Sofvie is a safe performance platform geared for mining and heavy industry. The goal is to give the tools and insights to all of great decision making and reduce risk/hazards in the workplace. Part of our journey is to offer a great analytical service (PowerBI as a Service). We are looking to have our candidates […]

The general objective of this research is to investigate the effectiveness of fine-tuning large language models (LLMs) for the purpose of enhancing patent generation and brainstorming processes across various domains. The project follows an agile project management approach, emphasizing continuous small releases. The project is important to XLSCOUT as it aims to enhance text clustering, […]

À l’aide d’algorithmes quantiques d’optimisation, développer des méthodes de tractographie sur des graphes, dans le vue d’avoir une méthode globale de déterminer des connexions dans le cerveau.

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW.

The general objective of this project is to provide an update to the GFIT application that will include the following: The ability to automatically send the user a receipt to use for insurance. To develop the integration between workout logs and workout plans. To integrate the digital clinic with a direct booking system. The ability […]

Software requirements play a critical role in safety-critical cyber-physical systems as they are the foundation for designing, implementing, and testing of the software systems. Due to limited budget and time constraints, software requirements in a commercial setting tend to have unsatisfactory quality, which complicates downstream development activities. Prior research identifies dozens of quality attributes of […]

Cardiac PET is a powerful tool to assess heart function. One measure from a Cardiac PET study is left ventricle ejection fraction. This is mainly estimated through gated reconstructions of relative perfusion imaging and segmentation of the left ventricle myocardium. However, direct estimations of left ventricle volume and thus ejection fraction can be obtained by […]

Appleby College is in the early stages of developing its AI learning and training program for high-school-age students. The program aims to provide students an interactive platform focusing on AI literacy and competency. AI technology is a trending domain incorporated in every aspect of life. Therefore, ensuring that students understand AI at an earlier age […]

Healthcare has been completely transformed by the spread of Internet of Medical Things (IoMT) devices, which present before unheard-of possibilities for monitoring, diagnosis, and therapy. Since healthcare data is sensitive, these solutions must ensure authorized access to data while maintaining confidentiality, integrity, and the availability of resources. The underlying security vulnerabilities in IoMT systems can […]

Training artificial intelligence and machine learning (AIML) models requires a large amount of data. However, access to data for AIML projects has been problematic in practice, largely due to privacy concerns. One approach to enable data sharing and data access is to anonymize the data. However, in the Canadian context, a national standard and a […]

This project involves creating a gamified Virtual Reality (VR) experience that simulates the I catheter insertion, providing users with depth perception and spatial awareness crucial for mastering the procedure. The VR application, will be developed in collaboration with Sononurse, aims to improve nurses’ fine motor skills through immersive training with gaming mechanics. The effectiveness of […]

Enormous quantities of machine-readable data, measured in many terabytes, are readily available. The sources include the world-wide web, publicly available databases, raw experimental data, unannotated genomic sequences generated by biochemical tools, and so on. However, data does not necessarily equal useful information. More often than not, the data has to be intelligently processed, interpreted, transformed, […]