Programme


20 Novembre 2017

Deep Learning : introduction, axes de recherche et use cases

8:20
Début de l’enregistrement des participants à l’auditorium

8:45—9:30
Welcome and Introduction,
Cédric Villani, Professor at Université de Lyon
Stéphane Regnier, Vice President Research at UPMC
Guillaume Barrat, European Higher-Education and Research Business Development at NVIDIA

9:30—10:30
From Neural Networks to Deep Learning, Patrick Gallinari, Professor at LIP6, UPMC

10:30—11:00
Pause café

11:00—12:30
Deep Learning for Industry - Challenges, use cases and perspectives 1 : Car Industry, Bank and Medicine
11:00—11:30 - AI & Big Data
Challenges and opportunities in the automotive industry, Jean-Marc David, Expert Leader in Artificial Intelligence at Renault
11:30—12:00 - BNP Paribas Data & AI Lab
AI rethinking Banking : BNP Paribas Use Case, Edouard d’Archimbaud, Leading Data Science and Artificial Intelligence Lab at BNP Paribas
12:00—12:30 - Radiology & AI
Radiology in the era of deep learning : What is at stake ? Pierre Fillard, Co-founder and CTO/CSO of Therapixel

12:30—14:00
Déjeuner

14:00—14:10
Écosystème de l’intelligence artificielle en France, Damien Gromier, France Is AI

14:10—15:40
Deep Learning at UPMC, Matthieu Cord, Ludovic Denoyer and Patrick Gallinari Professors at LIP6, UPMC

15:40—18:30 - Deep Learning for Industry - Challenges, use cases and perspectives 2 : Vision and Entertainment, Facebook Applications, Smart Cities
15:40—16:15 - Films and video games
Patrick Perez, Distinguished Scientist at Technicolor

16:15—16:45
Pause café

16:45—17:20 - Scaling up ML
Antoine Bordes, Research Scientist at Facebook Artificial Intelligence Research
17:20—17:55 - End to end deep learning to manage intelligent data for AI cities
Serge Palaric, VP Sales at NVIDIA
17:55—18:30 - Large scale Deep Learning in practice
Benedikt Wilbertz, Head of Data Science and Machine Learning at Trendiction S.A.


21 Novembre 2017

Un lab HPC + trois labs Deep Learning

8:20
Début de l’enregistrement des participants à l’auditorium

8:30—10:00
LAB 1 : OpenACC – 2X in 4 steps

10:00—10:30
Pause café

10:30—12:30
LAB 2 : Image Classification with NVIDIA DIGITS

12:30—14:00
Déjeuner

14:00—16:00
LAB 3 : Object Detection with NVIDIA DIGITS

16:00—16:30 Pause café

16:30—18:30
LAB 4 : Neural Network Deployment with NVIDIA DIGITS and TensorRT


22 Novembre 2017

GPU et HPC : exemples et un lab NVIDIA HPC

9:00—9:50
GPU Nested Monte Carlo Techniques for XVA Computations, Stéphane Crépey, Professor at LaMME, Université d’Evry Val d’Essonne

9:50—10:30
Clustering in Longitudinal Networks and Exploration of GPU Parallelization, Tabea Rebafka & Fanny Villers Assistant Professors at LPMA, UPMC

10:30—11:00 Pause café

11:00—11:40
Efficient Deployements of Scientific Applications on GPUs, Pierre Fortin, Assistant Professor at LIP6, UPMC

11:40—12:20
A High Performance Computing Platform for New Generation Molecular Simulations, Jean-Philip Piquemal, Professor at LCT, UPMC

12:20—12:45
Estimation of Numerical Reliability on GPUs, Fabienne Jézéquel, Assistant Professor at LIP6, UPMC

12:45—14:15
Déjeuner

14:15—16:00
LAB 5 : Step by Step Implementation and Optimization of Simulations in Quantitative Finance

16:00—16:30 Pause café

16:30—18:15 Table ronde animée par Jean-Charles Vasnier, Senior Solutions Architect for HPC and DL at NVIDIA, avec la participation de

  • Gérard Biau, Professor at LSTA, UPMC
  • Damien Dubuc, Expert HPC at ANEO
  • Pascal Frey, Professor at LJLL, UPMC
  • Patrick Gallinari, Professor at LIP6, UPMC
  • Gilles Pagès, Professor at LPMA, UPMC
  • Laurent Plagne, Research Expert at EDF Lab Paris-Saclay
  • Victor Reutenauer, Co-founder and CEO of FOTONOWER