Speech Recognition for 9-1-1 Calls and Long Audio Clips

This research project has two goals. The first goal is to design and test software that will automatically transcribe 9-1-1 emergency calls and interpret their meaning with respect to the central facts of an emergency (who, where, and what occurred) as well as possibly when, why, and how the emergency occurred. The second goal is […]

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Incorporating Pruning Methods in GAN and Diffusion-based Models

Due to the widespread use of credit cards as a payment method, numerous fraudulent credit card transactions occur, resulting in significant losses for financial institutions. At a high level, the fundamental objective of the project is to improve the performance of fraud detection systems by providing high-quality synthetic data generated by improved deep generative models. […]

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Design and Evaluation of Techniques for Enhancing the Utilization of Pre-Trained Language Models (GPT-3) in Sales and Marketing through Prompt Engineering and Fine-Tuning

This research project is focused on using AI technology called Pre-trained Language Models (PLMs) to generate results that are more human-like and of higher quality. The team will utilize a technique called “prompt engineering” to work with a leading PLM in the market, GPT-3, to enhance productivity in reading and writing tasks for salespeople. By […]

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Decision Making Using Multi-Criterion DecisionAnalysis

This project is to enable groups of people to better brainstorm decisions in which people can have divergent opinions. Building on ValueCharts that lets people input their utility, we will build a tool that lets decision makers explore the space of the expressed opinion to see where there are differences and whether they matter to […]

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NBCC Flex Program

HotSpot has developed a mobile application to allow users to pay for parking, transit, and taxis from their phone, with the return of funds at the end of the session back to them instead of in the meter. The mobile application has taken off and the organization is partnering with NBCC to develop talent from […]

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Ka ootshapatamihk

MichifMedia is creating new educational resources through digital twins of landscapes, with a focus on our shared indigenous history. We will be using existing LiDAR scans done by the University of Lethbridge, and other available sources to create digital twins of three locations. These will be hosted online so they can be accessed for free […]

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Développement d’un nouveau moteur de positionnement de mannequin en 3D

Les logiciels de simulation numérique humaine permettent aux ergonomes et aux designers d’analyser le profil des tâches de travail de manière ergonomique et s’assurer en fin de compte de l’optimisation de la tâche. Les logiciels de simulation actuelle demande un temps de mise en forme par rapport au temps de simulation. Une grande partie de […]

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Computational Scanning of lmidazolium-based Anion Exchange Membrane materials

One promising approach for the advancement of both fuel cells and electrolyzers is the incorporation of anion exchange membranes. These would provide many potential benefits, such as a significantly decrease cost as they do not rely on expensive precious metal catalysts. However, anion exchange membranes still face multiple challenges, one of them being their chemical […]

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Iron Fox Games – BSI

Iron Fox Games (IFG) is presently a 23-person work-for-hire studio built on decades of experience making mobile games with the world’s biggest brands (The Simpsons, Marvel, Disney, Hasbro, and Star Wars). IFG is also quietly building up it’s own IP (code named Project PETS) for eventual release, either independently or with the help of a […]

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Growth Monitoring Sustainability Scholar

The Growth Monitoring Sustainability Scholar will support the Urban Growth Monitoring and Analysis Team as it implements growth monitoring renewal through The City Plan. This Project includes evaluating, analyzing, and reporting on several sustainability factors related to urban growth in Edmonton, including neighbourhood growth sustainability modelling using tax revenue and servicing costs data to analyze […]

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BrokerAID Risk Assessment Automation System

This project focuses on developing UW InsureTech’s deep learning product to help the broker to optimize their current clients’ group and also help them to predict the potential risk and cost-benefit values. This service will help brokers to give better service to their target customers, monitoring the risks involved. Brokers can do more upsell and […]

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