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CERN, SZTAKI, WIGNER RCP and the universities of ELTE together with the HEPTech Network are organizing the next
Artificial Intelligence
Academia-Industry Matching Event
Artificial Intelligence, Machine Learning and Scientific computing
ONLINE 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, High Performance Computing and their application.
PROGRAM
26 November, Thursday
Afternoon
13:30
Opening (10')
Dr. Péter József Lévai, Director General Wigner RCP, Hungary
13.40
Life beyond the pixels: single-cell analysis using machine learning and image analysis methods
Dr. Péter Horváth, BRC Szeged, Hungary
14:10
Greeting words (10')
Dr. István Szabó, Deputy President, NKFIH, Hungary
14:20
Taming neural networks with TUSLA: Non-convex learning via adaptive stochastic gradient Langevin algorithms (25')
Attila Lovas - Alfréd Rényi Institute of Mathematics, Hungary
14:45
Methods for Interpreting Text Autoencoders (25')
Bálint Gyires-Tóth - BME, Hungary
15:10 break (20')
15:30
Representation and control: linear or nonlinear dimensionality reduction? (25')
Sandro Mussa-Ivaldi - Northwestern Univ., USA
15:55
Hastlayer - Implementing on Xilinx Alveo Accelerator Cards (35')
Ernő David, Zoltán Lehóczky - Wigner RCP; Lombiq Technologies Ltd., Hungary
16:30
Conversational AI Technology - Business Applications (25')
Nadia Kaloyanova - TechnologyValley, Bulgaria
27 November, Friday
Morning
09:00
The first year of the Hungarian Artificial Intelligence National Laboratory (MILAB) (25')
András Benczúr – SZTAKI, Hungary
09:25
The Hungarian AI strategy (25')
László Boa - Hungarian Artificial Intelligence Coalition, Hungary
09:50
nucleAIzer: nucleus segmentation with DL & image style transfer (35')
Réka Hollandi - BRC, Szeged, Hungary
10:25 break (20')
10:45
Considerations and Applications for HPC, Machine Learning and AI technologies for accelerating scientific discovery at next generation research infrastructures (25')
Jonathan Taylor - European Spallation Source ERIC, Sweden
11:10
Deep calibration (25')
Gábor Fath - Morgan Stanley, Hungary
11:35
Two years into the ESS Control System Machine Learning Project (25')
Karin Rathsman - European Spallation Source ERIC, Sweden
12:00 lunch break (60')
Afternoon
13:00
Superfeminine and Supermasculine Connections of the Human Brain (35')
Vince Grolmusz - ELTE, Hungary
13:35
Machine Learning in Government Bond Trading (25')
György Ottucsák - Morgan Stanley, Hungary
14:00
Market liquidity, order book dynamics and machine learning (25')
Balázs Meszéna - Optiver Europe (on leave), Hungary
14:25
VPNet: Variable Projection Networks (25')
Péter Kovács - ELTE, Hungary
14:50 break (20')
15:10
Playing detective: Dissecting silent failures of Deep Learning models for 3D Point Clouds (25')
Robert-Zsolt Kabai - Continental, Hungary
15:35
Insights to Hit to Lead (25')
Ivan Stankov - AI Incovered Ltd, Bulgaria
16:00
Hardness of planning and learning with linear function approximation in reinforcement learning (35')
Csaba Szepesvari – DeepMind, Univ. Alberta, USA
Dates
workshop 26-27 November 2020
Venue sent via invitation email
Attendance 100 access points are available. Registrations are accepted in
FIFS order.
No registration fee
Web AIME20
Contact person András Telcs, telcs.andras@wigner.hu
Organizing Committee
András Telcs, Chair Wigner RCP
Jean-Marie Le Goff, Chair CERN
Péter Lévai Wigner RCP
István Csabai Eötvös Loránd University
Ildikó Bárányi BRRG ELKH TKI
Program Committee
András Benczúr Institute for Computer Science and Control
András Lőrincz Eötvös Loránd University
Antal Jakovác Wigner RCP