Scalable PDF Rendering Infrastructure Upgrade for Digital Construction Estimating Platform

This project involves upgrading the PDF rendering infrastructure for Quantify, a digital construction estimating platform. The current in-house PDF engine was originally designed for AI training purposes and lacks the features, performance, and scalability required for displaying construction drawings and specifications in a cloud-based environment. The existing system has significant limitations including missing critical functionality […]

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Agent ClickBait Attacks

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 the platform’s capabilities. ServiceNow Research has made […]

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Multi-turn Problem Solving Workflows with Deep Research

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 the platform’s capabilities. ServiceNow Research has made […]

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Planar Photometric Scene Reconstruction

This project aims to develop a new method for creating realistic 3D digital models from photographs, specifically improving how flat and texture-less surfaces are reconstructed—an area where current techniques often fail. By combining two approaches—2D representations for flat areas and 3D representations for more complex shapes—the method improves both the visual appearance and accuracy of […]

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FendrAI: Building an AI-Driven Risk Assurance Engine with Insights

Enterprise organizations are increasingly facing significant financial risks caused by hidden vendor overspend, billing errors, and non-compliance with contractual agreements. Traditional enterprise resource planning (ERP) systems often lack the intelligence and automation necessary to detect such discrepancies in real time. As a result, many organizations approve payments without properly validating invoice accuracy, leading to revenue […]

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Computer Vision and Generative Machine Learning for Dynamic Gamified User Navigation

We will develop a gamified AI simulator to transform static maps into interactive games for training and navigation purposes, helping users improve their spatial skills and learn how to move through unfamiliar environments. The simulator will dynamically generate new game rules on maps to simulate real-world navigation scenarios and create games with varying levels of […]

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DC3: Viral Menace

1) S-Qubed Entertainment (SQE) was established to share stories in all three facets of entertainment – video games, books, and visual media. SQE values research and data-driven improvements to create projects that reflect the tastes of our contemporary audience. We strive to address the lack of diversity by crafting worlds that explore untold narratives. 2) […]

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Quantum Machine Learning for Time Series Anomaly Detection

This project explores the potential of quantum machine learning (QML) algorithms for time series anomaly detection (TAD), a crucial task in areas such as healthcare, finance, and cloud systems. While classical approaches have achieved notable success, challenges remain in capturing complex temporal dependencies, modeling high-dimensional correlations, and ensuring timely detection of anomalies. By leveraging QML-based […]

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BlueKit AI

BlueKit Software is a New Brunswick–based EdTech company developing a patent-pending, hands-on learning platform that empowers students to build real-world smart technology solutions while gaining foundational AI literacy. Its core product, BlueKit, combines custom IoT hardware, a no-code visual project builder, and standards-aligned content to deliver a fully integrated learning experience. As AI transforms education, […]

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Development of a Deep Learning Workflow for Nuclear Segmentation and Classification in IHC-Stained Breast Cancer Slides with QuPath Integration

This project aims to develop an AI-driven pipeline for nuclear segmentation and classification in immunohistochemistry (IHC)-stained cancer slides, integrated into the open-source digital pathology platform QuPath. In collaboration with Alberta Health Services (AHS) and the University of Alberta, the project addresses a pressing need for scalable and interpretable tools to assist in cancer biomarker assessment—particularly […]

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Autonomous Code Refactoring and SQL Optimization with an Agentic AI-Powered Editor

This project will develop an advanced AI-powered code editor that can automatically improve and optimize large software projects. Unlike current tools that only help with small code suggestions, this system will be able to review entire codebases, fix problems, and make them easier to maintain. It will also improve the speed and efficiency of database […]

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