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Study of the Volatile Communication in Petunia relying on sesquiterpenoid-induced karrikin pathway – VOLCOM
Plants use their ability to produce volatile organic compounds (VOCs) to communicate with their environment. they are also targets of VOCs released during plant-microbe and plant-plant interactions and within-plant self-signaling. In Petunia, we previously described that sesquiterpenoid VOCs are e
Generative Modeling of Anatomy for Quantification and Medical Image Segmentation – AnatomIA
Anatomical digital twins derived from medical images are key enablers of computer-aided diagnosis or prognosis, treatment planning or subtype discovery. We posit that recent advances in generative AI (diffusion models, LLM-like models) will bring about significant benefits towards better image-based
AI-Enhanced eDNA Solutions for Comprehensive Marine Biodiversity Monitoring and Reporting – ADNeIA
Human-induced pressures and climate change are having profound and growing impacts on marine ecosystems, making the continuous monitoring of biodiversity and ecological status increasingly vital. Effective monitoring requires the development, modeling, interpretation, and mapping of ecological inven
Supernova Cosmology Inference – SCInf
The standard model of cosmology is confronted to two serious tensions: the current expansion rate is measured 5s faster than expectations given early cosmic age data (e.g. CMB) ; the dark energy equation of state parameter deviates at the 4s level from what is expected for a simple cosmological co
EXploitation of planT wastes as a sustainable souRce of Anti-inflammatory Compounds for Therapeutics – EXTRACT
Chronic inflammation is associated with a broad spectrum of diseases. To combat this complex process, there is today a renewed interest in medicinal plants. It is however important to diversify biological resources in order to avoid any risk of depleting the widely used native European plants, like
Tolérance à la sécheresse et à la chaleur chez les plantes grâce à la conception d'ARN longs non codants assistée par l'IA – DHARP
Rice is one of the most important food crops globally, but its productivity is highly vulnerable to climate change, especially to increasing episodes of drought and extreme heat. These stresses often occur together and have a significant impact on yield and food security. While traditional breeding
Physical and Intrinsic Security of Embedded Neural Networks – PICTURE
Today, a major challenge in Machine Learning (ML) is edge-deployed models and more particularly neural networks in a large variety of embedded platforms with high interests shown on porting deep neural networks (DNN) for inference purpose. Many reasons explain the direct use of neural networks on ed
Knowledge transfer strategies, networking and public engagement for a successful mitigation of risks induced by aquatic pollutants – AquaticPollutantsTransNet
AquaticPollutantsTransNet will foster the knowledge transfer and exchange from local to European scale and beyond. It supports the AquaticPollutants projects to create synergies and to maximize impacts of their research results through collective strategic dissemination, exploitation and communicati
Social Networks for Natural Disaster: Operational Interpretation – ReSoCIO
Two-thirds of French municipalities are considered to be exposed to natural disasters. Flooding is the most frequent risk, while seismic risk is among the most feared in terms of potential victims. This situation is likely to worsen in the coming decades, due to the combination of an increase in the
