Improving Anti Money Laundering through Active learning Methods

Fighting against financial crime is a battle that humanity is losing as a whole. Money Laundering is the critical component of any criminal activity that needs to be profitable. Therefore, fighting money laundering is fighting against all crimes including terrorism, human trafficking, drugs and wildlife trafficking. The United Nations (UN) estimates 2 trillion USD is […]

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Question Answering over Long Clinical Documents

In traditional claim processing system, adjusters or claim handling specialists need to read massively number of medical reports like diagnosis report, medical assessment, prescription daily for different types of decision making. Such a manual review process is time-consuming and tiring, which causes slowness in serving claimants and consequently unpleasant customer experience. In the digitalization era, […]

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Développement des modèles de classification et de prédiction en utilisant les techniques d’apprentissage machine sur les paramètres physiologiques pour le triage des patients durant les situations de catastrophes (VIMY Multi-system)

Ce stage s’inscrit dans le cadre du programme de recherche, VIMY, VIMY, un multi système de soins intensifs déployable sur le terrain capable de gérer de nombreux blessés. Il repose sur une capacité d’intelligence artificielle composée principalement de capteurs, de systèmes d’acquisition de données, de systèmes interactifs automatisés et d’algorithmes qui aident au processus décisionnel. […]

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RevMate: Towards an optimized review process in AAA game development

In software development, code reviewing is an essential code validation step during integration [1, 2]. When developers submit their code for review, human reviewers need to validate the changes made to source code and other artifacts (e.g., data files, artifacts created by artists). This review process can go through several iterations in which the reviewers […]

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Développement d’une méthode de tokenisation du génome des cancers

Ce projet vise à transformer la prise en charge des patients atteints de cancer en combinant l’intelligence artificielle et l’analyse du génome. En utilisant des techniques avancées d’apprentissage automatisés, nous allons développer un modèle novateur de tokenisation du génome des cancers, permettant d’identifier rapidement les marqueurs génétiques associés à la maladie. En parallèle, nous allons […]

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Analysis of the National Chiropractic Mental Health and Wellness Survey

The public greatly depends on a country’s health care providers to be sufficiently healthy to deliver care themselves. When the wellness of health-care workers suffers, then the health of the public at large is put in jeopardy. This project represents a ground-breaking collaboration between the Canadian Medical Association (CMA) who created a comprehensive mental health […]

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Redesigning Transformer Neural Networks for Data-Efficient Breast Cancer Diagnosis

Transformer neural network models have achieved state of the art results in many areas of machine learning, including natural language processing (e.g. BERT, GPT-3) and computer vision (e.g. ViT, SAM). However, to achieve these results currently requires extremely large training datasets which are not available in every domain. One such domain is medical imaging, in […]

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Synthetic Image Generation for Training and Testing DNN-based Anomaly Detection Systems

Deep neural networks (DNNs) are increasingly employed in vision-based systems, extending well beyond self-driving vehicles. With the rise of the Internet of Things (IoT) and distributed vision sensing, vision-based systems have found diverse applications across various domains. These include detecting hazards on work sites and anomalies in critical infrastructure, utilizing, for example, video and image […]

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Implementing advanced customer labeling techniques in e-commerce recommender systems

The intern will work on a research project aimed at enhancing the shopping experience for customers on Air Liquide Canada’s website by developing a personalized recommendation system. The intern will explore and apply advanced ML techniques to leverage new sources of information such as textual descriptions and user characteristics, which will help better understand customer […]

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New/Mode Electoral Representative Data Aggregation

New/Mode is a Canada-based social enterprise that facilitates communication between elected representatives and their constituents on the behalf of progressive NGOs. This project will bring novel machine learning technologies to bear in an effort to improve accuracy and efficiency in the maintenance and evolution of a repository of contact information for these elected representatives.

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MyHomie

The proposed project aims to commercialize our innovative real estate platform, MyHomie, by launching the V2.0 version to achieve product-market fit. Our larger goal is to develop an automated process that allows homebuyers and sellers to transact with just one click. We understand that this is an ambitious objective, but we believe that it is […]

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