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
10:00-10:50 – opening remarks (Moderator: Dóra Lakatos, Péter Smejkál)
Miklós Maróth, president, Eötvös Loránd Research Network
László Monostori, director, Institute for Computer Science and Control
Roland Jakab, director AI Coalition Hungary, Ericsson regional director
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)
Exhibition
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.
Registration
The event is at capacity. Thank you for your interest, registration is no longer possible.
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:
2023.02.14.
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
2023.02.15.
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
Taxi:
We recommend the following taxi companies and their apps:
Főtaxi -+3612222222 (this is the official airport taxi)
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
Sponsors
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.