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SYnchronized Low power Versatile Acoustic Network Including Artificial intelligence – SylvanIA
Despite ambitious targets at reducing biodiversity loss, assessing these changes remains an epic challenge. A better monitoring of ecosystems remains the only solution. Acoustic passive monitoring is getting popular to sample different groups of vocal wildlife. However these tools remain limited as
Motion Integrated AI-based Cardiac MRI Reconstruction – MEDICARE
The overall goal of developing a Motion-Integrated AI-based cardiac reconstruction technique will be achieved through the following four sub-objectives: • Develop accelerated AI-based MRI reconstruction that incorporate uncertainty modelling into the analysis to enhance the trustworthiness of imag
Socio-Ecological Approach of Dog-borne zoonotic diseases in Southeast Asia – SEA-dog-SEA
The general objective of SEA-dog-SEA project is to collect and analyse new epidemiological, ecological and social data on dog-human relationships in rural and semi-urban areas in three countries in SEA, in order to design improved awareness, surveillance and control programmes of major dog-associate
AI by / for Human, Health and Industry – AIby4
The four founders of i-Site NExT (University of Nantes, Centrale Nantes, INSERM and CHU) are working on a roadmap to structure AI for Nantes aligned with the objectives of NExT (Future Health & Industry). The shared vision encompasses two levels: 1) develop own research in interdisciplinary manner t
Artificial intelligence, by the University of Bordeaux – AI by UBx
AI by UBx is a proposal of the University of Bordeaux built conjointly with the center Inria Bordeaux-Aquitaine to accelerate the ongoing development of Bordeaux as an AI reference center thanks to a proactive policy to attract national and international talents in innovative Ph.D tracks. The overal
Toward Intelligent Adaptable Robots for Agriculture – Tiara
The use of robotics in agriculture appears as a lever capable of supporting the necessary reduction of the environmental impact of human activities, while maintaining production levels compatible with a growing world population. The necessary reduction of chemical products indeed requires the develo
Advanced Machine/Deep learning for Heterogeneous Large scale data – AML-HELAS
Professor M. Vazirgiannis is involved in data science research since the 1990’s, worked in different research areas of this domain maintaining significant scientific impact. He established and leads the Data Science and Mining group at LIX/École Polytechnique (ÉP), being active in attracting signifi
Control of gyration and reverse gyration machineries – CtrlAltGyr
DNA topoisomerases are essential enzymes regulating in DNA topology during DNA replication, transcription, repair, recombination, chromosome segregation and genome stability. If most topoisomerases relax supercoiled DNA, gyrase and the reverse gyrase, are uniquely able to introduce supercoils into D
Mitochondrial probes for investigating the impact of inhaling ultrafine pesticides particles on oxidative stress, cardiometabolic dysfunction and insulin resistance, combined with new devices for atmosphere-mimicking aerosols generation – MITODIAPM
Many studies have evidenced that peaks of air pollution are a cause of mortality in humans by promoting cardiovascular and pulmonary diseases. While the many consequences of acute intoxication with high levels of pesticides, carbon particles or metal derivatives are well documented, the more subtle,
Simulating prehistoric humans behaviors in their palaeoevironnements for investigation – SCHOPPER
The SCHOPPER project includes 4 French partners and 2 foreign around a common challenge: creating innovative technology solutions for developing behavioral research through the pooling of existing tools, data and know-how: · the CERP database that stores 51 years of excavations on a Paleoli