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Next-generation phenotypic screening for oncological applications
Les tumeurs sont des écosystèmes composés de différents types de cellules (cellules malignes, cellules stromales + sous-populations de leucocytes) engagées dans des synergies complexes (et parfois des antagonismes). En nous basant sur notre expérience dans l’observation par vidéo-microscopie à fluor
Nicotinic modulation of behaviors motivated by natural rewards – NIMONAR
The ventral tegmental area (VTA) is a critical brain region involved in processing reward-related stimuli and plays a pivotal role in various neuropsychiatric disorders, including addiction. VTA dopaminergic neurons transition from tonic to burst firing mode in response to sensory cues predicting re
No conventional imagery for secure urban mobility – ICUB
-Demonstrate that the analysis of road scenes by current methods is not efficient in bad weather conditions -Propose a sensor technology based on polarimetric vision and associated AI algorithms for : -Road scenes analysis in bad weather conditions -Estimating the distance of detected road obsta
Non Invasive Device assessing Pharyngo-Laryngeal Effectiveness – PhLEs-NID
The PhLEs-NID project proposes to develop a non-invasive device in response to the problem of swallowing disorders. This device will combine several sensors capable of detecting different types of signals related to pharyngolaryngeal functioning. Thanks to their treatment by artificial intelligence,
Non-conventional, intelligent, on-board radar imaging for postural analysis – SmartGaitLab
One of the major societal challenges facing the world between now and 2040 is the exponential ageing of the population [1]. In view of this public health problem, it is becoming essential to develop new technologies for early detection and to accompany them with a prevention plan, to keep elderly pe
Nonlinear photonic lanterns for spiking neural networks – NOLANN
Spiking neural networks (SNN) are bioinspired computing paradigms that enable machine learning with sparse and limited training data. In a novel approach, we investigate photonic platforms that would permit the realization of high optical SNNs, leading to parallelized, ultrafast and energy-efficient
Normative Artificial Intelligence for regulating MANufacturing – NAIMAN
The digital transformation of manufacturing industries provides a nurturing environment for the adoption of more autonomous and (self-)adaptive technologies that can quickly and flexibly respond to endogenous and exogenous changes, while being transparent and complying with sustainable regulations.
Notifying Memories for Dynamic Data-Flow Application – Nooman
In systems on a chip, memory has long taken on a role which it was not designed for: to ensure synchronization between different tasks, whether in a single-processor context in the past, or multi-processor today, by storing the variables needed to implement the synchronization primitives. There are
