19-21 October 2020
Firenze, Italy
Europe/Zurich timezone

The renaissance of Machine Learning and Artificial Intelligence taking place during the last decade is affecting the hardware, the algorithms and the software libraries in use to conduct scientific searches.

MLPћ brings together machine-learning practitioners with experts of the distributed, large-scale computing infrastructure developed and operated to process and simulate large datasets from physics experiments. 

 

The Workshop will be organized in four tracks: 

  • Machine Learning in High Energy Physics;

  • Machine Learning for Fundamental Physics;

  • Machine Learning for Medical Physics;

  • Hardware and Infrastructure for large-scale Machine Learning.  

 

International Advisory Board

  • Tommaso Boccali, Pisa University
  • Claudio Grandi, INFN Bologna
  • Oscar Adriani,  Firenze University
  • Gastone Castellani, Bologna University
  • Mike Williams, Massachusetts Institute of Technology
  • Amir Farbin, University of Maryland
  • Denis Derkach, Higher School of Economics
  • Andrea Chincarini, INFN Genova
  • Sofia Vallecorsa, CERN
  • Lucio Anderlini, INFN Firenze
  • Cinzia Talamonti, Firenze University 

 

Local Organizing Committee

  • Lucio Anderlini
  • Cinzia Talamonti
  • Vitaliano Ciulli
  • Nicola Mori
  • Matteo Barbetti
  • Stefano Piffer 
  • Saverio Mariani
  • Nicolò Antolini

Administrative Secretariat

  • Antonella Pagliai, INFN Firenze  
  • Angelo Borrani, INFN Firenze

 

Sponsors:

Istituto Nazionale di Fisica Nucleare  University of Florence

 

 

 

 

Starts
Ends
Europe/Zurich
Firenze, Italy