CERN, Wigner RCP together with the HEPTech Network are organizing the next Artificial Intelligence Academia-Industry Matching Event, about Artificial Intelligence, Machine Learning and those supported by Quantum Algorithms Hybrid 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 Artificial Intelligence, Machine Learning, Quantum Algorithms and their application.
Date: 11-12 November 2021
More information: https://indico.kfki.hu/event/1331/
PROGRAM
11 November, Thursday
Afternoon
14:00
Greeting (5')
Dr. Péter József Lévai, Director General Wigner RCP, Hungary
14:05
Opening (5’)
Dr. István Szabó, vice president, National Research, Development and Innovation Office, Hungary
14:10
Machine Translation Yesterday, Today and Tomorrow (45’)
Gábor Prószéky - Hungarian Research Centre for Linguistics, PPKE ITK Budapest, Hungary
14:55
Computations of Open Quantum Systems (25')
András Vukics - Wigner RCP
15:20 break (15')
15:35
AI and the Future of Long Term Data (45')
Alex Szalay - Johns Hopkins University, USA
16:20
Advances in Quantum Machine Learning: Theory and Experiment (45')
Seth Lloyd - MIT, USA
17:05
An Ultra-high Dimensional, Multi-class Synthetic Data Generator to Imitate Biometric Feature Spaces (25')
Dávid Hanák, Gergely Hanczár – CursorInsight, Budapest, London
17:30
Photonic Quantum Policy Learning in OpenAI Gym (25’)
Dániel Nagy
12 November, Friday
Morning
09:00
Machine Learning for Simulation in High Energy Physics (45')
Dalila Salamani - CERN, Switzerland
09:45
Using high-level C++ for HEP Data Processing on Accelerators (45’)
Attila Krasznahorkay - CERN, Switzerland
10:30 break (15')
10:45
Machine Learning Applications in Astronomy (25')
Róbert Szabó - Konkoly Observatory, ELKH CSFK, Research Centre for Astronomy and Earth Sciences, Budapest
11:10
Deep learning-based Microscopy Automation Applications (25')
Krisztián Koós BRC, Szeged Budapest
11:35
Machine Learning on Graphs and Quantum Graphs for Particle Tracking and Industrial Applications (25)
Daniel Dobos, Richard Forster – GluoNNet, CERN, Switzerland
12:00
Utilise Network Science in Multidimensional System Modelling and Analysis of Complex Manufacturing System (25')
László Nagy, Tamás Ruppert, János Abonyi – PE Veszprém, Hungary
12:25 lunch break (95')
12 November, Friday
Afternoon
14:00
Quantum Machine Learning: Prospects and challenges (45')
Iordanis Kerenidis – CNRS Paris & QC Ware
14:45
Models of Network Dynamics and Learning in the Hippocampus (25)
Szabolcs Káli – KOKI, Budapest, Hungary
15:10
Variable Projection Networks with Applications in Signal Processing (25')
Péter Kovács – Department of Numerical Analysis, Faculty of Informatics, ELTE Budapest, Hungary
15:35 break (15')
15:50
AI Model Explainers in Abstract Interpretable Qualitative Modelling (25')
Balázs Márk Hain, András Pataricza – BME, Budapest Hungary
16:15
Industrial Challenges in Multi-task and Multi-sensor Systems (45')
Nemes Csaba, Róbert Kabai - Continental Hungary
17:00
Empirical System Identification and Qulitative Reasoning (25')
András Földvári, András Pataricza – BME, Budapest, Hungary
