Application of Health Statistics for Proactive Care Planning in Long Term Care

Shannex wishes to maximize use of its various data sources to generate key insights for health care teams when it comes to care planning/ general care of residents. What is missing from Shannex’s existing resources is a professional who is capable of identifying, and executing on, various statistical/mathematical manipulations to generate/ automate these meaningful insights. […]

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Prototype d’une bourse du carbone citoyenne

Nous proposons un système de bourse du carbone qui offre l’opportunité aux citoyens de participer à la lutte aux changements climatiques. Dans ce système, tous les humains ont le droit d’émettre une certaine quantité de carbone chaque année. Ce quota d’émission diminue graduellement d’année en année, de façon à respecter l’Accord de Paris. Un citoyen […]

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Multimodal Representation Learning from raw data to detect customers emotional state in the financial industry with Attention Mechanism

Currently, call centres effort in this matter is largely reactive. Someone calls in, they are upset, and agents respond accordingly. However, this approach is not always most effective, especially with difficult customers. Therefore, knowing the customers current emotional state is very important for appropriate problem solving. Affective computing can be used to detect and evaluate […]

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New Works XR (eXtended Reality)

New Works XR advances creative digital literacy of Canadian dance artists. It is a multi-faceted project supporting dance makers and companies working with or in early stages of exploring creation involving XR technologies. Designed by artists and XR technicians the project provides catered support: mentoring and consulting, test projects, workshops, virtual community building, peer-to-peer learning, […]

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Design et implémentation d’un outil AutoML

Afin de réduire le temps entre le développement d’un modèle d’apprentissage automatique et son déploiement, un gain substantiel peut être fait via l’exploration de caractéristiques similaires entre cas d’application afin de faciliter l’exploration des modèles les plus prometteurs et la sélection d’un modèle et sa configuration. Ce type d’outils entre dans la famille des AutoML […]

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Real-time AI-based Prediction Analysis of 5G network Quality of Service (QoS)

LatenceTech offers a cloud analytics and monetization solution for cellular networks with a special focus on ultra-low latency connectivity. Using SAAS and AI, our solution helps mobile operators, telecom vendors and advanced industries to track, predict and secure the new benefits of 5G cellular technology. Many new innovative services will require a very high and […]

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Development and launch of a rules-based engine for medical billing software

In collaboration with our Chief Technical Officer and our Advisory team, the intern will help develop and launch the rules-based engine that optimizes and validates diagnosis and billing codes. This work will involve review of various documents, including but not limited to billing reference guides, the provincial health insurance plan schedule of benefits (e.g., OHIP […]

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Data Communication Optimization between Mobile Devices and Servers

With data being the new digital currency, consumption of data is growing at an exponential rate. Data communication between mobile devices and servers generates a massive cost to businesses because of the high throughput. The business impact becomes exponentially large with respect to cellular bills and additional resources handling elevated server workloads. The objective of […]

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Generating internal threat intelligence feed as well as creating an incident response playbook

These days, there is growing concern about the security of confidential data in organizations. There is no doubt that organizations with high-security measures will witness cyberattacks. Therefore, the question is how we can prepare our infrastructure and cybersecurity team to deal with these challenges. The incidents response playbook is a comprehensive plan which has been […]

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Monocular 3D Object Reconstruction in Autonomous Driving

3D object reconstruction is a crucial task for autonomous driving. Many important fields in autonomous driving such as prediction, planning, and motion control generally require a faithful representation of the 3D space around the ego vehicle. Reliable and accurate 3D reconstruction with one RGB video alone in autonomous driving is the goal of this project. […]

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