Neuro-inspired cognitive architectures for artificial metacognition and social learning

Since artificial intelligence will play a crucial role in our daily lives, it is important that, along with increased task performance, socially intelligent agents will be able to cooperate efficiently with humans. However, human social cognition is a recent evolutionary event that relies on an advanced cognitive architecture. While the unconscious brain, also referred to […]

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Development of a sustainable business model for microplastics monitoring in the environment

After emerging as one of the top 5 finalists in the Acquahacking Lake Winnipeg Challenge 2020, https://www.iisd.org/system/files/2021-01/aquahacking-lake-winnipeg-2020.pdf, the current co-founders of the AbbaTek Group Inc. have been working assiduously to get the company off the ground. AbbaTek is a for-profit social enterprise in the sustainability and clean tech sector that is committed to contribute meaningfully […]

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Automatic Generation of Personalized Feedback in Intelligent Tutoring Systems

As Intelligent tutoring systems such as Coursera, Korbit become popular, a great way for students to learn is by receiving feedback for incorrect answers. Since manual feedback generation on large educational texts seems impracticable, an important goal is to create hint generation systems from student-teacher conversations. These systems can be deployed as chatbots giving hints […]

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Particle Size Classification for Gravel Aggregate

McIntosh Sand and Gravel Ltd. (McIntosh) is a Saskatoon based company that performs gravel crushing and processing for industry and municipalities throughout Saskatchewan. McIntosh’s mission is to disrupt the aggregate industry through the application of new technologies that will help decrease costs and streamline processes. Saskatchewan Polytechnic will work with McIntosh to develop a digital […]

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Using Machine Learning to locate geological deposits

Saskatchewan Polytechnic (SP)’s Digital Integration Centre of Excellence (DICE) and geological experts at Peter Lucas Project Management Inc. (PL) will collaborate on the development of a digital system to locate aggregate sources with a large gravel content. Gravel is a non-renewable resource that is used in almost every aspect of construction. The identification of sources […]

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Training of Neural Networks via Gradient Descent and Solvers

In Deep Learning, one of the most important determinants of the performance of a model is the training procedure used. The ideal training method produces a model that is accurate and fast, it should work on models of various sizes and be flexible enough to allow users to specify conditions they want the model to […]

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Managing Requirements in Software Ecosystems

The general objective of this project is to identify what the existing practices and associated challenges that orchestrators face when coordinating and managing requirements in the software ecosystem, placing an emphasis on third-party integration partnerships. This includes investigating the relevant stakeholders including customers, third-party integrations, other successful software ecosystems, competitors, and the platform itself. The […]

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Artificial Intelligence / Semantic Similarity Project

Avondx developed a Voice Analytics solution to assist companies in enhancing Customer Engagement by monitoring Customer Service Agents (CSA) interaction with customers in the retail market. Avondx wants to improve its voice analytics solution that can determine the semantic similarity between many different phrases. We are looking for assistance with artificial intelligence and neural network […]

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