Skip to main content
Home
AIDA
Artificial Intelligence Data Analysis

Main navigation

Show — Main navigation Hide — Main navigation
  • Home
  • AIDApy and AIDAdb
  • Documentation
  • Use cases
  • Events
  • Schools and Courses
  • Publications
  • Video
  • Partners
  • Advisory Board
  • Activities

Breadcrumb

  1. Home

Shine 19

AIDA:Python-based analysis of space data from observations and simulation using artificial intelligence

Giovanni Lapenta, KU Leuven

Main navigation

Show — Main navigation Hide — Main navigation
  • Home
  • AIDApy and AIDAdb
  • Documentation
  • Use cases
  • Events
    • 2018
    • 2019
      • AIDA first Annual Meeting
      • Waves Côte d'Azur
      • AGU19
      • EGU19
      • ESWW19
      • MMS19
      • Machine Learning in Heliophysics 2019
      • Pollenzo Magnetosphere 19
      • SC19: 18 - 22 November 2019
      • Shine 19
      • Vlasovia 19
    • 2020
    • 2021
  • Schools and Courses
  • Publications
  • Video
  • Partners
  • Advisory Board
  • Activities

Connect with us

Contact AIDA by e-mail

Like AIDA on Facebook

Follow AIDA on LinkedIn

Follow AIDA on Twitter

Follow AIDA on Research Gate

Join AIDA newsletter

Newsletter

AIDA's newsletter n.1 / July 2019

AIDA's newsletter n.2 / December 2019

AIDA's newsletter n.3 / March 2020

AIDA's newsletter n.4 / June 2020

AIDA's newsletter n.5 / September 2020

AIDA's newsletter n.6 / December 2020

AIDA's newsletter n.7 / July 2021

AIDA's newsletter n.8 / December 2021

EU The AIDA project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement No 776262.

@2019 AIDA

All information in this website is provided “as is” and no guarantee or warranty is given that the information is fit for any particular purpose. The user, therefore, uses the information at its sole risk and liability. For the avoidance of all doubts, the European Commission has no liability in respect of this website, which is merely representing the authors’ view.