L2M Nimbus

Noise pollution is a pervasive issue, particularly in urban environments where it affects sleep quality, cognitive function, and overall health. In response to this growing problem, our project introduces Nimbus, an innovative earplug technology designed to offer adjustable noise attenuation, tailored to the specific needs and environments of its users. Traditional earplugs often provide a […]

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L2M – Shelltech_Business_Strategy_Internship_Proposal

This project will create an AI-powered device that helps shellfish hatcheries keep their larvae healthy by constantly monitoring them. The system uses smart image analysis to catch early signs of disease or stress, sends real-time alerts to staff, and reduces the need for manual checks. This makes hatcheries more efficient, helping them produce more healthy […]

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L2M – Craft Brewery Innovation Project

Craft breweries depend heavily on their brewmasters to forecast demand and plan production, which distracts them from their core focus: brewing good quality beer. It also puts significant pressure on breweries because if the brewmaster suddenly becomes unavailable, they would be incapable of effectively completing these tasks. Forecasting and production planning become increasingly difficult as […]

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Assessment of Comprehensive Self-Care Programs in the Workplace: A Mixed Methods Study

The purpose of this 20-week study is two-fold. First, assess two comprehensive self-care programs on employee and organizational outcomes. Second, explore the self-care phenomenon. A single financial services organization will participate in the study. Financial consultants will be randomly assigned by office location into three groups. Group #1 will attend a comprehensive self-care program called […]

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Development and testing of an on-line video game to teach second languages

Copernicus Studios Inc. (CSI; Halifax, NS) is developing LANGA – disruptive LANguage GAming software to help people learn new languages. LANGA uses advanced speech recognition and high-end animation to create a unique and engaging gaming experience. However, LANGA is more than just flash – it has been developed in partnership with the NeuroCognitive Imaging Lab […]

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Nutrient Recovery of Spent Biomass and Lipid-Extraction from Wastewater in the Production of Thraustochytrids

This project aims to explore the novel concept of nutrient recycling within the production process of microalgae biomass for biofuels and bioproducts. After extraction of primary products, the remaining waste materials which contain potential nutritional value will be evaluated for potential recycling as feedstocks into the production of additional microalgae biomass. Completion of this project […]

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Using Thermal Feedback for Spatial Awareness in Virtual Reality

In this project, we will utilize thermal feedback for target position identification in a virtual environment, e.g., allow users to know the location and distance of a virtual object with respect to their position based on the location and intensity of the thermal feedback. Our goal is to design and develop a new VR application […]

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OQULi online RAG service platform implementation

Integration of R&D efforts produced from the Dalhousie Computer Science team in 2024 on AI Comparison capabilities for the application CODiii Rogue. Successful individual will be compiling an integrated python backend to a newly design UI with the injection of results from previous AI findings. In addition to the work outlined above, this project will […]

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Minimally Invasive Machine Unlearning via Monosemantic Neural Activation Identification

In the age of artificial intelligence, machines learn from vast amounts of data to make predictions and decisions. But what happens when we need them to “unlearn” something—whether to protect privacy, correct biases, or comply with regulations? Existing approaches to machine unlearning can be effective at removing specific data from a model’s memory, but they […]

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Better wind turbine forecasting; wind speed and wind turbine power output at single turbine spatial scale

Wind turbine generator power output and consumer electricity demand vary independently from one another. This presents a difficult situation for electricity grid managers as they attempt to exactly match demand using wind turbines and conventional generators (e.g. hydro, fossil fuels). Accurate forecasting of wind turbine generator power enhances management of the electricity grid, allowing for […]

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