Date : 2022-08-29 => 2022-09-02
Lieu : SCAI, Sorbonne Université, Paris, France.

Dear colleagues,

We are pleased to announce the ML4Oceans Summer School 2022, to be held from August 29th to September 2nd 2022 at SCAI/Sorbonne University in Paris, France.

The use of artificial intelligence is now crucial for environmental and climate issues, including oceanography. In this context, SCAI (https://scai.sorbonne-universite.fr/) , ISCD (https://iscd.sorbonne-universite.fr/), and the Institut de l’Océan (https://institut-ocean.sorbonne-universite.fr/en) of Sorbonne Université joined their forces to offer a transdisciplinary summer school for PhD and post-doctoral students. 20 students will be selected according to their academic background, their research subject & their motivation to participate in this school.

The objective: to acquire knowledges and skills in AI applied to oceanography (marine biology – omics, imagery -, physics, modeling, etc.)

Registration is open here until May 31st 2022:
https://framaforms.org/ml4oceans-summer-school-pre-registration-1647261215

Please do not hesitate to forward this announcement to any colleague who could be interested and sorry in advance for any cross-posting.

Provisional program (courses in English) :

Monday August 29: programming reminders and quick introduction
Tuesday August 30: biology-environment link (genomics, gradient boosting, distribution models). L Bittner & JO Irisson
Wednesday August 31: Derivation of poorly observed variables (satellite images of water color, SOM, filling by CNN). C Jamet & A Charantonis
Thursday September 1: Image classification (plankton images, CNN, vision transformers). JO Irisson, M Cord & H Touvron
Friday September 2: Dynamic modeling (marine ecosystem models, AI-informed physics). SD Ayata & P Gallinari.

Speakers:
Sakina-Dorothée Ayata, LOCEAN, SU
Lucie Bittner, ISYEB, SU
Anastase Charantonis, ENSIIE
Matthieu Cord, LIP6, SU
Patrick Gallinari, SU/Criteo AI Lab
Jean-Olivier Irisson, LOV, SU
Cédric Jamet, LOG, ULCO
Hugo Touvron, Facebook AI Research

Lien direct