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Bridging Artificial Intelligence and Neuroscience – BrAIN
Artificial intelligence (AI) with recent progress in statistical machine learning (ML) is currently aiming to revolutionise how experimental science is conducted. In physics, chemistry, biology, neuroscience or medicine, data is now the driver of new theoretical insights and new scientific hypothese
Transdisciplinary Research for Pathways to Sustainability
The call aims at supporting transdisciplinary networks to innovate solutions and/or synthesize positive and negative inter-linkages between the economy, technology, institutions and the environment, climate, biodiversity, health and human well-being. This will support the co-design of sustainable de
« Accelerating CCSU Technologies »
The objective of the ERA-NET ACT is to support R&D projects in the field of CO2 capture, storage and use (CCUS). Its ambition is to tackle the technological, environmental, social and economic challenges required to accelerate the development and the deployment of CCUS. This ERA-NET is la
Signature d’une déclaration conjointe en faveur de la science ouverte par un réseau d’agences françaises de financement de la recherche
Téléchargez le communiqué de presse Dans le prolongement du Plan national pour la science ouverte lancé le 4 juillet 2018 par Frédérique Vidal, ministre de l’enseignement supérieur, de la recherche et de l’innovation, les agences de financement de la recherche nationales - ANR, Anses, Inserm/ANR
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
Bayesian learning of expensive models, with applications to cell biology – Baccarat
Biologists develop intricate models of cells, ecologists model the dynamics of ecosystems at a world scale. A single evaluation of such complex models takes minutes or hours on today’s hardware and fitting probabilistic models to biological data can require millions of serial evaluations. Monte Carl
Co-construction of adaptation scenarios for managing coastal risks in the context of climate change in coastal communities in France and Quebec – ARICO
Against a backdrop of climate change and the concentration of human and built stakes on the coasts, the risks of coastal erosion and marine submersion are constantly increasing, both on the French and Quebec coasts. Projecting these vulnerable areas into a sustainable future is becoming a challenge
Selecting for cooperative crops to develop sustainable agriculture – SCOOP
In agriculture, intraspecific competition is undesirable, since it drives the evolution of traits toward phenotypic values lowering group performance. Plant height is a well-documented example: tall plants win access to light over shorter plants by diverting resources to vegetative structures, which
Towards Sustainability of Soils and Groundwater for Society - Belmont Soils 2021
The goal of this CRA is to produce the necessary knowledge and propose solutions to maintain well-functioning soils and groundwater systems in the Critical Zone through: Better understanding of the long-time dynamics and functions of soils and groundwater, impacts from societal (including econo
Middle Classes, Taxation and Democracy in a Globalized World – MIDDLECLASS
Part 1 explores the methods of redistribution of wealth, with a particular focus on the tax burden weighing on the middle classes. Part 2 aims to estimate the impact of the evolution, both real and as relayed by the media, of the socio-fiscal system on the vote of the extreme right. This analysis wi
