from Monday, 29 October 2018 (11:00) to Tuesday, 30 October 2018 (20:30)
Hotel Mercure Budapest (Mátyás Hall (Groundfloor))

        : Sessions
    /     : Talks
        : Breaks
29 Oct 2018
30 Oct 2018
09:00 International Pilot Projects for Digital Transformation of Hungary - Dr Antal Nikodémus (ITM)   (Mátyás Hall (Groundfloor))
09:15 Introduction of the Accelerate Project - Steve Welch (ESP Central)   (Mátyás Hall (Groundfloor))
09:30 Applied Artificial Intelligence For Assisted and Autonomous Driving - Robert-Zsolt Kabai (Continental)   (Mátyás Hall (Groundfloor))
09:55 The ESS Control System Machine Learning Project - Karin Rathsman (ESSS)   (Mátyás Hall (Groundfloor))
10:20 Quantum Computing, Quantum Software and AI - Gábor Vattay (Eötvös Loránd University, Department of Physics of Complex Systems)   (Mátyás Hall (Groundfloor))
10:45 --- Coffee Break ---
11:15 The Mathematical Foundations of Artificial Intelligence - about the National Excellence Program - Balazs Szegedy (Alfred Renyi Institute of Mathematics)   (Mátyás Hall (Groundfloor))
11:50 Understanding understanding - Prof. Antal Jakovác (ELTE, Dept. of Atomic Physics)   (Mátyás Hall (Groundfloor))
13:00 Opening - Peter Levai (WIGNER RCP)   (Mátyás Hall (Groundfloor))
13:10 Supporting Decision Making through Interactive Visualisation - John Isaacs   (Mátyás Hall (Groundfloor))
13:35 Artificial Intelligence and Smart Interaction Research at BME TMIT Smartlabs - Géza Németh   (Mátyás Hall (Groundfloor))
14:00 Life beyond the pixels: image analysis and machine learning for single-cell analysis - Peter Horvath   (Mátyás Hall (Groundfloor))
14:25 Getting Artificial Intelligence into industry - Andrew Gargett   (Mátyás Hall (Groundfloor))
14:50 --- Coffee Break ---
15:10 Turning software into computer chips – Hastlayer - Mr Lehóczky Zoltán (Lombiq Technologies Ltd.)   (Mátyás Hall (Groundfloor))
15:35 Online Machine Learning in Big Data Streams - Theory and Practice - Andras Benczur (Institute for Computer Science and Control, Hungarian Academy of Sciences)   (Mátyás Hall (Groundfloor))
16:00 Federated Learning on the Edge - Mark Jelasity (University of Szeged)   (Mátyás Hall (Groundfloor))
16:25 From exploratory big data analysis towards run-time verification - Dezső Burján (Ericsson Hungary)   (Mátyás Hall (Groundfloor))
16:50 --- Coffee Break ---
17:10 modAL: A modular active learning framework for Python - Dr Danka Tivadar (Hungarian Academy of Sciences)   (Mátyás Hall (Groundfloor))
17:35 Machine learning: learning from reverse engineering human intelligence and engineering artificial intelligence - Dr Gergo Orban (MTA Wigner RCP)   (Mátyás Hall (Groundfloor))
18:00 How hidden knowledge in series of temporal events can be extracted and utilized? - Gyula Dörgő (MTA PE Lendület Complex Systems Monitoring Research Group)   (Mátyás Hall (Groundfloor))
18:45 NIPGboard: An analysing, visualization and interacting AI tool - Kinga Faragó (Eötvös University)   (Mátyás Hall (Groundfloor))
12:15 AI Methods in Human Language Technologies - Gábor Prószéky (MTA-PPKE Hungarian Language Technology Research Group)   (Mátyás Hall (Groundfloor))
12:40 From Applied Deep Learning to Artificial General Intelligence - Prof. Lőrincz András (Eötvös Loránd University)   (Mátyás Hall (Groundfloor))
13:05 --- Lunch ---
14:05 Visualizing velocity field strengths in medical image data with hyper-surfaces in spacetime - Dr Bernd R. Schlei (GSI Helmholtzzentrum für Schwerionenforschung GmbH)   (Mátyás Hall (Groundfloor))
14:50 Graph search and knowledge extraction related to communities - Jean-Marie Le Goff (CERN)   (Mátyás Hall (Groundfloor))
15:25 The Graph of Our Mind - Prof. Vince Grolmusz (Eötvös University)   (Mátyás Hall (Groundfloor))
15:50 Network-based analysis of common genetic background of diseases - Bence Bruncsics (Department of Measurement and Information Systems, Budapest University of Technology and Economics)   (Mátyás Hall (Groundfloor))
16:15 --- Coffee Break ---
16:45 Failure root-cause analysis by data analytics: concept and a case study - Dr László Milán Molnár   (Mátyás Hall (Groundfloor))
17:20 Towards using ML in critical applications - Andras Pataricza (Budapest University of Technology and Economics)   (Mátyás Hall (Groundfloor))
17:45 Federated, privacy-preserving learning of large-scale probabilistic graphical models - Dr Péter Antal (Budapest University of Technology and Economy)   (Mátyás Hall (Groundfloor))
18:10 ML and VA tools in support of software testing - András Lukács (Eötvös Loránd University)   (Mátyás Hall (Groundfloor))
18:35 Best Poster Award, Closing - Andras Telcs   (Mátyás Hall (Groundfloor))