CERN, MTA SZTAKI, MTA WIGNER RCP and the universities of BME, ELTE together with the HEPTech Network are organizing the next
Academia-Industry Matching Event
Machine Learning and Visual Analytics in the Clouds Workshop
The aim of this event is to bring together Academic researchers and Industry experts to share ideas, potential applications and fostering collaborations in the newly emerging field of Machine Learning and Visual Analytics and related technologies.
The event is sponsored by:
ACCELERATE is a Horizon 2020 project, supporting the long-term sustainability of large scale research infrastructures (RIs) through the development of policies and legal and administrative tools for a more effective management and operation of RIs, with a special focus on ERICs and CERIC in particular.
ACCELERATE has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N. 731112
Topics of the workshop include
Quality of Life
Cloud Computing Technology
Jean-Marie Le Goff, CERN
András Pataricza, Budapest University of Technology
Róbert Kabai, Continental Ltd.
László Milán Molnár, Robert Bosch Ltd.
Balazs Szegedy, Alfred Rényi Institute of Mathematics
Zoltán Lehóczky, Lombiq Technologies Ltd.
Vince Grolmusz, Eötvös Loránd University
Géza Németh, Hungarian CP for EU AI project
Gergő Orbán, Wigner RCP
Gábor Prószéky, MorphoLogic Ltd.
Gábor Vattay, Eötvös Loránd University
András Benczúr, SZTAKI
András Lőrincz, Eötvös Loránd University
Péter Antal, Budapest University of Technology
Call for contribution
Contributed talks, posters are warmly welcome. Abstracts are requested at the registration.
Competition for young contributors will be organized for the best 1 talks and 1 posters.
The maximum poster dimensions are 100 cm in width and 200 cm in height.
Decision on submitted abstracts is coming soon!
Dates 29-30 October 2018
Venue Hotel Mercure Buda, Budapest, Hungary
Attendance 80 seats are available. Registrations are accepted in FIFS order.
100 € for regular participants,
The registration fee is waived for young participants with valid student ID.
Contact person firstname.lastname@example.org