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 […]

Amélio souhaite développer un modèle prédictif novateur pour anticiper les intentions de départ des employés. Ce projet utilisera des techniques avancées en apprentissage automatique pour aider les entreprises à mieux comprendre les dynamiques internes et renforcer leur stratégie de rétention.

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 […]

Design an efficient way to store and organize the large amounts of data required by our real time bidding application. Data such as campaign information, campaign assets (images, links, html) campaign targeting settings, and campaign optimization data could be arranged for fast access and processing inside the RTB application. Efficient storage and processing methods are […]

Digital Pathology provides a great reliable source for cancer diagnosis; however, this relatively new technique lacks an appropriate method of regulation and standardization. As a result the information obtained from cancer imaging system might suffer from inconsistency of the results (repeatability and reproducibility issues). Working with the BC Cancer Research Center, Logipath Medical Inc. has […]

Developmental language disorders (DLDs) are among the most common early-childhood disorders, affecting between 8-12% of children worldwide. If left untreated, DLD can lead to significant professional and interpersonal difficulties later in life. While speech therapy is highly effective, the barrier-to-access is high with regards to cost, availability of speech therapists, and the delay between detection […]

The research focuses on development and implementation of advanced software algorithms designed for the automated analysis of skin lesion images. The algorithms will be designed to run on mobile computing devices such as smartphones and tablets, and could be used by the general users as well as doctors for computer-assisted screening and diagnosis of skin […]

In the complex and ever-evolving realm of shipping investments and operations, informed decision-making stands as a cornerstone of success. Within Soshianest Inc., the primary focus lies in providing precise and reliable freight rate forecasts. Through the utilization of state-of-the-art AI models, the company aims to enhance shipping strategies, enable data-driven decision-making, and adeptly maneuver through […]

Medical imaging is a cornerstone of modern healthcare, but challenges like high costs and limited accessibility hinder its potential. This project investigates the use of diffusion models—a cutting-edge AI technique—to generate synthetic medical images for targeted healthcare applications. By focusing on a single imaging task, such as cross-modal imaging or sequence generation, the project will […]