Thomas Hahn, BDVA President - Chief Software Expert, Siemens AG

Plenary Session: European AI Initiatives (chair: András Benczúr)

11:00 - 11:15 Data Driven AI Innovations for Robotics & Autonomous Systems Sethu Vijayakumar, Programme Director for Human-AI Interfaces and Robotics, Turing Fellow at The Alan Turing Institute

11:15 - 11:30 Patrick Van der Smagt, Director of Volkswagen Group ML Research Lab Munich

11:30 - 11:45 ETH AI Center Overview Alexander Ilic, CEO ETH Zürich AI Center

11:45 - 12:00 Introducing Artifical Intelligence Center Hamburg Alois Krtil, CEO Artificial Intelligence Center Hamburg

12:00 - 12:15 vision4AI- A coordination of the AI networks of excellence centres Geraud Guilloud - Senior European Funding Advisor

12:15-13:00 AI&AUT DEMO round tour

13:00-14:00 lunch break

14:00-15:15 Session 3A – Machine Learning and Control (chair: József Bokor)

Autonomous Vehicle Research at the Széchenyi UniversityErnő Horváth, Széchenyi István University (SZE)

Autonomous Vehicle Research at the Budapest University of Technology and EconomicsTamás Bécsi, Budapest University of Technology and Economics (BME)

Pure mathematics and AIDávid Terjék, Pál Zsámboki, Alfréd Rényi Institute of Mathematics

AI Testing - a new, industry-oriented certification and trainingÁrpád 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)

Gaia-X Trust Framework – Enabling borderless dataspacesRoland Fadrany, Gaia-X COO

Gaia-X Hub Austria: Accelerating European data ecosystems for economic, ecological and societal value creation Mario Drobic AIT Austria, Gaia-X Austrian HUB

Common projects, new consortia and regulation for usage of modern technologiesMartina Malakova, SK CEE Tech

Federated AI scaling on distributed data to EU cloud (FedX)Antal Kuthy, Co-founder and CEO, E-Group

Komondor, an AI specialized HPC system Zoltán Kiss, KIFÜ, Head of HPC Development and Operations

Digital Trust Services (DTS) - distributed DATA and Ai reliability across the EUGyula Solymos , Chief Technology Officer Advisor, 4iG

Will the new EU data regulations satisfy AIs' hunger for data?Zsolt Ződi, National University of Public Service Hungary

15:15 – 15:45 Coffee break

15:45-17:00 Session 4A – Agriculture (chair: Miklós Neményi)

Anikó Juhász, Ministry of Agriculture Hungary

Unlocking the potential of AI in agricultureRéka Haraszi, Sector Lead, CHAP Solution

How Autonomous Video Monitoring Can Help to Keep your Eyes on Your Cows 24/7 – Early Lameness ManagementMichael Halliwell, Commercial Director, CattleEye

Automation, Machine Vision and Learning for precision farmingKit Franklin, Senior Engagement Fellow, Principal Investigator, Hands Free Farm

Introduction to B-hive InnovationsMercedes Torres Torres, Head of Machine Learning, B-hive Innovations Ltd

Systematic Approach for Emerging Food Systems Risk IdentificationÁkos Józwiak, University of Veterinary Medicine Budapest

Introduction of Hungarian University of Agriculture and Life Sciences; Precision agriculture, AI possibilities and visions in MATEGábor Milics, Hungarian University of Agriculture and Life Sciences (MATE)

Small autonomous robot development for data logging and analyzingBálint Ambrus, Anikó Nyéki; Széchenyi University, Mosonmagyaróvár

15:45-17:00 Session 4B – Machine Perception (chair: Tamás Szirányi)

Scene analysis and environment model synthesis from multisensorial spatial data Csaba Benedek, Institute for Computer Science and Control (SZTAKI)

Empowering medical imaging with machine learningPéter Pollner, Eötvös University Budapest (ELTE)

Vision-based Localization with Deep Neural NetworksGyörgy Richárd Bogár, Budapest University of Technology and Economics (BME)

Human-Centered AI: Tools and Applications Kristian Fenech, Eötvös University Budapest (ELTE)


Many interesting industrial applications, research topics and results will be on display in the exhibition area of AI & AUT EXPO. Exciting demonstrations in the fields of self-driving vehicles, industrial automation, robotics, drone technology, machine perception and language technology applications will be presented by members of the Autonomous Systems National Laboratory and the Artificial Intelligence National Laboratory consortiums, as well as industrial companies. Visitors will have the opportunity to learn about research and development activities within the institutions and companies and to meet researchers directly.

Exhibiting industrial partners:
4iG | Audi Hungária | Bosch Rexroth | Continental Autonomous Mobility Hungary | Clementine | Magyar Telekom | Nokia

More information about the exhibition and exhibitors is available on the official app. The AI & AUT EXPO Hungary official app can be downloaded for Android and iPhone by clicking here.

Android iOS


The event is at capacity. Thank you for your interest, registration is no longer possible.


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:


Departure from Nyugati Pályaudvar railway station to Vasútmúzeum: 08:51 - Train number: 2062

Departure from Vasútmúzeum megálló to Nyugati Pályaudvar: approx. 17:30 - Train number: 2063

Departure from Vasútmúzeum megálló to Nyugati Pályaudvar: approx. 18:00 - Train number: 2073


Departure from Nyugati Pályaudvar railway station to Vasútmúzeum: 08:51- Train number: 2062

Departure from Vasútmúzeum megálló to Nyugati Pályaudvar: approx. 17:30 - Train number: 2063

Departure from Vasútmúzeum megálló to Nyugati Pályaudvar: approx. 18:00 - Train number: 2073


We recommend the following taxi companies and their apps:

Főtaxi -+3612222222 (this is the official airport taxi)

City Taxi - +3612111111

Bolt (app only)

Free parking:

The Hungarian Railway Museum has a free outdoor parking lot with 1,000 spaces. We recommend to use this option. Please note that charges shall be paid for parking on a public space on the territory of Budapest


Neumann 4iG

Support by 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.