Innoptech is building VegForecast™, a digital twin platform for vegetable fields that combines rapid drone flyovers with computer vision and 3D reconstruction to deliver field-level insights as maps and KPIs that support scouting, intervention planning, and in-season decision making. This internship aims to deliver a complete AI module for weeds by training a detection and […]

La réhabilitation des systèmes lacustres urbains contaminés en climat froid se heurte à différentes contraintes, tant urbaines que climatiques. Le Lac Osisko est l’un d’eux : soumis à diverses pressions anthropiques, il présente des problèmes importants tels que l’eutrophisation, la contamination des eaux et des sédiments, ainsi que la prolifération d’espèces végétales envahissantes. Les stratégies […]

Current methods for tracking construction progress rely on manual inspections, which are slow, inconsistent, and often dangerous. This research project aims to automate this process using an agile quadruped robot (a “robot dog”) developed by Noûs Technologies. The interns will create a smart navigation system that uses the building’s digital blueprints to guide the robot, […]

This project examines how uninsured migrant parents of babies born in Canada, and their supporters, navigate barriers to registering newborns for provincial health cards. “Uninsured migrants” refers to people who are ineligible for public insurance and lack private coverage or have insufficient coverage. Research shows that hospitals may refuse to register newborns when the mother […]

Strathcona, a neighbourhood in Vancouver, experiences higher air pollution than many other parts of the region as it sits next to major freight routes and industrial areas. Studies have found persistently high levels of nitrogen dioxide (NO2), a pollutant linked to traffic and fuel combustion that can harm human health. While the problem is well […]

(1) Overview of the Research Problem Despite rapid advances in Large Language Models (LLMs), their deployment in professional knowledge-intensive sectors remains constrained by hallucinations and data gravity. LLMs frequently generate plausible but unsupported outputs when applied to specialized corpora, while organizations hold vast quantities of “dark data” embedded in unstructured PDF archives. In archaeology and […]

Current artificial intelligence (AI) agents deployed in enterprise settings make static, one-shot decisions and cannot adapt as context changes or learn from the outcomes of past actions. This research addresses two limitations of enterprise AI agents: (i) the inability to dynamically adjust reasoning effort based on the uncertainty and stakes, and (ii) the inability to […]

This project investigates the resistance of Winnipeg bedbug populations to chemical insecticides and evaluates the effectiveness of locally developed Beauveria bassiana formulations, addressing critical gaps in our understanding of fungal susceptibility and informing the development of targeted, eco-friendly pest control strategies.

This project will evaluate simple methods for collecting and preparing saliva samples for concussion biomarker research. The work will compare different collection approaches to determine which provides more consistent results. All experiments will use artificial saliva, allowing the methods to be tested in a controlled laboratory setting without using human samples. The results will help […]

Vélo Québec publie périodiquement l’État du vélo au Québec et la mise à jour 2025 survient dans un contexte où la pratique cyclable évolue rapidement. De nouvelles données deviennent disponibles, notamment celles des enquêtes Origine-Destination 2023–2025, mais malgré cette richesse, il demeure difficile de comprendre le rôle actuel du vélo dans la mobilité quotidienne, les […]

The Biodiversity Mapping Project (BMaP) aims to generate refined mapping tools to address key data gaps and improve how lands and habitats are planned for, managed, and protected in the eastern Georgian Bay region. Indigenous communities, municipalities, conservation organizations, and land managers currently rely on land-cover and habitat maps that are outdated or too general […]

Simulation studies are widely used in pharmaceutical research to evaluate operating characteristics of statistical methods proposed for regulatory analyses. Central to such studies is the ability to compare against a known “truth” implied by assumed the data-generating mechanism. In practice, however, this advantage is often limited than assumed, as the target is not a simple […]