NARRATE develops an AI-based tool to enhance resilience in manufacturing and logistics. The Intelligent Manufacturing Custodian (IMC) acts as a nerve center, using data for proactive decision-making and real-time monitoring. IMC integration transforms supply chains into Smart Manufacturing Networks (SMNs) capable of withstanding disruptions. A Digital Twin represents SMN data, training machine learning models to predict disruptions. AI algorithms provide real-time reporting on a dashboard.
INSA Challenge:
Transport : Structures, Infrastructures et Mobilités
Partners:
AIDIMME – Instituto Tecnológico
Scientific Academy for Service Technology
FRAUNHOFER
BRUNEL UNIVERSITY LONDON
SAG Software
F6S Network
Synesis
Fagama Investment Sociedad Limitada
DHL
Nunsys
BUDATEC
MICUNA
Funding Institution:
COMMISSION EUROPEENE
Dates - Duration:
2023-12-01 00:00:00 to 2026-11-01 00:00:00
Funding:
5611566
Contact:
armand.baboli@insa-lyon.fr
Chapo:
NARRATE aims to strenghten manufacturing resilience by developing an AI-based tool, the Intelligent Manufacturing Custodian (IMC), integrating Digital Twin and IoT technologies to predict and manage disruptions, while transforming supply chains into Smart Manufacturing Networks (SMNs).
The project is motivated by two observations: (i) there is currently a shift from relational to Graph Databases (GDBs) that still suffer from a lack of a formal semantics; (ii) GDBs not only have to be queried, but also transformed in a meaningful and reliable way.
INSA Challenge:
Information et Société Numérique
Funding Institution:
ANR
Dates - Duration:
2022-10-01 00:00:00 to 2026-03-01 00:00:00
Funding:
264420
Contact:
riccardo.tommasini@insa-lyon.fr
Chapo:
The lack of shared formal underpinnings for continuous query languages is the main obstacle towards the rise polystreaming systems
With 1.6 doctors per 1,000 people worldwide and 3.2 doctors per 1,000 people in France, medicine is under immense demographic pressure and providing appropriate access to care to the entire population is still a dream. According to the WHO, 1 in 4 people in Europe are affected by psychiatric disorders during their lifetime. In France, nearly 3 million people are affected by depression each year. An important challenge of artificial intelligence is to facilitate medical diagnoses.
INSA Challenge:
Santé Globale et Bioingénierie
Partners:
HUMAN MATTER
Funding Institution:
ANR
Dates - Duration:
2022-10-01 00:00:00 to 2026-03-01 00:00:00
Funding:
382918
Contact:
celine.robardet@insa-lyon.fr
Chapo:
Improving psychiatric screening with artificial intelligence
Submitted by lgaillard1 on Tue, 06/06/2023 - 08:27
Keywords:
ANIMAL WELFARE
DATA MINING
Welfare: Artificial Intelligence and new Technologies for Tracking key indicator Traits in animals facing challenges of the agro-ecological Transition
Project Leader:
INRAE
INSA’s scientific leader:
Céline ROBARDET
Improving animal welfare (AW) is recognized as a key element for the sustainability of livestock production systems. The agroecological (AE) transition will have major impacts on AW with expected positive effects (increased space allowance for animals, more freedoms) but also specific vulnerabilities (less optimized and more diverse feeding regimens, fluctuating environments, emergence of pathogens).
INSA Challenge:
Information et Société Numérique
Partners:
INSA LYON - LIRIS
UNIVERSITE RENNES I
CEA
INRIA
LIT OUESTEREL
AI HERD
Funding Institution:
PIA ANR
Dates - Duration:
2022-10-01 00:00:00 to 2027-10-01 00:00:00
Funding:
3002622
Contact:
celine.robardet@insa-lyon.fr
Chapo:
Improving animal welfare for the sustainability of animal production systems within the agroecological transition
Submitted by lgaillard1 on Mon, 12/19/2022 - 12:41
Keywords:
MACHINE LEARNING
TRAITEMENT AUTOMATIQUE DU LANGAGE
DEPLOIEMENT INTELLIGENT DE SOLUTIONS D'IA DANS LE EDGE COMPUTING
Project Leader:
INSA Lyon - LIRIS
INSA’s scientific leader:
Véronique EGLIN
Accéder à des sources documentaires hétérogènes anciennes constituées de textes manuscrits ou imprimés, d'images, de gravures, ou encore de photographies difficiles à indexer, constitue l'enjeu central des nouveaux systèmes dédiées à l’extraction d’information sémantique des corpus de documents.
INSA Challenge:
Information et Société Numérique
Partners:
CNRS
PULSALYS
Funding Institution:
REGION AURA
Dates - Duration:
2021-03-01 00:00:00 to 2026-09-01 00:00:00
Funding:
194854
Contact:
veronique.eglin@insa-lyon.fr
Chapo:
Ressentir, voir, entendre : interroger la sensorialité dans des documents d’archive
Submitted by Samia Sbaa on Wed, 04/27/2022 - 13:50
Keywords:
ENERGY-EFFICIENCY
MACHINE LEARNING
Improve the robustness and the energy-efficiency of Federated Learning
Project Leader:
INSA LYON
INSA’s scientific leader:
Vlad NITU
The interest of tech companies for user's personal data is higher than ever since one of the keys for larger profits are highly personalized services. Starting from 2017, data overpassed oil and became the most valuable resource on earth as five of the world’s most valuable companies now deal in this new black gold's market.
INSA Challenge:
Information et Société Numérique
Funding Institution:
ANR
Dates - Duration:
2022-01-01 00:00:00 to 2025-12-01 00:00:00
Funding:
250786
Contact:
vlad.nitu@insa-lyon.fr
Chapo:
L'intérêt des entreprises technologiques pour les données personnelles des utilisateurs est plus élevé que jamais, car l'une des clés de l'augmentation des profits réside dans les services hautement personnalisés.
Submitted by Samia Sbaa on Wed, 04/27/2022 - 12:51
ARTificial Intelligence on the Edge
Project Leader:
INSA LYON
INSA’s scientific leader:
Stefan DUFFNER
L'objectif de ce projet est de développer des nouvelles méthodes et modèles d'IA pour le "Edge Computing" qui respectent des contraintes de vie privée et qui permettraient d'exécuter des algorithmes d'analyse d'images sur des dispositifs avec peu de ressources, par exemple des caméras intelligentes.
Submitted by Samia Sbaa on Wed, 06/09/2021 - 09:49
Keywords:
BYSANTINE FAILURES
TRUSTLESS SYSTEMS
Project Leader:
UNIVERSITE DE RENNES 1
INSA’s scientific leader:
Omar HASAN
The rise of blockchains over the last decade has attracted growing attention from both academia and industry, leading to the development of several highly-visible systems and algorithms. These blockchain-based systems come, however, with many caveats in terms of performance and scalability, that are inherent to the total order that blockchain algorithms seek to achieve on their operations, which implies in turn a Byzantine-tolerant agreement.
Submitted by Samia Sbaa on Wed, 03/10/2021 - 15:40
Keywords:
INTERFACE LUDIQUE D'APPRENTISSAGE
RECONNAISSANCE AUTOMATIQUE DE L'ECRITURE
Project Leader:
SOCIETE AMI
INSA’s scientific leader:
Véronique EGLIN
STUDY, plateforme innovante d’accompagnement et d’apprentissage de l’écriture pour l’enfant, reposant sur le triptyque : entraînement régulier, analyse du tracé, apport de nouvelles technologies.
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