IP multimedia subsystem has been identified by mobile network operators as a promising framework for deploying VoLTE and rich communications services. Offering these services in efficient manner makes it even more attractive. Virtualization represents the suitable concept to achieve this. Moreover, deploying IMS in virtualized environment becomes a solution of great potential especially for multi-tenant […]

We aim to help law enforcement agencies tackle today’s most sophisticated crimes by enhancing their productivity, improving crime clearance rates, improve the success rate in speedy trials, and driving crime prevention through the power of AI-driven crime prediction.

Le projet, l’IA au service de la résilience des villes a pour objectif de mettre en place des outils d’IA éthiques et responsables permettant le diagnostic et l’amélioration de la résilience des villes québécoises face aux changements climatiques, économiques et sociales. Étant donnée que de nombreuses villes ne sont pas équipées en termes de ressources […]

The project entails exploring the use of Machine Learning (ML) techniques to assist in the training of air traffic controllers. The core goal is to train models that help predict if an instruction given by an air traffic controller may put an aircraft at risk of colliding with another aircraft during landing procedures.

Continuous Integration is a software development practice where each member of a team work independently and then merge their changes into a common codebase, at least daily. Each of these integrations is verified through an automated build pipeline, whick consists of a sequence of actions such as compilation, testing, addition of third-party components. The key […]

This research project will explore how advanced artificial intelligence technology, specifically large language models (LLMs), can improve the Mental Health Assessment Tool (MHAT) developed by Harrison Healthcare. MHAT is a secure online tool designed to help primary care doctors identify and diagnose mental health conditions based on structured questionnaires and clinical guidelines. The project will […]

Mental health professionals are evolving as they use a multitude of therapy modalities in every session. Already, therapists each have a different way of writing notes to each other, which becomes more complicated when applying a different set of modalities. This research will enable generating LLM case notes for therapists that are unique to their […]

This research aims to advance the field of federated learning by addressing privacy, domain shifts, and personalization challenges, particularly in the context of mobile and digital healthcare. By developing robust and scalable solutions, the proposed framework has the potential to significantly enhance patient care, diagnostics, and personalized treatment while maintaining stringent privacy standards

A quick and simple, point of care test is being developed to detect traumatic brain injuries using saliva samples. The prototype test uses biotechnology to measure the presence of certain protein markers of injury, resulting in a change of colour and/or location of colour in the test material. The interpretation of the results can be […]

This project aims to research a new set of algorithms that extract audio features from audio files in sound effect libraries and use machine learning approaches to predict high-level audio descriptors–such as emotional adjectives–to enhance game audio file labelling. This research project will assist our partner organization by providing them with a set of algorithms […]

Polymath Global is a federally registered Canadian technology company based in Saskatchewan. Our primary activities leverage our innovative cloud computing platform to develop, deploy, and scale SaaS solutions across various sectors. Currently, we are focusing on developing an AI-native electronic medical record (EMR) system, named the “Medical Home,” to address critical needs in healthcare. This […]

Image enhancement consists of creating a composite image (fused image) from different sources. The objective of this project consists of acquiring images from Electro-Optical sensors and Infrared (IR) sensors in low light conditions, to enhance them, to combine (fuse) them in order to create an image of better quality. To do so, the project will […]