Tabular data extraction for financial disclosure analysis

Material Legal Technologies is a full-stack technology based legal advisory service that seeks to streamline the last mile in narrative public disclosure, in addition to developing various technological tools to alleviate friction in corporate governance. This project aims to elevate our existing ML tooling to state-of-the-art in terms of recent research advancement, specifically helping with […]

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Umaneo : Détection de défauts en 3D grâce à l’Intelligence Artificielle

Umaneo : Détection de défauts en 3D grâce à l’Intelligence Artificielle Principales activités du partenaire et avantages escomptés du projet : Umaneo est spécialisé dans le développement de solutions d’intelligence artificielle sur mesure. L’équipe d’experts et d’ingénieurs en IA d’Umaneo intervient à chaque étape du processus, du conseil stratégique à la mise en oeuvre de […]

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Segmented Seal Project

This research seeks to improve gas turbine engine components, focusing on dynamic seals that withstand extreme conditions, such as high temperatures, pressures, and abrasive particles, to enhance aircraft performance and durability. Current carbon-based materials used in seals like segmented seals—designed to prevent oil leakage—are vulnerable to degradation, which can lead to engine damage and costly […]

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Enhancing the Accuracy and Interpretability of Canadian Macro-Financial Tail Risk Forecasts via Multi-Quantile Deep Learning with Feature Engineering to Monitor Systemic Risks at the Bank of Canada

Crises risks are notoriously hard to quantify. Yet, when systemic crises materialize, for instance the Global Financial Crisis (GFC), the cost for the economy and the society can be huge, with protracted recessions and financial hardships for firms and households. Thus, it is essential for public authorities to monitor and proactively address systemic risks, thereby […]

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Algorithms and Software System for Analysis of Twitter Data using Apache Spark

The goal of this project is to develop a software system to collect, store, organize and query Twitter messages, and to develop algorithms that can process the Twitter data to extract value-added information, in particular, the geolocation of Tweets. First, we will design and implement a processing and analytics system for Twitter data using the […]

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System level defenses for Enterprise AI Agents

(1) the main activities of the partner ServiceNow develops a platform for client organizations to manage and automate large-scale processes across various industries. In 2020, ServiceNow acquired Element AI to strengthen its presence in the Artificial Intelligence (AI) research landscape and the Canadian AI ecosystem. This acquisition enabled the development of AI-driven products that improve […]

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Hazelnut alley cropping for the Pacific Northwest

Commercial hazelnuts are a woody perennial crop that requires significant upfront investment. They are typically grown in a monocropped orchard, with bare soil or a closely-cropped grassy orchard floor. Hazelnuts are usually harvested from the ground, meaning that the presence of intercrops is a hindrance for harvest. This results in lower in-field diversity, wasted production […]

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Recommender Systems for Investing

(1) The Desjardins Quantitative Strategies department manages a set of internally developed systematic investment strategies. There are two main products; global equity strategies (developed and emerging countries), as well as alternative strategies using futures on global stock indices, resources, interest rates and currencies. The team owns a proprietary technology platform that has been developed over […]

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Fostering consensus decision-making in collaborative fisheries management

Under the Fisheries Resource Reconciliation Agreement, the Department of Fisheries and Oceans Canada and eight First Nations are working to build consensus in joint-recommendations and decisions regarding fisheries resources in areas of the BC coast. This project contributes to best practices from other Nation-Crown decision-making processes to help us build an informed process to reach […]

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Utilisation de caoutchouc recyclé dans les enrobés et formulation d’enrobés à granulométrie ouverte modifiés au caoutchouc recyclé

Ce projet de recherche consiste en l’étude de l’utilisation de poudrette de caoutchouc recyclés traités pour amélioration du comportant des enrobés bitumineux. L’utilisation de la poudrette de caoutchouc devrait permettre une amélioration du comportement à chaud et à froid des enrobés tout en diminuant la quantité de bitume d’apport, ce qui est très intéressant sur […]

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Immersive Sound Spaces

The principal objective of the MITACS internship project is to develop immersive audio environments to be utilized, evaluated, and studied by the community involved in the “Sensing Differently” SSHRC project, including participants and co-researchers. It will involve designing custom tools for incorporating immersive audio recordings into ethnographic research contexts. These tools will enable “Sensing Differently” […]

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