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Acoustic detection of start of fires in industrial sites – DAFI
The DAFI project presents the development and the evaluation of a detection system of start of fire in industrial sites, using sound modality. This proposal responds to the RA-SIOMRI call for the project, within the framework of the axis 1, by providing an operational and technological response to r
Spintronic Ising Machine – SpinIM
Context: The evolution of the modern information and communication society, trying to solve computing tasks of ever-increasing complexity and size, is expected to lead to energy consumption that will exceed the world’s energy production by 2040. This increase in energy consumption is related to th
Supply Chain REconfiguraBility for glObal cRises resilieNce – SC-Reborn
The COVID-19 crisis has severely disrupted global supply chains, causing industrial interruptions and slowdowns that will have lasting effects. Companies have generally used “continuity plans” through overstocking or overproduction, but the crisis has shown that “cessation/switching plans” are neces
Design of a versatile in silico fragment-based drug design tool – UniversalF2D
Fragment-Based Drug Design (FBDD) is an approach widely developed and used in academic laboratories and pharmaceutical companies for the past twenty years. Nowadays, several drugs approved by the FDA or advanced in clinical trials were discovered from FBDD. To go further and gain in time and efficie
Predictive Boolean Network Ensembles – BNeDiction
Bridging the gap between dynamical systems and their partial observation, computational models of biological processes aim at uncovering key mechanisms driving cellular dynamics, and ultimately predict their behaviour under unobserved conditions. Computational models of molecular interaction networ
SPATIAL CONTROL WITH HEXAMERIC PROTEIN PLATFORMS – SPACEHex
Synthetic biology continuously demands the development of novel biotechnology tools for the optimization of engineered metabolic cascades. This, in part, can be tackled by optimizing the three-dimensional relative emplacement of designed enzymes. SPACEHex seeks to develop novel protein-based platfor
Segmentation of Neurons using Standard and Super-Resolution Microscopy – SENSEI
Accurately mapping the brain at the micro- and nano- scale is a challenge in cellular neuroscience. In the light of this challenge, SENSEI will deliver novel image processing tools along with innovative imaging modalities dedicated to advancing breakthroughs in 3D neuronal segmentation and morphome
Fast inference with controlled uncertainty: application to astrophysical observations. – SHERLOCK
SHERLOCK is targeted as a balanced research and training project. Its originality lies in 3 main motivations: a promising research project in AI with interdisciplinary applications in astrophysics and chemistry, an ambitious training program connected to high-level research-oriented master programs,
Adaptive introgression in Pearl Millet – PEMILADAPT
Understanding how species adapt is paramount to biodiversity. Species/populations adaptive potential largely depends on their genetic variability, which relies either on standing genetic variation or on de novo mutation. However, if rates of environmental changes are too rapid, occurrence of de novo
Anticipating, deciphering, imicking molecular complexity of natural substances – ANTIDEPRIM
The project is structured in three «layers of knowledge« (cf title of the project) and aims to compare and analyze them in the era of «-omics« and megadata. The «field of possibilities« is explored by powerful anticipation tools invented in the consortium; biosynthetic pathways, results of evolution
