Abnormal Detection for Language Assessment

A typical language test usually consists of four parts: speaking, listening, reading, and writing. Both audio and text data from the test takers will be collected and used by the automated scoring system. During the test, some test takers will intentionally/unintentionally provide abnormal answers, which may contain memorized content, repeated sentences, and meaningless or off-topic […]

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AIDOX – Document Verification System

To validate structured trade contracts for language and economic term correctness, the existing document understanding systems use machine learning methods, natural language understanding, and text analysis, to extract data elements from financial documents. This can be expanded to a wide variety of financial documents, especially customer-provided reference material. The project focuses on document information extraction […]

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Multimodal Game Event Detection via Machine Learning

The partner company (AMD) is a major innovator in the field of computer graphics and visualization, they manufacture Graphical Processing Unit (GPU) which are used by many gamers around the world. While playing video games, gamers tend to perform out-of-band actions such as saving the last few minutes of gameplay after a challenging fight in […]

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Learning causal world models at scale

In order to navigate the world, an autonomous agent must build a causal model to understand the effects of its actions. In many tasks (automated car driving, automated medicine), collecting causal data, by performing arbitrary actions for the sake of measuring their effect (interventions), can be impractical, expensive and even unethical. On the other hand, […]

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Analyse en temps réel de signes vitaux grâce à l’application de techniques d’apprentissage automatique et à la synchronisation d’une pluralité de senseurs physiologiques

La photopléthysmographie (PPG) est une méthode non invasive mesurant les changements de volume sanguin dans les tissus. Cette technique permet de dériver des métriques physiologiques importantes, telles que la fréquence cardiaque, la saturation en oxygène et la pression artérielle. Cependant, pour des résultats fiables, il est crucial de prendre en compte les différences physiologiques des […]

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Simulation of Device Location Changes

Mobile devices are essential in today’s enterprise, enabling workers to carry out their duties effectively. However, losing or having such devices stolen can be detrimental, making it important to locate them at any given time and place. The project aims to develop a simulation tool that generates location data for mobile devices in real-life scenarios, […]

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Accountium – Machine Interpretation of Client Instructions

Creative Emporium provides digital Account Maintenance, minimizing human intervention. Using cutting edge technology, Phase I of the Accountium platform has been completed in 2023 April. Now, the company has identified a need to streamline the hiring and payroll process for their clients. They like to embed a payroll module as an integral part of Accountium […]

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Efficient Avatar Facial Control for Social Presence in Mixed Reality Remote Collaboration

The objective of the research project is to develop a comprehensive framework for avatar-mediated communication in AR/VR environments, with a focus on avatar facial expressions. The framework is intended to enhance the efficiency of communication in Mixed Reality (MR) remote collaboration situations, which can be variously applied to education, industry, and medicine, by providing a […]

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Hybrid quantum safe certificates for heterogeneous contexts of use

In the context of the rapidly changing digitization of our society and the emergence of quantum computing, securing digital communications is of paramount importance. Among the challenges is the improvement of digital certificates, which are essential for the integrity and non-repudiation of electronic transactions. Thus, a balance must be struck between improved performance, backward compatibility […]

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Intelligent Query and Learning System for Logistics

This research project aims to create an Intelligent Query and Learning System (IQLS) that can integrate knowledge from multiple sources such as documents, web pages, voices, input texts, images, and videos. The IQLS will use learning and reasoning techniques to update the knowledge structures dynamically and allow multiple users to integrate their knowledge packages and […]

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Sean Grindal – Applying emerging AI technology to Enhance Learning in the Classroom

The intern will be participating in research to evaluate ways to apply emerging AI technology and AI products to the Canadian education sector. Education topics of focus include but are not limited to, mathematics, physics, chemistry, biology, and computer science. The intern will evaluate the current AI landscape to discern the capabilities of the technology […]

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