Development of a distributed framework for deep learning models

Layer 6 powers the AI use cases for a variety of banking and financial applications at TD Bank. The goal of the research project is to improve the AI engine by having the training more efficient and distributed among a variety of clusters. The AI engine will allow models to be trained faster and with […]

Read More
Feature Search using Automatic Machine Learning

This research project focuses on developing an automated system to search and analyze time-series tabular features in the financial institution’s machine learning pipeline. The goal is to identify relevant features and improve efficiency in the decision-making process. The project will begin by prototyping a system to support automated feature search patterns and researching feature search […]

Read More
Intact : Évaluation de l’incertitude en tarification

La mesure de l’incertitude dans les prédictions est considérée clé pour prendre des décisions informées à partir des données. Ceci améliore également la transparence et la confiance dans les prédictions d’un modèle. Ceci peut également influencer le design expérimental et la balance entre l’exploitation d’une solution et le besoin d’exploration et de collecte de données […]

Read More
PaceZero BSI 2023

PaceZero – Impact Due Diligence Framework Development. This project will further develop an Impact Due Diligence process map for Impact measurement analysis.

Read More
Westland Insurance Group – Communication, Learning and Development and Project Technology

Westland Insurance has grown into one of Canada’s largest independently owned insurance distribution businesses. Our head office is located in Surrey, British Columbia, and we have over 190 locations across Canada. This internship project will involve identifying the best local and national practices around customer experience and relationships, financial analysis, employee learning management and technical […]

Read More
Télédétection de caractéristiques de bâtiments à partir d’imagerie aérienne haute résolution

L’imagerie aérienne offre de nombreuses opportunités en assurances: simplification de la souscription grâce à la complétion automatique de champs, amélioration de l’indemnisation grâce à des images post-catastrophes, raffinement de la tarification grâce à l’obtention de nouvelles données sur les caractéristiques physiques d’un lieu, etc. Cependant, l’utilisation de ce type de donnée pose plusieurs défis techniques. […]

Read More
Experimental Characterization of Thin-Film Piezoelectric Layered Polymers under Mechanical Deformation

Thin-film polymer substrate that have piezoelectric layers are promising for a variety of applications, including micro-electro-mechanical systems, mechanical energy harvesting, and flexible electronics with security features. This study proposes a detailed approach for understanding how these flexible structures behave under different mechanical loads, using a comprehensive experimentation. This research mainly focuses on characterizing the electromechanical […]

Read More
Mathematical Models in Algorithmic Trading

On June 1, 2021, Futures First Canada and FinML began a pilot collaborative project involving three Canadian universities by-way-of a MITACS Accelerate internship (IT25712) to jumpstart an initiative to use cutting edge techniques in machine learning, financial mathematics and AI for making predictions in financial markets. This goal is integral to the business operations of […]

Read More
Rebuilding Stronger Homes

As extreme weather events become more frequent, home insurance claims are rising. These losses undermine Canadians’ financial security and emotional well-being. Collaborating with Innovation North, Co-operators will reimagine the role of home insurance to catalyze a circular economy. This research will not only contribute to the very practical outcomes of catalyzing change within the insurance […]

Read More
Proportion-Based Hypergraph Burning

Graph burning is a mathematical game or process that has applications in financial cyber security, as it can be used to model “dirty money” spreading throughout a network of accounts. Hypergraph burning is a similar process that is played on a more complex network-like structure called a hypergraph. We investigate an alternative rule set for […]

Read More
AI-based virtual assistant for the insurance industry

The insurance industry is a competitive sector that is expected to account for 3.1 percent of Canada’s Gross Domestic Product in 2021. Leading insurers are investigating how machine learning (ML) may enhance company operations and customer satisfaction as clients become more selective about personalizing their insurance purchases to their particular needs. AI chatbots have the […]

Read More