AIME21 Workshop

AIME21 workshop conference.

CERN, the Wigner Centre for Physics and the HEPTech Network have organized the Artificial Intelligence Academia-Industry Matching Event again this year. The workshop aims to allow academic researchers and industry professionals to present their new results, share ideas and applications, and to facilitate new collaborations in the increasingly widespread fields of Artificial Intelligence, Machine Learning and High Performance Computing.

A Program:

November 11, 2021 afternoon: 14:00 - Opening: Dr. Péter József Lévai, Director General Wigner RCP, Hungary 14:05 - 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 November 12, 2021 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 Center 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 Drum, 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') 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') Csaba Nemes, Róbert Kabai - Continental Hungary 17:00 - Empirical System Identification and Qualitative Reasoning (25') András Földvári, András Pataricza – BME, Budapest, Hungary