Development of machine learning and artificial intelligence based tools to improve efficiency in financial services – Year two

Our interactions with actors in the financial services industry, including our partner company, uncovered that they possess large amounts of data pertaining to investors and markets, but have yet to extract/learn information of significant value from that data such as expected actions by clients. The industry is conscious of this, but while they are making […]

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Building Information Modelling (BIM) for First Nations Land Planning andInfrastructure Management — Kitigan Zibi Anishinabeg

Working in partnership, Kitigan Zibi Anishinabeg (KZA) and the Carleton Immersive Media Studio (CIMS) propose the development of a novel, hybrid digital platform that brings together the progressive community development initiatives of KZA with CIMS’ established research record in the field of building information modelling (BIM). The research challenges involved in the development of a […]

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Artificial Intelligence and Deterioration of Ocean Ecosystem

In the context of ocean sustainability of west coast of Canada, some questions that need to be considered are: what is the significance of environmental indicators related to the impact on marine aquatic species? How can changes in environment be predicted by patterns of bioindicators, for example as a result of hypoxia, affecting farmed and […]

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FABJRP, Towards a Fully Automated Bilingual Job Recommendation Platform

Recruitment of future employees is an essential activity in any organization, yet it is tedious and error-prone. Substantial effort is spent in rote tasks like finding candidates matching a particular job offer, contacting them, scheduling an interview and performing the actual interview, while the more interesting tasks like making a final decision on who to […]

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Optimal Selection of Data Augmentation Transformations

To achieve useful results in training deep neural network, one typically needs huge number of labelled images. In most practical cases, it is often time consuming, expensive and sometimes even near impossible to get the required numbers of labelled images. Data augmentation consists in a set of image processing techniques that can be applied to […]

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Improving the Accuracy of Data Loss Prevention Systems

Scotiabank employs teams of cybersecurity specialists across its global operations and partners with a variety of external organizations to prevent and investigate any electronic attempts to gain access to the Bank’s data. At the same time, employees are continuously educated and expected to look for warning signs and efforts to infiltrate that data as well. […]

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WP1.1.4 – Digital Compatible Modeling of Analog/RF/Optical Circuits

The intent of this project is to address the analog and silicon photonic modelling portion of a silicon photonic transceiver solution that will explore new and innovative metro reach terabit optical modems. In total there are five projects that combine to create the solution. These five project areas are silicon photonic design, high-speed electronic design, […]

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Applications of Blockchain for Cross-Border Deposits in the Finance and Banking Sector

Blockchain technology changed how e-payments work and opened the door for development of advanced and secure e-payment systems. Currently, cryptocurrency is the only well-known, successful application of blockchain technology. However, the application of blockchain technology is not limited to cryptocurrencies. Many distributed ledger technology experts discussed the benefits of applying blockchain in many sectors such […]

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Edge-Twin based Framework for Real-Time AI Applications for Vehicular Scenarios

Edge computing is expected to play a transformative role for future AI applications in 5G networks by bringing cloud-style resource provisioning closer to the devices that have the data. Instead of running resource-intensive AI applications at the end devices, we can consolidate their execution at the edge, which brings many benefits, such as eliminating the […]

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Implementation of the Engagement Score of Libro Credit Union’s Owners

Libro Credit Union wants to improve the Owners’ (customers) financial experience engaging them actively through the institution’s initiatives. Therefore, Libro is dedicating efforts to objectively measure which initiatives have a greater impact on the owner’s engagement; so they can have better insights into their audiences and can ensure best-served owners with tailored initiatives. Our main […]

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