Interpretable AI for Seamless Robot Navigation Among People

This project aims to make advancements in mobile robot navigation in crowded environments, which will alleviate one of the key bottlenecks to wider utilization of mobile robotic systems and bring these systems into sectors such as entertainment, travel, health care, and logistics. To achieve this aim, the project proposes to develop robust, interpretable AI for […]

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Recherche participative sur la domestication d’espèces arctiques afin d’accroître la sécurité alimentaire et l’autonomie alimentaire des communautés inuites.

Dans le cadre du projet VertBerry du Défi Cultiver l’Innovation d’ici de la Weston Family Foundation et en complémentarité avec le projet Sentinelle Nord sur la sécurité alimentaire des communautés inuites du Kitikmeot, ce stage de recherche vise à concevoir des protocoles de domestication pour des espèces arctiques comestibles, notamment les petits fruits, permettant ainsi […]

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Machine Learning developer interns working within cross-functional teams to develop and commercialize AI-powered solutions in the Public Services sector (2)

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. Competition for tech […]

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Conception d’un protocole de laboratoire pour l’obtention de données hématologiques d’espèces non mammaliennes

Des bilans sanguins sont régulièrement réalisés en médecine vétérinaire. Ces analyses peuvent également être utilisées pour les espèces fauniques, dans diverses situations. Ces bilans présentent deux volets : la biochimie et l’hématologie. Le deuxième volet permet d’obtenir de nombreuses données sur le sang et sur toutes ses composantes. Pour effectuer ces analyses, les vétérinaires ont […]

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A behavioural planning capability for autonomous aircraft

The objective is to expand on current collision avoidance path planning frameworks in a two-fold manner, improving prediction as well as decision-making components. The first task is to improve prediction models and generate maneuver bands for air traffic circuit navigation. The second task is to then improve the decision-making framework to select the pseudo-optimal maneuver, […]

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Developmental Evaluation of a Province-Wide Personal Health Records Application

MyHealthNB is a province-wide personal health records (PHR) application that provides all New Brunswick citizens digital access to their health information, including lab results, immunization records, medication lists, and imaging reports. Although MyHealthNB was developed with aim of empowering New Brunswickers to be more actively involved in their health and healthcare, the solution has yet […]

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Supervised and Semi-supervised approaches to sample growing and online prediction of customer intent

The company collects survey data from websites which is combined with behavioural data from survey respondents. This combined data set is information rich but can be too sparse for modelling purposes in a straight forward supervised learning context. As such, on-going research concerns optimizing the process by which non-survey related behavioural data can be leveraged […]

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