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Workshop ARTIFACTZ: Artificial Intelligence for Characterizing Plankton Traits from Images

Du 24 au 26 avril, au Laboratoire d'Océanographie de Villefranche-sur-Mer, nos collègues JO Irisson et S Ayata organisent (avec Frederic Maps, chercheur à l'Universite Laval, en sabbatique au LOV à partir d'Aout) un workshop sur les techniques de machine learning appliquées au plancton.

Les intéressés peuvent s'inscrire ici.Nouvelle fenêtre

 

We are happy to invite you to participate in the ARTIFACTZ workshop about the use of machine learning algorithms to characterize individual traits from images of aquatic organisms, with a special focus on plankton.

This workshop will be held from April 24 (pm) to April 26 (am) at the Laboratoire d’Océanographie de Villefranche-sur-Mer (France, close to Nice).

We will cover the costs of the meals and accommodation (at the Observatoire de Villefranche or in a hotel nearby) if you confirm your participation before the 10th of February (see below), thanks to the ARTIFACTZ project funded through the Sentinelle Nord programme of Université Laval and the IDEX Nice-Côte d’Azur.

Our objective is to bring together a group of participants with expertise in the various aspects of the complex issue of identifying individual traits from images and/or developing new tools combining imaging methods and machine learning algorithms. We would like to make together a leap forward in our ability to automatically detect AND measure important functional traits of aquatic organisms.

We further encourage researchers who may not have had yet the opportunity to establish active collaborations with colleagues across the transdisciplinary gap to participate.

You are encouraged to submit an abstract to communicate relevant research in the form of 15 min talks or posters, and to contribute to the preparation of a Quo Vadimus paper to be submitted to the upcoming ICES Journal of Marine Science special issue “Applications of machine learning and artificial intelligence in marine science”.

Quo Vadimus papers should describe the future developments of a research topic, issue or technology. To achieve significant results, you will have the opportunity to manifest your interest in the registration form and we will be able to exchange on a draft beforehand.

All the details as well as the registration form are available hereNouvelle fenêtre.