Estuaries are coastal regions where a freshwater source meets the ocean. The influence of tides, wind, and the shape of the estuary can lead to complicated flows of water that are difficult to predict. The purpose of this project is to develop a computer simulation of the Halifax Harbour estuary. We will use the General […]

Selecting the right person for a job or admitting the right individual into a medical school of similar professional program is an important but complex task. Decision-makers rely on assessment tools to help them know more about the knowledge, skills, and abilities of potential applicants before they make their choices. The Casper test by Acuity […]

There are over 250 million scientific publications and reports with an increasing rate published each year, yet many are not accessible to the public due to their technical language and content hidden behind paywalls. This project aims to leverage AI (Artificial Intelligence) and a curated database of ocean-climate literature to enable educators and students to […]

Harmful algal blooms (HABs) are a growing threat to drinking water, fisheries, public health, and recreation. In recent years, HABs have increased in frequency and severity in both freshwater and marine environments. Blooms are hard to monitor because they can occur unexpectedly, and reporting methods across Canada are inconsistent, creating a patchwork of alerting methods […]

The proposed project aims to develop innovative cell culture collection and extraction kits designed to streamline and improve the process of collecting cell samples in research laboratories. By addressing the current challenges of manual sample collection, such as time consumption, variability, and error-prone methods, our kit will enhance the reliability and efficiency of biological and […]

Glioblastoma (GBM) is an aggressive brain cancer with a five-year survival rate of less than 5%, primarily due to the tumor’s high recurrence rate. The critical challenge in GBM treatment is extending patient survival while maintaining quality of life. Current minimally invasive surgical techniques for GBM involve using endoscopic tools guided by optical microscopes and […]

Lithium-ion batteries are becoming increasingly common as the demand for energy storage in vital sectors like automotive and grid storage is on the rise. Each year, lithium-ion battery manufacturers dispose of 2% to 10% of their products, leading to financial losses of up to billions of dollars. Our research group recently found that inactive components […]

Self-supervised representation learning (SSRL) has advanced considerably by exploiting the transformation invariance assumption under artificially designed data augmentations. While augmentation-based SSRL algorithms push the boundaries of performance in computer vision and natural language processing, they are often not directly applicable to other data modalities, and can conflict with application specific data augmentation constraints. This project […]

The AIaaS (AI as a Service) project aims to develop an advanced, scalable platform to host and manage AI models, ensuring high performance and efficiency. This open-source system will leverage the latest AI technologies and distributed computing to deliver fast and reliable AI services. Key features include automated load balancing, dynamic resource allocation, and real-time […]

Food insecurity disproportionally affect people of the 2S/LGBTQI+ communities. Food insecurity is intersectional: people who belong to one or more marginalized groups, like 2S/LGBTQI+ are at greater risk of experiencing food insecurity. This project’s objectives are to more effectively understand and address the food security and accessibility needs of and with 2S/LGBTQI+ communities, across Canada […]

When you go to the dentist and receive a white filling, this resin filling is hardened in the tooth using blue light from a dental curing light. Health Canada classifies curing lights as Class I Medical Devices, but they do not test if the manufacturer’s claims are correct. There are many different brands of lights […]

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, […]