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A New Data Paradigm: Intelligent and Self-Managed Data – SKYDATA
Nowadays, who controls the data, controls the world or at least the IT world. Usually Data are managed through a middleware, but in this project, we propose a new data paradigm without any data manager. We want to endow the data with autonomous behaviors and thus create a new entity, so-called S
A PAC-Bayesian Representation Learning Perspective – APRIORI
The main objective of the APRIORI project is to bridge the gap between representation learning practices and theory. To do so, we adopt the perspective of a theory in machine learning called «PAC-Bayesian theory«. This theory is known to provide theoretical guarantees on models that are expressed as
A Visual Memory Network for Scene Understanding – AVENUE
People visually interpret any new environment, interact with, and navigate it almost effortlessly. Despite significant progress, this level of visual intelligence has not been achieved by artificial systems. Project AVENUE aims to address this through a visual memory network for human-like interpret
A citizen science network for monitoring nocturnal migration in birds – VOLDENUIT
France lies at the crossroads of several major migration routes for Eurasian birds. Of the 320 species that regularly fly over the French territory, almost two-thirds move partially or even exclusively at night. This phenomenon of nocturnal migration remains relatively understudied to date, while at
A deeper insight on water use in plants thanks to portable MRI – DISRUPTOR
Terrestrial ecosystems play a key role in carbon sequestration. To trap carbon, plants need water. To do so, plants absorb water through their roots, which is then transported through the xylem to the leaves where sugars are synthesized from carbon dioxide during the photosynthesis. A tight coupling
A high content screening platform for live imaging and deep learning-assisted quantitative assessment of 3D cell culture models of hepatotoxicity – DEEP-HEPATOSCREEN
3D cell cultures have become the gold standard in cell biology. By recapitulating the functions and the cellular architecture of tissues in a miniature version, they represent a good alternative to animal models and have promising applications in regenerative medicine, cell therapy and toxicology. Y
A lock on T Cell factor activity: from the protein complex conformation to its biological impacts on the Cerebellar Upper Rhombic Lip – LockOnURL
The cerebellum is vital in all jawed vertebrates for motor control and higher cognitive functions. Cerebellar neurons arise from two main germinative niches: the ventricular zone and the upper rhombic lip (URL), a specialized tissue with neural stem cell (NSC) niche properties. Recent studies have p
A new Bayes-Duality principle for adaptive, robust, and life-long learning of AI – BDAI
Our goal is to develop new methodologies to enable adaptive, robust, and life-long learning of Artificial Intelligent (AI) systems. Deep-learning methods currently are not adaptive and robust, e.g., new knowledge cannot be easily added in trained models and, when forced, the old knowledge is easily
A new French Rare Eye Diseases Database (FREDD) for Retinitis Pigmentosa phenotype/genotype research: RaReTiA a pilot Artificial Intelligence project
Le projet RaReTiA est un projet porté par l’Institut national de la santé et de la recherche médicale (INSERM) dont toutes les parties prenantes sont situées en France. Ce projet, qui a une durée de 4 ans, vise à améliorer la prise en charge des patients atteints d'un groupe de maladies rares, les r
A new generation of light sheet microscope: mesofluidics and artificial assistant – Phy-ASA2018
The program of BioEmergences-PhaseView Joint Laboratory (LabCom) is the development of an innovative range of microscopes based on the light sheet technologty (SPIM) that meets the specifications of a new integrative biology. The challenge of the field is to found a reconstruction of multi-level dyn
