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Constrained Semantic Web of Things – CoSWoT
Constrained Semantic Web of Things
Mixed Musical Reality with Creative Instruments – MERCI
Improvisation is a primary driver of human interaction in all aspects of communication and action. This project proposes to radically renew the paradigm of improvised human-computer interaction by establishing a continuum from co-creative musical logic to a form of «physical interreality« (a mixed reality scheme where the physical world is actively modified) anchored in acoustic instruments, the «creative instruments«.<br /><br />Translated with www.DeepL.com/Translator (free version)
Can marine protected areas alleviate poverty in the context of land desertification? – MPA-POVERTY
The impacts of future climatic conditions on agriculture and marine fisheries are expected to be widespread, complex, geographically variable, and mostly unfavorable, particularly in tropical countries where human development and health are of serious concern. Here we hypothesize that coastal towns and villages close to marine protected areas can better alleviate poverty in the context of land desertification than their counterparts without any management action on nearby marine ecosystems.
LEArning neural networks with FLExible nonlinearities by Tensor methods – LeaFleT
fundamental tool for solving various artificial intelligence tasks, such as supervised and unsupervised
Planning and Learning to Act in Systems of Multiple Agents – plasma
The main idea presented in this proposal is that it is possible to reduce a multi-agent decision-making problem (such as a partially observable stochastic game) to a fully observable stochastic game, which is solved using generic algorithms based on recent advances in Artificial Intelligence. We focus on generic methods with theoretical guarantees since they are of particular interest in safety-critical systems that can affect human lives.
Mathematics of Stochastic and Deterministic Optimization for Deep Learning – MaSDOL
Machine learning and artificial intelligence are rising themes of research because they have been considered as one way to produce new methods for solving striking challenges in language understanding, advice finding, signal processing, fraud detection. The explosion of datascientist jobs is certainly an evidence of the societal, economic and scientific impact of artificial intelligence. The cornerstone of ML is the use of applied mathematics and in particular, statistics and optimization.
The evolution of extended phenotypes and associated signals in animals : weaverbirds’ nests and sexual selection as a case study – EXTENDEDPHENOTYPE
Extended phenotypes are traits produced outside the body of the individual which carries the genes coding for their expression. While the evolution of many extended phenotypes may have initially been favoured by their protective function, many appear also to serve as sexual signals. We propose to work on one of the most spectacular and diverse radiations of extended phenotypes, the intricate and complex nest architectures of weaverbirds (117 species).
Prospect FD : development of an aid decision-making tool for the prospection of vine Flavescence Dorée – Prospect FD
The Prospect FD project proposes to combine different techniques (imagery, artificial intelligence, information systems, precision viticulture and human expertise) for the detection of flavescence dorée. It relies (i) on a choice of sensors embedded on harvesting machines, (ii) on a data infrastructure that makes it possible to centralize, process and make available the information captured, (iii) on a geographical application (Decision Support System) presenting all information to experts.
TopAI: Topological Data Analysis for Machine Learning and AI – TopAI
approaches in Machine Learning (ML) and Artificial Intelligence (AI) going from mathematical foundations to
Predicting and detecting anomalies in a moving crowd without interruption – OKLOS
in image / video processing and in Artificial Intelligence, develops algorithms for the analysis of crowd