Search for a funded project
From biological decision making and temporal learning to ultra-edge AI – MicroBrainOnEdge
Centralized AI models are complex, and the computation required to train large AI systems increases tenfold annually. Current foundational models have hundreds of billions of parameters. Trade-offs between computational capability, resources, size, and power consumption (SWaP) will shortly become cr
From specific ceramic materials and components to integrated, secured and intelligent communication systems
Le LabEx Σ-LIM est un programme de recherche interdisciplinaire en science des matériaux, procédés céramiques et composants électroniques et photoniques pour les systèmes de communication intégrés, sécurisés et intelligents. Depuis 2011, le LabEx Σ-LIM a fortement contribué à la structuration et à l
From the lab to the field: A multiple assessment of stress in daily life to better understand social facilitation and impairment effects – DAY-STRESS
Stress, broadly defined as the response of the organism to challenging conditions, is central to life adaptation. However, stress may also have negative consequences in many domains (e.g., academic success, decision making, health). DAY-STRESS is anchored in a social psychology and neurophysiology a
Full-stack Optimization of Ultra-low-power TPGs for Intelligent Cyberphysical Systems – foutics
The increasing complexity of deep neural network based artificial intelligence (AI) is creating a challenge for embedding AI in ultra-low power (ULP) Internet-of-Things (IoT) devices and Cyber- Physical Systems (CPS). The aim of the FOUTICS project is to propose full-stack methods to train and infer
Fully automated 3D fiber arrays for cell dynamic mechanical analysis – FibersForCells
In order to reproduce the prototypical organisations characteristic of native extracellular matrices, whose properties control cellular behavior, we will use two-photon polymerization to build versatile fiber arrays in which migration and protrusive cell activities will be quantified, in link with 3
Functional lignin-based 4D composites by additive manufacturing with A.I. improved magnetic triggering performance – MAGNELIN4D
MAGNELIN4D is a multidisciplinary project to develop new adaptive smart materials with magnetic actuation capabilities using Additive Manufacturing (AM) and Artificial Intelligence (AI). MAGNELIN4D brings together a consortium of 4 academic partners and one company (ETI) to conduct applied research
Funerary composting: use of Participatory Action Research to support a social transition – F-COMPOST
This research program results from a demand arising from civil society, which claim studies focusing on funerary composting. In this funeral process process, the body of the deceased is placed on a layer of plant shavings, then covered with the same material. Due to the natural degradation by aerobi
Fusion of Heterogeneous Components by Articial Intelligence – FUSCHIA
INPIXAL specializes in collecting and processing images from drones for ISR (Intelligence, Surveillance, Reconnaissance) missions for military and civil purposes. The experience accumulated during experiments or operational missions for the DGA or institutional clients shows that, while the performa
Fusion of imaging and text data for longitudinal stroke prediction and intervention – IMAGE-TEXT-AVC
This project aims to improve prediction and intervention in strokes by integrating medical imaging data and textual reports. It is based on a robust database, RELATE, which collects clinical and imaging information from patients treated for ischemic stroke at the CHU de Lyon. Since 2020, this databa
GAme Theory and Statistical estimation Bring Importance measures and Interpretability – GATSBII
The extensive use of machine learning (ML) models in data-based artificial intelligence (AI) systems --especially those submitted to new European regulations-- require explanations, to serve the intelligibility and auditability of these AI systems. Explainability in AI (XAI) is linked to the abil
