Welcome to the DYNI group
We are research group of the Laboratoire d’Informatique et Systemes (LIS) - UMR 7020 CNRS hosted at the Université de Toulon (UTLN), France. Our aim is develop and innovate in methods of machine learning, signal processing and data analysis in order to improve our knowledge and understanding in physical, natural and human sciences.
DYNI’s research in artificial intelligence and representation learning aims to cover the data processing and transmission chain from sensors to users, applied to domains such as bioacoustics, speech and hearing, multimodal information analysis in physics, health and cognition, underwater robotics (see Research).
We are located at Université de Toulon (UTLN) in the south coast of France and door to the Mediterranean sea. We collaborate closely with our colleagues at COSMER and MIO and our neighbors at IFREMER.
We are looking for passionate new PhD students, Postdocs, and Master students to join the team (more info) !
News
14. September 2023DYNI seminar by Vincent Kather on Development of a Machine Learning Detector for Humpback Whale Song in the North Atlantic
19. August 2023Our MIM team at DYNI won the The 2nd Clarity Prediction Challenge. Well done Santiago Cuervo!
31. May 2023DYNI seminar by Nicolas Deloustal on Wigner-Ville transform<
15. Mar 2023Workshop IA, Explorations Bioacoustiques et Anthropophonie Marines, with the colaboration of IM2NP, Sorbonne univ., Akvaplan and Longitude181
26. Jan 2023DYNI seminar by Adrien Deverin on Primitive Neural Network: une nouvelle perspective pour l'IA ultra-low power
29. Sep 2022DYNI seminar by Dan Stowell on Deep embedding methods for high-resolution animal sound recognition
5. Jan 2022DYNI seminar by Mark Asch on Machine learning for inverse problems
29. Oct 2021DYNI seminar by Luca Tassara (Akvaplan-niva) on the projet ASGARD and on Ecological founding from passive acoustic data collected from a sea glider in the norwegian sea
26. May 2021DYNI seminar by Yuki Mitsufuji on his recent work on the localisation, classification and separation of acoustic sources