GIS Parolothèque, a research platform on medical speech data

GIS Parolothèque, a research platform on medical speech data

Understanding and accompanying cancer patients? Computer science is tackling this social and public health issue. The Groupement d’Intérêt Scientifique (GIS) Parolothèque, created in 2021, aims to create a database of voice recordings, in the medical context and on the model of the tumor library. The SAMoVA team of the Signals and Images Department (SI) works in collaboration with the CHU, the Oncopole and various research laboratories, involved in an interdisciplinary

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Terra Forma, sensors to meet environmental challenges

Terra Forma, sensors to meet environmental challenges

The Terra Forma project aims to deploy a large network of environmental sensors to understand the transformations linked to climate change in pilot areas. Led by the CNRS, this open source and economical sensor project aims to obtain keys to understanding environmental changes in order to better adapt to them.

IRIT researchers awarded at the MTSR 2021 conference

IRIT researchers awarded at the MTSR 2021 conference

A group of researchers from IRIT composed of Amina Annane, Mouna Kamel, Nathalie Aussenac-Gilles, Cassia Trojahn, Catherine Comparot and Christophe Baehr was awarded a prize at the Metada and Semantics Research Conference (MTSR) 2021.

Preventing flood risk with decision algorithms

Preventing flood risk with decision algorithms

Within the framework of the Criz’Innov and i-Nondations, the teams SEPIA (Operating System, Distributed Systems, from Software to Architecture) and SMAC (Cooperative Multi-Agent Systems) present, in video, how decision algorithms can help anticipate and manage a crisis.

An IRIT publication selected as an outstanding paper at the RTSS 2021 conference

An IRIT publication selected as an outstanding paper at the RTSS 2021 conference

Congratulations to Christine ROCHANGE, Alban GRUIN, Thomas CARLE and Hugues CASSÉ from the TRACES (Architecture and Compilation for Embedded Systems) team of the Architecture, Systems and Networks (ASR) department, whose work has been selected as an outstanding paper at the 2021 IEEE Real-Time Systems Symposium (RTSS).