Data Drift Detection and Monitoring

When a previously trained machine learning model is put into production, the production phase begins where said model makes predictions on the inputs provided to it. When the distribution of production data changes over time, we talk about data drift. Then the model is likely to become less efficient, or even obsolete. The project consists […]

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Développement d’une méthode non-supervisée d’apprentissage profond pour la détection de défaillance à partir de signaux acoustiques et vibratoires

L’objectif du projet est d’automatiser la reconnaissance des signaux acoustiques et vibratoires a l’aide d’un modele d’apprentissage profond. Cette reconnaissance est la premiere etape du developpement d’un modele de pronostic et de suivi de !’evolution de la degradation des alternateurs. Ces signaux sont issus de mesures effectuees periodiquement sur les alternateurs durant leur fonctionnement. Les […]

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An automatic syringe filling system that uses robotic arms controlled by deep learning algorithms to help pharmacy technicians with their tasks

In certain scenarios, in the hospitals, oral medications need to be administrated in a liquid form using syringes in order to avoid complications such as asphyxiation due to the blocking of airways, which is common in children. Consequently, a pharmacy technician may need to fill up hundreds of syringes per day for different units at […]

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Salon S.O.S

The chosen candidate will have 2 main mandates: 1) create an innovative business development strategy to reach the food and beverage industry. We have a unique app that can help those industries reinvent themselves and improve customer engagement and retention. We need a creative way to penetrate this market to gain awareness and deliver real […]

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Consistent and robust Generative Models for Volatility Surfaces

Implied volatility surfaces are a key concept in financial markets, central to the pricing, risk management, and regulation of financial instruments. Despite their importance, numerous mathematical questions about implied volatility surfaces still confront practitioners and regulators today, such as how to fill in missing values in a given surface. Previous MITACS-sponsored work has shown that […]

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Understanding market trends to support product innovation in the cannabis industry

In this project the intern will Analyze Canadian competitors across provinces using various tools/frameworks. The intern will Review the illicit market and present recommendations on opportunities. The intern will review and analyze Auxly’s existing social listening tools (ie Meltwater) as well as develop and leverage additional online research tools (ie Web scraping). He will also […]

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AI for Extraction of Biomedical Signals from Headphones

In an age of so many new wearable devices, e.g., smartwatches, glasses, rings, clothing, and so on, headphones can be recognized as the first widely adopted wearable device. They have been around for more than a century and have been used mostly as an output device for listening to music, or, in the recent decades, […]

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COGNI-ACTIF: apprendre en bougeant, un jeu à prendre au sérieux

Ce projet vise à développer la version bêta du jeu sérieux COGNi-ACTif, un outil technopédagogique qui mise sur la synergie entre le mouvement et l’apprentissage. Ce jeu sérieux est développé par des praticiens et des chercheurs issus de domaines variés (arts numériques, éducation, informatique, kinésiologie et neuropsychologie) dans le but 1) d’augmenter le niveau d’activités […]

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AI-powered SaaS Cybersecurity chatbot

CloudConseils is a startup that offers next-generation cloud security solutions and cloud consulting services. We are focusing on the security, development and migration of cloud applications and SaaS in AWS and Azure. Identifying and remediating cybersecurity issues of Software-as-a-service (SaaS) and cloud-based applications is an essential and expensive task, specifically, for organizations that do not […]

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Projet PLAZA: Évaluation du projet pilote de navettes autonomes sur la rue St-Hubert

Le projet-pilote de navette autonome (et électrique) sur la rue St-Hubert, piloté par la ville de Montréal, représente ainsi une opportunité intéressante de documenter l’expérience des usagers de la navette et les perceptions des riverains par rapport à l’arrivée de ce véhicule sur le réseau routier. Le deuxième objectif vise à étudier les interactions des […]

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Understanding the Lifecycle of Software Innovation in Asia: Partnership Opportunities for Canadian Companies and Researchers

This proposal aims to understand the environment and lifecycle of digital technology development in Asia. Through this internship, with the collaboration of the academic supervisor and the Cansbridge Fellowship, the student will aim to write a review paper that examines the environment and lifecycle of digital tech developments in Asia, and will explore avenues to […]

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