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Design of Optimal Online Matching Markets – DOOM
Future markets are going to be online, wide (even international) and the pairing between offer and demand is going to be facilitated, organized, and regularized by some platforms, obviously learning from gathered data, past errors, and successes, in some automatic fashion. Artificial intelligence wi
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
Design of lightweight parts made by wire and arc additive manufacturing – BeShape
As part of this project, we wish to propose and validate a design approach to obtain lightweight parts, taking advantage of the freedoms offered by WAAM processes while respecting the manufacturability constraints and the requirements formulated by the designer. This approach, which must be supporte
Design of plasmonic ALU by Hybrid Artificial Intelligence – DALHAI
The DALHAI project aims at developing compact all-optical Arithmetic and Logic Units (ALU) exploiting the spatial and spectral distributions of 2D confined plasmons modes in planar cavities tailored in ultrathin Au or Ag crystals. Yet, the optimization of the logic gate output contrast, the definiti
Detection of False Data Injection Attacks on the ADS-B protocol in the civil and military air traffic control – DApIA
The DApIA project aims at developing capabilities to detect False Data Injection Attacks (FDIA) using Machine Learning components on air surveillance data from the ADS-B protocol. The objective of FDIA attacks is to corrupt the semantics of the surveillance data while preserving the correct syntax
Detection, assessment ant treatment of chronic thromboembolic pulmonary hypertension
L’hypertension pulmonaire thromboembolique chronique (HTP-TEC) est une maladie vasculaire pulmonaire grave dont la méconnaissance conduit à des diagnostics tardifs et au risque de décès. L'objectif de DESTINATION 2024 est de favoriser le diagnostic précoce, d’évaluer la sévérité et de traiter l’HTP-
Determinants and impact of AI Education – AI-Edu
“The best way to send knowledge from one place to another is to wrap it up in a person”. This famous quote by Robert Oppenheimer depicts the importance of individuals in acquiring and transferring knowledge. Among individuals acting as vectors for knowledge transfer, PhD graduates, a highly educated
Development of Next-Generation Antibiotics Integrating AI-Driven Design with Target Specificity, Permeability, and Synthetic Accessibility – A-IMPACT
The objective of this project is to use artificial intelligence (AI) to identify new antibacterials targeting a complex involved in the synthesis of bacterial peptidoglycans (PGN) and accounting for physiologically relevant microenvironments such as biofilms. Our project is motivated by several
Development of a 3D holographic video microscopy associated with convolutional neural networks (CNN) to identify novel markers of preimplantation embryonic health – LIVE3D_CNN
The aim of this project is to develop a ground breaking holographic label-free 3D time-lapse microscope to follow the development of living embryos directly in an incubator. Our device will measure original physiological parameters to identify new markers of mammalian preimplantation embryonic healt
Development of a brain-computer interface for speech rehabilitation – BrainSpeak
In France, 300 000 people suffer from a strong speech disorder and more than 5 millions worldwide, often following brain strokes but also in case of severe tetraplegia, locked-in syndrome, neurodegenerative disease such as Amyotrophic Lateral Sclerosis or Parkinson’s disease, myopathies, or coma. Th
