It's on the SophiaTech campus in the heart of the Sophia Antipolis technology park our laboratory conducts research in the field of information science and communication.
"Advancing knowledge, consider the economic and technological realities, while imagining tomorrow's solutions."

A view of three buildings accommodating the I3S lab

The I3S laboratory is one of the largest information and communication science laboratories in the French Riviera. it was one of first ones to settle down on Sophia Antipolis Science and Technology Park. It consists of a little less than 300 people. [+...]

In partnership with CNRS and INRIA, and numerous industrial collaborations, we work on the themes of innovative research at the cutting edge of science and technology: systems and networks ubiquitous, biology and digital health, modeling for environment interactions and practices. [+...]

The 5 latest submissions recorded in HAL (see all I3S scientific productions)

Fabienne De Graeve, Somia Rahmoun, Djampa Kozlowski, Nicolas Cedilnik, Eric Debreuve, Xavier Descombes, Florence Besse
An image based high throughput screen to identify regulators of Imp containing RNP granules
32nd French Drosophila Meeting, Oct 2018, Hyères, France
hal-01900773Poster communications
Anne-Marie Déry-Pinna, Alain Giboin, Lepreux Sophie, Philippe Renevier
A new approach for spatio-temporal data mining
AFIHM. 30eme conférence francophone sur l'interaction homme-machine, Oct 2018, Brest, France. IHM-2018, 8p, 2018, TeC-Travaux en Cours. 〈〉
hal-01899181Conference papers
Katie Mcdole, Léo Guignard, Fernando Amat, Andrew Berger, Grégoire Malandain, Loïc Royer, Srinivas Turaga, Kristin Branson, Philipp Keller
In Toto Imaging and Reconstruction of Post-Implantation Mouse Development at the Single-Cell Level
Cell, Elsevier, 2018, 175 (3), pp.859 - 876.e33. 〈10.1016/j.cell.2018.09.031〉
hal-01900416Journal articles
José Henrique De Morais Goulart, Pedro Marinho R. de Oliveira, Rodrigo Cabral Farias, Vicente Zarzoso, Pierre Comon
Alternating group lasso for block-term tensor decomposition with application to ECG source separation
hal-01899469Preprints, Working Papers
Duc Minh Tran
Découverte de règles d’association multi-relationnelles à partir de bases de connaissances ontologiques pour l’enrichissement d’ontologies
Machine Learning [cs.LG]. Doctorat de l'Université Côte d'Azur, 2018. English