AI Software Co-op Position

Researching AI concepts and technologies – Search for peer-reviewed, state-of-the-art methods – Implement features and evaluate effectiveness – Develop new/modified methods for applying to our project specifically Deep Reinforcement Learning model training and validation – Train RallyAI using different algorithms – Might be involved implementing/designing algorithms – Examine training logs for learning trends – Validate […]

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AI-Powered Dispute Settlement

The objective of this project is to develop an algorithmic system, trained on both public legal data and proprietary negotiation data, that will provide tailored predictions of likely court-based dispute resolution outcomes and optimal settlements. In the proposed sub-project, a team of interns (JD students) will be modelling and labelling dispute-resolution data on complaints against […]

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Architectural analysis in the context of an IoT-driven modernization process

The Internet of Things (IoT) presents opportunities for innovative systems that can be used by companies to get a competitive edge. In this context, 360-Agency is working on integrating an IoT solution, called Reatinos, into her existing system. Modernizing such large software system is a demanding and costly task, and it requires understanding of the […]

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Uncertainty for prediction quality assessment in clinical settings

Deep learning has the potential to increase efficiency of many routine tasks in medical image analysis. For instance, segmentation, the detection of the boundaries of specific target structures like organs or tumors, is a tedious and time-consuming chore for clinicians. Robust deep learning models could assist medical personnel for this type of task. However, automatic […]

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Bitcoin Well Web Services – Ghostlab – RES0054117

Ghostlab has a few major projects. These include: (1) their Ghost ATM software, (2) their administration panel, and (3) their Bitcoin Well web services. (1) Ghost ATM makes cryptocurrency as accessible as cash. It aims to handle all the necessary components needed to complete cryptocurrency exchange so that users receive and simple and convenient experience. […]

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Knowledge extraction and organization to support question-answering

The project aims at developing a question answering system for the National Bank of Canada, which can be used to answer the questions by users in the domain of banking and financial services, as well as human resources. The NBC currently uses a generic QA system from which some limitations have been observed, namely the […]

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Identifying and Modeling Families of Serial Tests

Ciena is a leading corporation supplying IT products. Before delivering any product, the company makes sure all products go through a set of tests which are recorded into log files. Operating in a crowded and highly competitive market, Ciena is continuously running after innovation for remaining highly competitive. Therefore, the company wants to increase their […]

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Prediction of AL Amyloidosis Using Machine Learning

AL amyloidosis is a rare protein disorder that can be often fatal if it is not diagnosed and managed early. This disorder is caused by misfolding of proteins that clump together and form amyloid fibril deposits in major body organs. Diagnosis of AL amyloidosis is often not easy as the signs and symptoms can be […]

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Modélisation de la reconnaissance de visages: Une étude combinant MEG et réseaux de neurones artificiels

Ce projet est l’interaction entre les deux champs de recherches, Intelligence Artificielle (IA) et Neurosciences. Cette interaction est également permise par le développement récent de modèles, provenant de l’IA, ayant pour but d’aider la compréhension de certains processus neuronaux. Nous souhaitons contribuer à cette interaction en nous concentrant sur la modélisation des aires visuelles impliquées […]

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Business Process Automation / Data Analytics

I will be working on a series of use-cases focused on task automation and data analysis. The goal is to increase efficiency by removing low-value-added work from employees, to free up their time for high-value-added work. The ultimate goal is to improve Spartan’s excellent standards of customer service and experience.

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Development of an automatic recruitment system using machine learning techniques

Computerization of tasks, adaptation to future skills, new training techniques, and cultural diversity are the main challenges that today’s employers face on a daily basis when recruiting new candidates. The increasing complexity of the process of searching for qualified candidates and the high turnover of talent are issues that arise from this new reality. In […]

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