This project will be pivotal in transforming Peliplat into a more dynamic and interactive platform, where creators are supported and motivated to share their passion and knowledge, ultimately enriching the experience for all users. Through this initiative, Peliplat will solidify its position as a leading destination for film and television content and discussions, globally.

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 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 […]

Employee absenteeism presents significant challenges for organizations, affecting productivity, team morale, and operational efficiency. Accurately predicting absenteeism enables businesses to proactively address its underlying causes, optimize workforce planning, and minimize disruptions. Advances in artificial intelligence (AI), machine learning (ML), and deep learning (DL) provide robust methods for analyzing complex datasets to uncover patterns associated with […]

challenges such as long wait times and overcrowding. These delays impact patient health and strain healthcare resources. This project aims to address these challenges by enhancing SiMLQ, a cutting-edge software tool that uses data to simulate and optimize ED operations. Using real-world data from Erie Shores Healthcare Center as an example, the project will develop […]

Automatic mixing is a field of music technology research looking to automate sound engineering processes. The project will look to expand the field, using machine learning techniques to analyze the relationship of the subjective sound engineering techniques of audio engineers. From this, a unique and quantifiable data set will be we gathered in order to […]

SportsPrevention.com estimates the risk levels of preventable injuries associated with training program, training response, recovery and health status by continuously more than 20 evidence-based overtraining and injury markers and risk factors. Each marker is statistically analyzed on an individual basis and results are presented in a simple and meaningful way, along with actionable ‘how to […]

Multi-physics considerations are important for many engineering applications. For example, we may want to know at what rate heat is transferred between two different systems or how a fluid and solid interact with each other for applications such as turbo-machinery, parachutes, or blood flow through an artery. Engineers often rely on numerical methods to solve […]

examine the feasibility of an innovative solution that combines Federated Learning with Deep Reinforcement Learning (DRL) to optimize the selection of edge nodes for model aggregation. Through the proposed DRL-based client selection method, the system can actively select nodes that have shown superior performance based on their training quality, computational resources, and network conditions. This […]

Procurement Intern: Norsat International Inc. aims to improve its procurement operations by streamlining supplier relationships, managing inventory more effectively, and ensuring that product deliveries align with the company’s operational goals. The challenge is to enhance the efficiency of supplier communication and ensure timely product deliveries to meet production needs without delay. This requires gathering detailed […]

This project aims to develop advanced, self-managing networks that reduce the need for manual intervention by allowing network administrators to set high-level goals, called “intents,” rather than dealing with complex configurations. By automating network management tasks and ensuring that these intents are consistently met, the project will help the partner organization operate more efficiently, reduce […]