Obstructive sleep apnea (OSA) is common in 10% of adults and is associated with increased cardiovascular morbidity and mortality. Furthermore, there is a 3-fold increase in OSA prevalence in fluid retaining patients such as those with heart failure. Evolving evidence suggests that fluid accumulation in the neck could narrow the upper airway (UA), increase its […]

Recent advances in computational neuroscience underscore the value of biologically accurate models integrating multimodal neuroimaging to simulate brain activity realistically. Deep brain areas like the hippocampus, crucial for memory and cognition, pose challenges for non-invasive study due to their complex dynamics. The Region-Specific Brain Network Model (RSBNM) addresses this by combining Neural Mass Models, high-resolution […]

This project aims to create a communication tool that works without the internet by using mesh networking technology. It is designed to help workers in remote or dangerous areas stay connected, even during emergencies like power outages or network failures. The system can send important information such as location, temperature, and gas levels between devices. […]

This project is to build a smart traveler assistant (STA) software system for Free Independent Travelers (FIT). FIT is a travel style where a person plans and books all aspects of their trip themselves, including transportation, accommodations, and itinerary. This STA could plan and book the itinerary before traveling and could replan and rebook the […]

This research-based project aims to make developing virtual reality (VR) applications faster and easier by using generative AI tools. By streamlining the development process, the project can help both companies and individual developers save time and resources. This is especially valuable for Calgary’s growing community of VR businesses and research labs. Overall, the project supports […]

Artificial intelligence (AI) is increasingly used to make high-stakes decisions in fields like finance, insurance, and healthcare. However, most of AI systems function as “black boxes,” producing results without clear explanations. This lack of transparency can lead to serious consequences, such as denying loans to creditworthy individuals or making unfair risk assessments. The AsbabAI aims […]

This project focuses on researching and developing an advanced coordination mechanism between our API layers and LLM infrastructure. The goal is to efficiently access and reason across both structured and unstructured data sources to improve customer’s decision-making processes. Success will be measured by the speed in which that data source can be identified, sourced, and […]

The NutraMate project aims to revolutionize prescription management in pharmacies by implementing an AI-driven automation system that replaces traditional manual processes. Our cutting-edge technology will significantly reduce the documentation and data entry time while also having high accuracy and improving patient safety through advanced verification processes. Our product is seamlessly integrated into existing pharmacy workflows […]

The project background for JOYfuel stems from the pervasive issue of current social media platforms, whose default algorithms often prioritize engagement over user well-being, leading to passive consumption, digital distraction, and a significant ‘time tax’ on individuals’ productivity and mental health. Laroye AI’s core business idea is JOYfuel, an AI-powered mobile application that provides a […]

We are developing a next-generation cybersecurity tool that uses large language models (LLMs), a form of generative AI, to help small and medium-sized businesses (SMBs) detect hidden weaknesses in their systems before they can be exploited. Unlike traditional tools that rely on fixed rules and often flood users with too many alerts, our platform understands […]

Francoflex offre une IA conversationelle qui aide à l’apprentissage du français au travail. Elle aide à l’intégration des travailleurs dont la première langue n’est pas le français. Pour assurer de l’efficacité du modèle de reconnaissance audio et un bon apprentissage, il faut entraîner un modèle capable de reconnaître des accents forts dans différentes langues natives […]

Medical imaging is vital to modern healthcare, yet high costs and limited access slow patients’ paths to diagnosis. Radiologists often correlate imaging findings across multiple imaging modalities and sequences to arrive at a specific diagnosis, but each extra scan or sequence increases scanner time, healthcare costs, wait-list pressure, radiation for ionizing exams, and energy use. […]