Bodycad : Alignement d’image pour la planification d’ostéotomie

Ce projet vise à développer un nouvel outil de planification qui utilise une approche d’alignement 2D-3D entièrement automatisée pour permettre une planification 3D dans des conditions de charge. Ceci permettra d’optimiser les plans de traitement pour les procédures d’ostéotomie du genou, qui nécessitent une analyse complexe de divers paramètres. Le projet prévoit d’exploiter une base […]

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Machine Learning developer intern working within cross-functional teams to develop and commercialize AI-powered solutions in the Public Services Healthcare sector (1)

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. Competition for tech […]

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Multi-tiered Threat Intelligence Service Development for a Managed Security Services Provider

With the increasing complexity and frequency of cyber threats, Managed Security Service Providers (MSSPs) like ISA Cybersecurity must continuously evolve their threat intelligence capabilities. This project proposes the development of a Multi- Tiered Threat Intelligence Service (MTIS) to enhance the detection, classification, and response to diverse cybersecurity threats. This project aims to fortify ISA Cybersecurity’s […]

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Seed funding: Feasibility study of MacDon datasets for machine learning development

This project aims to determine if MacDon’s existing data can be used to develop machine learning models for image segmentation. Image segmentation means identifying different objects in an image by assigning each pixel to a specific category. MacDon has lots of unlabelled video and image data collected from their farming equipment. Traditionally, large amounts of […]

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Energy Disaggregation over Large-Scale Appliances

Energy Disaggregation is to find the energy consumption of individual appliances from only a single measure of household electricity consumption. Accurate energy disaggregation helps identify major energy guzzlers in the house and motivates users to take proper actions for energy saving. To pursue aneasy-to-use and scalable solution to energy disaggregation for contemporary large-scale appliances, we […]

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Manifold Learning for Anamoly Detection

Modern data analysis tasks often face challenges of high dimension and thus nonlinear dimension reduction techniques emerge as a way to construct maps from high dimensional data to their corresponding low dimensional representations. Finding such low dimensional representations of high dimensional data is beneficial in several aspects. This saves space and processing time. More importantly, […]

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Automatic Quantification of Neutrophil Accumulation within the Alveolar Space in Lung Histology Images using Artificial Intelligence

This project aims to create advanced artificial intelligence (AI) tools to help scientists and doctors better understand and treat severe lung conditions, like acute lung injury (ALI). ALI is a serious condition that can lead to breathing problems and is often difficult to study because the current methods for analyzing lung tissue are time-consuming and […]

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Design and development of information systems for Nova Scotia’s Women’s Centres

Women’s Centres Connect is the Nova Scotia provincial association of 9 Women’s Centres. It articulates common activities, concerns, and needs, and coordinates association activities and information sharing among Women’s Centres. Nova Scotia Women’s Centres provide services and programs based on the identified needs of women within the community of each Centre and continue to grow […]

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Enhancement of the Automotive Cybersecurity Vulnerability Database Platform

This project aims to enhance the existing Automotive Cybersecurity Vulnerability Database Platform, making it more robust, user-friendly, and industry-specific. The platform will enrich data points by leveraging AI and ML to ensure high relevance and actionable intelligence for automotive cybersecurity. The project will adapt the National Vulnerability Database framework to include automotive-specific technology tags, provide […]

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A platform where ABA/Speech meets Behaviour Analysis

This project involves the development of a program that will aid creating operational efficiencies and lower costs to Guiding Light. The coding of the program involves: combining assessment tools that are currently being used in our centres; the gathering of clients data and mapping of charts based on these data; the use of AI to […]

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Coach Mo: AI-drive Text to Speech

MOTTIV Technologies and researchers from the University of Alberta will collaborate to create an “AI coach” which is a language based chatbot that will speak to athletes who use the MOTTIV app about a defined list of instances that are critical for a successful coach-athlete relationship. The goal is to make the chatbot called Coach […]

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Application Specialist

The Port is looking to do a full review of applications to ensure the strategy use of current applications to maximize business value and strategic use of resources for the high quality of data possible. Once the review is complete, a plan will be developed for the applications. This project will include various tasks including: […]

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