Redesigning Transformer Neural Networks for Data-Efficient Breast Cancer Diagnosis

Transformer neural network models have achieved state of the art results in many areas of machine learning, including natural language processing (e.g. BERT, GPT-3) and computer vision (e.g. ViT, SAM). However, to achieve these results currently requires extremely large training datasets which are not available in every domain. One such domain is medical imaging, in […]

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Increasing the efficiency of quantum computers through semiconductor structuring

Since the mid-nineteenth century, technology has advanced at an exponential rate due to the large demand for computing power and performance. We are presently at a critical point where the switch from classical to quantum computing is required, however, the technology is still in its infancy. Unlike classical computers, which control information flow through bits […]

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Ocean Sound Speed Profile Estimation Using the Pulse-Echo Technique

The proposed research project aims to develop a method for estimating sound speed profiles in underwater environments. By utilizing pulse-echo acoustic techniques, we can accurately determine the sound speed, which is crucial for various applications such as ocean acoustic studies. The expected benefits to our partner organization include improved underwater acoustic measurements, enhanced mapping of […]

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North Atlantic Organized Track Structure (OTS) Flight Track Planning

The proposed project aims to generate wind-optimal aircraft trajectories for the North Atlantic airspace, which will not only benefit the airlines by allowing them to fly the preferred routes and save on carbon emissions, flight time and fuel costs, but also benefit air traffic by providing safe separation between flights through the use of strategic […]

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MRI Quantification for Predicting Post Stroke Motor Functions

Stroke is a leading cause of adult disability. Stroke results in neural damage to the brain and subsequent physical, cognitive, and affective impairments. Motor impairment after stroke is common and affects around 80% of patients. A primary concern immediately after stroke for patients, their relatives, and their caregivers is the prospect of recovery in the […]

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Creating a Business Model for Food Hub Network in Newfoundland Labrador

The purpose of this project is to create a business model for a connected network of physical sites (called Food Hubs) across the province, connected by effective online links, to create a more direct system of food production, distribution, and education. It will connect growers and enable small-scale food producers, who typically have trouble accessing […]

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Easy Receipt – Phase Two

The proposed project aims to develop Easy Receipt’s software by integrating a receipt NFC transfer feature through the expertise of the intern Maryam. By leveraging her skills and utilizing the Scaled Agile Framework methodology, the project aims to improve the Easy Receipt application, leading to streamlined receipt management for users and increased brand visibility. This […]

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