Search for a funded project
Deep learning and Deep characterization of Peptides for the control of plant nutrition – DeepPep
Nitrogen (N) and Phosphorus (P) are two major nutrients sustaining food production and consequently human population development. However, N and P provision in agricultural systems have detrimental effects on ecosystems mainly because these nutrients tend to leak in the biosphere due to a deficient
Deep learning for automatic image-based biomonitoring of aquatic ecosystems – BIOINDIC-IA
Aquatic ecosystems are facing many anthropogenic pressures, highlighting the urgent need for developing innovative ecological diagnostic tools supporting the selection of robust management responses. Current diagnostic tools are able to estimate the ecological status from taxonomy-based (i.e. list o
DeepCuriosity: Curiosity-driven exploration and curriculum learning in AI with applications to autonomous agents, automated discovery and educational technologies. – DeepCuriosity
The research vision and program of the DeepCuriosity project aim at developing the foundations of a new scientific approach to autonomous artificial intelligence and lifelong machine learning. While deep reinforcement learning has achieved impressive results recently (e.g. in complex board or video
Deeplomatics applied to multiple intrusions in reverberating environment – DAMIER
The illicit or malicious use of drones is a real threat that is currently only partially addressed by anti-intrusion systems. The DEEPLOMATICS project presented as part of ANR-18-ASTRID 0008-03 proposed an innovative, adaptive solution to the problem of intrusion detection on critical sites and infr
Demand-driven innovation assessment in medical and university eco-systems – DInnAMICS
Economists and practitioners recognize the contribution of the university-generated knowledge to economic growth. Academic knowledge plays a central role in generating disruptive discoveries leading to radical innovations. The paths through which university-generated knowledge reaches final users an
Dependability-focused Evaluation of Sensor Networks – MURPHY
Murphy aims at easing the development of dependable and pervasive applications built on top of robust wireless sensor networks, Two national and international partnership have been established. 3 workshops have/are actually organised in addition to scientific publication in international and natio
Describing and Modelling Reference Chains: Tools for Corpus Annotation (including diachronic and comparative language studies) and Automatic Processing – DEMOCRAT
Despite the existence of in-depth descriptions of referring expressions, there does not exist: (i) any integrated description allowing the modelling of reference chains, nor any predictions about their textual behaviour and their typology; (ii) any corpus to apprehend the historical evolution of the
Design and development of an Artificial Intelligence-based decision support system for predicting air quality and determining the health risks of particulate matter – IARISQ
Air pollution and atmospheric particles are major public health issues. The health impact of these particles is well-established, but uncertainties remain regarding the role of their physicochemical characteristics. In this context, the IARISQ project aims to study, design, and develop a decision su
Design and optimization of an energy-efficient RF transceiver to AGGREGATe channels OveR GHz frequencies – AGGREGATE5
The 5th Generation (5G) of communications provides very high-data rates using multiple carrier frequencies simultaneously in the 617MHz to 5GHz band. The main challenge is to carry out a smart aggregation of carriers without increasing power consumption considering the constraints of multi-standards
Design by artificial Intelligence and high throughput data of advanced Alloys and innovative Metallurgical concepts for Structural applications
Le projet ciblé DIAMS vise à mettre en place des infrastructures permettant la conception accélérée d’alliages métalliques pour applications structurales, à élaborer une méthodologie permettant la mise en œuvre de ces plateformes pour l’ensemble de la communauté de la métallurgie française, et à en
