Call for Participation (apologies for multiple posting)
1st edition of the Mediterranean Machine Learning (M2L) summer school
August, 31st - September, 5th 2020 in Milan, Italy
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Dear colleagues, we are proud to announce the first edition of the Mediterranean Machine Learning (M2L) summer school, a 6-days event where participants will take intensive courses on the most recent and fast developing core areas of machine learning with the possibility to interact with experts in the field. The participants will have access to a series of invited talks, followed by practical lab sessions
The target audience will consist primarily of Master and Doctoral students, academics, and practitioners from all around the world, with a focus on the Mediterranean area. We strive for diversity, and welcome everyone to apply!
APPLICATION DEADLINE: 16 March 2020 - we might close the application sooner if we receive more than 600 applications. More info at http://www.m2lschool.org/application
=== MOTIVATION AND DESCRIPTION ===
Selection of topics:
Computer vision
Neural machine translation
Text generation
Graphnets
Meta/Multitask learning
(Deep) reinforcement learning
Robotics
Non-parametric Bayes
Applied machine learning and deep learning (E.g., healthcare, physics, weather, ..)
and more!
Boost networking and knowledge transfer:
M2L brings together early-stage researchers, practitioners and world-leading experts, providing access to high quality education, and strengthening the local and foreign machine learning ecosystem by fostering durable connections among researchers, as well as among practitioners and industry.
Support dialogue and collaboration:
The Mediterranean Machine Learning (M2L) summer school aims to promote an informed dialogue among companies, academia and institutions, encouraging them to take an active role in shaping, regulating and supporting the evolution of the artificial intelligence field, as well as to facilitate the exchange of ideas and the establishment of partnerships.
Promote diversity and inclusion:
AI is revolutionizing several fields, from computer vision to autonomous driving and robotics. Its potential to radically change our society calls for this technology to be mastered and shaped by everyone, with equal representation of genders, ethnicities, nationalities, religions and economic backgrounds.
=== LOCATION AND DATES ===
The Mediterranean Machine Learning (M2L) summer school 2020 will take place in Milan, Italy, from the 31st of August to the 5th of September. The school will be located in the spaces of Università degli Studi di Milano-Bicocca.
=== LIST OF SPEAKERS ===
Christopher Bishop, University of Cambridge (Fellow), University of Edinburgh (Professor), Microsoft Research (Director)
Raia Hadsell, DeepMind (Research Scientist)
Nicolò Cesa-Bianchi, Università degli Studi di Milano (Professor)
Marc'Aurelio Ranzato, Facebook AI Research (Co-founder)
Michael Bronstein, Imperial College (Professor), Twitter (Head of Graph Learning)
Silvia Chiappa, DeepMind (Research Scientist)
Carlo Ciliberto, Imperial College (Lecturer)
Anna Harutyunyan, DeepMind (Research Scientist)
Michela Paganini, Facebook AI Research (Postdoctoral Researcher)
Andrea Banino, DeepMind (Research Scientist)
Orhan Firat, Google (Research Scientist)
Roberto Calandra, Facebook AI Research (Research Scientist)
Alberto Arribas, UK Met Office (Head of the Informatics Lab)
Gaia Rubera, Bocconi University (Professor)
Ayse Kucukyilmaz, University of Nottingham (Lecturer)
And more coming soon!
=== STEERING GROUP ===
Matteo Hessel, Deepmind
Francesco Romano, Deepmind
Francesco Visin, Deepmind
Martina Zambelli, Deepmind
=== ORGANIZERS AND PARTNERS ===
Andrea Banino, Deepmind
Simone Bianco, Università degli Studi di Milano Bicocca
Vincenzina Messina, Università degli Studi di Milano Bicocca
Matilde Padovano, Lead the Future
Matteo Palmonari, Università degli Studi di Milano Bicocca
Gabriella Pasi, Università degli Studi di Milano Bicocca
=== ADVISORS ===
Razvan Pascanu, Deepmind
Silvia Chiappa, Deepmind
Francesco Nori, Deepmind
Andrea Tacchetti, Deepmind
=== MORE INFORMATION ===
Web: www.m2lschool.org
Email: organ...@m2lschool.org