Neuroscience-inspired AI has emerged as state-of-the-art in many machine learning applications. Recurrent Neural Networks (RNNs) are a machine learning tool used to learn patterns in sequential (time-dependent) data which have also been used to model neural dynamics in the brain. Various frameworks have been developed to create RNNs capable of learning from data which have […]

Socio-emotional skills are crucial for developing satisfying relationships; failure in this domain can have significant consequences for well-being across the lifespan such as bullying, social anxiety and isolation. However, no well-validated socio-emotional assessments exist, limiting our ability to effectively intervene. The Paediatric Evaluation of Emotions Relationships and Socialisation (PEERS) battery was developed by the Australian […]

The perception of external stimuli is traditionally considered to result solely from the processing of thalamic signals through direct cortico-cortical connections between areas organized in a hierarchical manner1. In this corticocentric view, the potential role of higher-order (HO) thalamic nuclei that are reciprocally connected to cortical areas is not considered. The main objective of this […]

Neuromorphic computing is an approach to artificial intelligence (AI) that uses hardware elements inspired by the components of the brain and presents an alternative to the dominant von Neumann computing paradigm based on digital hardware. Recently, nano-scale devices known as memristors have been identified to offer area- and energy-efficient solutions when used in neuromorphic computing […]

While most people get drinking water through underground water pipes, in some areas these pipes only provide water for a few hours each week. Globally, more than one billion people are served by these “Intermittent Water Supply Systems (IWS)”. In severely degraded systems, keeping pipes empty most of the time can reduce leakage and conserve […]

Data acquisition at scale implies missing values: in the biological signals as well as in the demographics and questionnaire data. These missing values are structured –missingness appears as blocks– and often causal –more missing health information for lower income individuals. While there are many works on the treatment of missing values in the clinical trial […]

Duchenne Muscular Dystrophy (DMD) is a genetic disease that causes skeletal muscle degeneration. As the disease progresses, the affected individuals lose their ability to breathe and walk. Currently, there is no definitive cure for this disease. Previous research found CD82, a protein expressed on the surface of skeletal muscle cells, to be decreased by 2.5 […]

L’objectif de cette recherche est d’identifier et de problématiser les facteurs qui influencent l’efficacité de la politique nationale d’inclusion financière. Cette politique publique a été récemment mise en œuvre par le gouvernement mexicain pour lutter contre les inégalités d’accès aux services financiers qui affectent les individus et les entreprises. La recherche vise à établir le […]

Internationalization is a key aspect in strategic planning of most of top universities across the globe. This proposal aims to collect documents and observe (institutional ethnography methodology) two winter courses promoted by the “Universidad Nacional del Litoral” (UNL, Argentina). Winter courses are a milestone in the internationalization process of the UNL and interestingly they are […]

To share music with others can prove to be a challenge. Throughout time, humans have managed in different ways. First, it was transmitted orally. The downside of it is that the receiver must be physically present in order to capture the information. With the apparition of musical notation around 1400 BC, the previous requirement is […]

Selon les théories développementales du risque suicidaire, les évènements précoces (début de la vie) peuvent avoir un impact considérable sur le risque suicidaire à long terme. Ce projet contribuera à la compréhension de l’impact des facteurs précoces sur les comportements suicidaires à l’adolescence en utilisant des techniques novatrices de machine learning sur les données de […]

Ce travail de thèse, mené en cotutelle entre le laboratoire IMS (Univ. Bordeaux) et l’UMI CNRS LN2-3IT (Univ. Sherbrooke), concerne le développement d’un capteur optique de polluants afin de détecter des traces de métaux lourds ou pesticides dans l’eau. Le capteur photonique intégrée réalisé en oxynitrure de silicium (SiON) sur substrat de Silicium, se base […]