Active learning for visual detection on inspection robots

Robotics vehicles deployed at Hydro-Québec up to now are still mainly manually operated and human intervention is continuously required. The project aims to equip Hydro-Québec’s current and future fleet of inspection robots with autonomous inspection capabilities. The intern will leverage breakthroughs in artificial intelligence to enable robotic vehicles to realize real-time automated visual inspection of […]

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Short term Electrical Load Forecasting

Load forecasting is an essential activity for a company like Hydro-Québec. It is necessary for objectives as varied as the management of production or the management and maintenance of the electricity network. Any significant forecasting error can result in reliability issues, loss of opportunity, or additional costs to the business. On the other hand, a […]

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Monitoring of turbine runner blade strains from indirect measurements using AI

Hydro-Québec has data acquisition systems for a multitude of sensors, some of which have been installed since almost 20 years in its electrical generation equipment (turbine-generator units – TGU). The collected data is primarily used to ensure that the information is adequate in the event of an equipment breakdown or for specific behavioral studies. Data […]

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New molecular representation, molecular generation, and data mining strategies for thedesign of SARS-CoV-2 therapies

The goal of the project is to facilitate the research and development of new drugs using machine learning. More specifically, exploring new techniques to model molecules and how they can be represented. Doing so will involve training deep learning models on multiple small datasets with the objective of improving the generalization performance on new tasks. […]

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Automate key elements of the patient journey in the Medical Context

Dialogue is a virtual healthcare provider targeted towards the corporate environment. The service promotes employee wellness and productivity by connecting users to qualified healthcare professionals through an online or mobile application. The Dialogue service is increasingly being enhanced by AI techniques to improve user experience and streamline the procedure. These improvements include: • A Natural […]

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Decentralized Deep Radiomics: Scaling up the discovery of prognostic and predictive cancer imaging biomarkers from routine clinical data across a network of hospitals

Genetic advances over the past 10 years have led to the development of several targeted therapies for lung, breast and colon cancer. However, there are a number of factors that limit the optimal use of these innovations, including the high cost of the organizational process associated with molecular testing, and their late use in the […]

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Cyber-résilience des institutions financières : identification des vulnérabilités et sensibilisation en matière de compromission des identités

Le projet de recherche ci-présent traite de la compromission des identités des clients et des employés au sein du secteur financier et se focalise plus spécifiquement sur trois moyens qui s’y rapportent : l’hameçonnage, le « credential stuffing » et le « password guessing ». Le projet a comme objectif de prévenir ces cyberattaques par […]

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Collection and transcription of a corpus of aphasic speech for the development of a prototype of an intelligent communication aid application

Aphasia is an impairment of language caused by an injury to the brain. Word finding difficulties often accompany aphasia and can persist even after intensive speech therapy, having a negative impact on the person’s social participation and quality of life. Today’s communication aids can improve the ability to effectively communicate but findings from focus groups […]

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Design and development of pharmacological chaperones to restore function to MC4R mutants responsible for severe early-onset obesity.

“Melanocortin 4 receptor (MC4R) is a is a G protein-coupled receptor (GPCR) and key regulator of energy homeostasis. MC4R mutations represent the largest monogenic cause of obesity, resulting mainly from receptor misfolding and intracellular retention by the cellular quality control system. The efficacy of several lead compounds on restoring the cell surface expression and function […]

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Design and development of pharmacological chaperones to restore function to MC4R mutants responsible for severe early-onset obesity. – Year two

“Melanocortin 4 receptor (MC4R) is a is a G protein-coupled receptor (GPCR) and key regulator of energy homeostasis. MC4R mutations represent the largest monogenic cause of obesity, resulting mainly from receptor misfolding and intracellular retention by the cellular quality control system. The efficacy of several lead compounds on restoring the cell surface expression and function […]

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Applications de l’apprentissage statistique en assurance voyage

Ce projet de recherche est fait en collaboration avec le département de Recherche et Développement de la compagnie Optimum Réassurance Inc. Il a pour but de faire usage des concepts et des outils d’analyse prédictive, de l’apprentissage automatique et statistique pour développer des méthodes de modélisation et de prédiction des réclamations et des comportements des […]

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Les pratiques juridiques controversées dans le regard des praticiens (notaires)

Une partie des coûts de la justice est attribuable à des pratiques situées aux limites de la déontologie professionnelle : rapport collusoire entre praticiens, multiplication des dépenses douteuses, honoraires abusifs, exploitation de l’ignorance des justiciables, engagement dans des procédures qui auraient pu être évitées par un recours judiciaire à la Conférence de règlement amiable, introduction […]

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