The Summer School Program Venue Apply

ELLIS Summer School on Large-Scale AI for Research and Industry

Modena, 18-22 September 2023

Presentation

The 2023 ELLIS Summer School on Large-Scale AI is an annual event for ELLIS PhD students, post-docs and fellows to meet in person and share knowledge about Machine Learning, Intelligent Systems and all topics covered by the ELLIS Programs. The theme of the lectures and keynotes of this edition will be “Large-Scale AI for Research and Industry”. The school will focus on advanced scientific research and on the exploitation of European GPU-based HPC facilities. As our research has strong implications and applications in industry, we will also discuss with representatives of industrial research labs.

Highlights
Students of the School will have the opportunity to:

attend high-profile lectures and tutorials from top-level scientists
attend lab lectures from both academia and industry
discuss their work through poster and tooling sessions
develop projects on the parallel GPU facilities of the Leonardo Supercomputer hosted by CINECA
have fun! 😃

The school takes place in Modena and is organised by the Modena ELLIS Unit, comprising researchers from the University of Modena and Reggio Emilia (UNIMORE), the University of Florence, and CINECA - the Italian Supercomputing Centre.

Confirmed Speakers

Mario Fritz

CISPA Helmholtz Center for Information Security

Tal Hassner

Meta AI

Laura Leal-Taixé

NVIDIA and TU Munich

Pietro Perona

California Institute of Technology

Marc'Aurelio Ranzato

DeepMind

Victor Sanh

Hugging Face

Bernt Schiele

Max Planck Institute for Informatics

Bjoern Schuller

Imperial College London

Nicu Sebe

University of Trento

Cees Snoek

Qualcomm QUVA Lab and University of Amsterdam

Federico Tombari

Google Zurich

In addition, we will have speakers from NVIDIA and CINECA to provide tutorials on large-scale computing.

Large-Scale student projects

The School will represent a unique opportunity for students to develop and train large-scale Deep Learning projects. In particular, students will be given access to the Booster partition of the Leonardo Supercomputer which contains 3456 computing nodes each equipped with four NVIDIA Ampere GPUs with 64GB, with a 89,4 TFLOPs peak per node. For the School, CINECA has reserved 500 Ampere GPUs for three days.

Organization