Le mandat sera: o D’analyser les données d’engagement (sondages et actions entreprises par les gestionnaires quant à l’engagement de leurs employés) o De rencontrer des gestionnaires pour identifier et comprendre les freins, défis et enjeux auxquels ils font face, ainsi que leur point de vue quant au passage à l’action et le suivi en continu. […]

Galmed is creating leading edge medical image processing technology that exploits machine learning to empower physicians and improve patient care. The success of our algorithms depends on the availability of high-quality data, which in our current study means working with chest x-ray images (CXRs) that are accurately labeled with the findings that a radiologist would […]

Industry 4.0 is the digitization of a company’s physical assets and the company’s integration into digital ecosystems with its value chain partners, from suppliers to customers. It uses smart technology and the use of real-time data to increase flexibility, customization, efficiency and productivity, and to reduce time, costs and innovation cycles. This project will focus […]

Seniors take many medications during their lifetime. As seniors age, some of these medications may become unnecessary or even harmful. The process of stopping a medication that has the potential to cause more harm than benefit is called deprescribing. Physicians are more in the habit of prescribing than deprescribing, even though patients like the idea […]

Seniors take many medications during their lifetime. As seniors age, some of these medications may become unnecessary or even harmful. The process of stopping a medication that has the potential to cause more harm than benefit is called deprescribing. Physicians are more in the habit of prescribing than deprescribing, even though patients like the idea […]

In Canada while health disparities in Indigenous communities are getting much attention and Indigenous peoples are determining the path to healing using land based knowledge, the approach to health is still holding the reductionist and paternalistic global health philanthropy with the idea of the poor, traditional societies in need of charity and technology for better […]

In Canada while health disparities in Indigenous communities are getting much attention and Indigenous peoples are determining the path to healing using land based knowledge, the approach to health is still holding the reductionist and paternalistic global health philanthropy with the idea of the poor, traditional societies in need of charity and technology for better […]

De nombreuses questions éthiques, juridiques et de politique publique en matière de régulation se posent dans le domaine de l’intelligence artificielle et restent encore sans réponse, celles qui nous intéressent s’énoncent dans le domaine de la santé mentale. En effet, la création des machines d’apprentissage se fait par l’entrée de données massives traduites en algorithme […]

Computer administrators defend enterprises using tools that do not scale to the size of modem networks. As a result, malicious behavior in enterprise networks generally is W1detected, even when attackers do not attempt to be stealthy. One way to improve this situation may be through the application of social network analysis to the computer sectrrity […]

Melanoma is the most lethal skin cancer, accounting for 2% of all skin cancer types, yet approximately 75% of skin cancer deaths. It often evolves from clear skin or existing moles, making it difficult to diagnose at early stage. Besides, the treatment of melanoma is a complex decision making process, which is affected by a […]

Applications of wireless security approaches are increasing in number by the day. One such application is detection and interception of rogue aerial intruders. Drone technology is growing at a tremendous pace and is expected to be a $12 billion industry by 2021. Coupled with this growth comes the increasing threat of rogue intruders disrupting day-to-day […]

Machine learning can be used to predict employee events around retention, promotion or movement. This project explores how to generate better predictions by exploring correlations and exploiting them through features that increase predictive strength. Furthermore, the project explores how to reliably fine-tune the predictive model to a particular data set in the presence of interdependence […]