In metastasis, cancer cells break away from where they were first formed (primary cancer) and travel to other parts of the body and form new (metastatic) tumours, which ultimately results in poor outcomes for cancer patients. Although surgical excision of metastatic tumour is often required, the act of surgery itself elicits profound suppression of immune […]

Robosafety is an emergent start-up committed to transforming safety engineering in autonomous systems like self-driving cars and AI-driven robots. The project’s core objective is to simplify and improve the safety assurance process, markedly reducing the time and effort involved in validating safety compliance. The overarching goal is to foster the deployment of safe, reliable autonomous […]

CogniVue is a leading innovator in embedded computer vision, providing both hardware and software solutions that enable its customers to develop high-performance, low-power embedded vision applications. From the success of recent 3D sensing technologies such as the Microsoft Kinect or the Intel Creative camera, the need for innovative low-cost depth sensors is rapidly growing. In […]

Total::Insight™ is a geospatial and time distribution Decision Support System (DSS) that includes a correlator capable of consuming many sporadic time domain signals and converting them into feature rich tracks. The problem here is how to create an AI/ML embedding that is domain relevant from the tracks.The project objective is to develop, refine and industrialize […]

The overall goal of this project is for the University science team at the University of Ottawa and University of New Brunswick to develop high quality Echinacea products for Canadian and world markets in collaboration with Amway Canada. One objective involves phytochemical and pharmacological selection and propagation of elite Echinacea from the historic Echinacea germplasm […]

Numalogics is a company that uses finite element models of the spine to offer consulting services for other companies, assist in the design of new spinal implants and surgical tools, and simulate surgical procedures. Currently, they apply pre-established loads to their models when running simulations of basic spinal movements. They require to assess whether these […]

The project seeks to optimize the performance of a Language Model (LLM) specifically tailored for patent drafting. Through meticulous fine-tuning, our objective is to elevate the LLM’s capabilities, thereby enhancing the efficiency and precision in the generation of patent documents.

The VT-PATCH project addresses a crucial gap in pediatric healthcare by introducing a user-friendly medical patch designed for short-term, continuous monitoring of infants and young children. Unlike the current complex system of multiple devices and wires, the VT-PATCH offers an all-in-one solution to measure vital signs like heart rate, respiratory rate, blood oxygen saturation, and […]

Change is a necessary part of an organization’s existence and its continued growth. Therefore, the ability to manage change effectively and efficiently contributes to organizational success. The intern, through an extensive review of change models and public sector change literature, will develop a change model suitable for the public sector environment. The model will be […]

While climate change must be countered through effective mitigation and adaptation approaches at the global, national, and local levels, implementing effective policies to do so can only be accomplished through buy in by a critical mass of citizens. However, we know that to-date this remains a challenging prospect to accomplish both in the Global North […]

This project will develop, test and then apply new mass spectrometry (MS) methods of measuring radionuclides and their decay products. This approach will provide rapid and economic measures of radionuclides that are important in human health and environmental protection nuclear facilities. We will work closely with our partners to ensure that the methods are validated […]

Quantum information metrics including fidelity, quantum divergences, and the trace norm provide the mathematical foundation for studying and understanding quantum states and processes. As such, quantum information metrics play a crucial role in quantum computing, simulation of quantum systems, and quantum machine learning (including quantum clustering, generative models, and machine learning of, and by, quantum […]