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ICube Research Axis on “Data Science and Artificial Intelligence”

The main objective of research axis DSAI is to bring together researchers working in areas related to artificial intelligence and data science by building forums for scientific exchanges within ICube. It targets researchers developing novel methods as well as researchers desiring to apply DSAI approaches to analyze their data, such as images, videos, time series and texts in all the application areas of the laboratory: health, environment, remote sensing, factories of the future.

Keywords: images, videos, time-series, machine learning, deep learning

Applications:

  • Health
  • Environment
  • Remote sensing
  • Factories of the future

Coordination:

  • Vincent Noblet (IMAGeS)
  • Nicolas Padoy (AVR)
  • Cédric Wemmert (SDC)
  • Hervé Yésou (SERTIT)