Online Business Model Prediction Service

In the business, it is critical to understand and predict needs of customers in advance and in precision. Machine Learning and Artificial Intelligence make it possible to extract the desirable properties and predict the objective in the future. This project is interested in the implementation of this concept as a toolbox. The toolbox will consider […]

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Enhanced Techniques for History Matching and Forecasting of Petroleum Reservoir Data – Year Two

History matching refers to calibrating numerical or analytical models by the observed data. However, this task can be very challenging in presence of complex geology and/or many unknown data . The purpose of this project is to introduce and apply the new techniques for efficient creation of predictive history-matched models for reservoir characterization of conventional […]

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Forecasting Profitability of Real Estate Assets using Machine Learning

This research project aims at applying machine learning over the existing financial forecasting methods currently employed in the commercial real estate industry. Businesses are actively collecting more data than what can be analyzed effectively using the standard spreadsheet models which have become industry standard over the past few decades. Machine learning algorithms are known to […]

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Human Body Capture and Prediction from Rehearsed Live Performances

We address the problem of 3D human body motion capture and prediction to be used in the context of a live music concert performances. The difficulty of capturing the motion of a performer in this context comes from the harsh environment in which it takes place that includes strong and varying lighting, smoke generators, and […]

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Oil price prediction using dynamic multiresolution modeling

In this project, we will explore novel modeling methods to predict oil prices, based on a combination of machine learning methods with dynamic multiresolution analysis. The objective is to develop a software to better forecast oil prices. Oil is the world’s leading fuel, and its prices have a big impact on the global environment, the […]

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Adversarial Examples and Uncertainty

While neural networks can classify images with very high accuracy, it was shown in 2013 (original paper by Szegedy et al) that it is also possible to make very small perturbation to an image so that the network misclassifies it (e.g. so that a panda is classified as an airplane). Many variations of this effect […]

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Detection, Management and Prevention of Malicious Traffic and Cyber Attacks using BYOS

Cybersecurity has continued to dominate the strategic priorities of businesses, governments and industries worldwide. A recent report from the Kaspersky lab estimates the total number of online global malicious acitivities to have exceeded 700 million annually. There is an urgent need to develop mechanisms for the rapid identification and management of threats and malicious traffic, […]

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Applied Research in Performance Enhancement for Quantum Annealing

D-Wave Systems develops and manufactures quantum annealing processors. These processors implement a model of quantum computation that seeks to solve hard problems by exploiting quantum effects such as tunneling and superposition. The aim of this project is to study and improve the performance of quantum annealing processors by mitigating inherent and implementation-dependent failure mechanisms for […]

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Power network transfer capability

Hydro-Québec is a public utility that generates and distributes electricity. Despite selling most of its electricity in Québec, its most lucrative sales are in the neighboring markets. To ensure the best possible quality of service, the transmission system must remain stable, but to maximize profits, the company also wants to increase its transmission capacity to […]

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AI to predict emergency visits

ClosedLoop.ai is an AI-based predictive analytics platform that goes beyond traditional claims-based risk scores to use all patient-related healthcare data to provide both clinicians and care managers with a full breadth of timely, transparent and accurate predictions of health outcomes. ClosedLoop.ai helps value-based providers confidently answer a variety of health-care questions like, which patients are […]

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Link predicting in court

The company Lexum is an undisputed leader in the development of information retrieval tools for the law – statutes, regulations and decisions of courts and tribunals. The project is to improve a new tool offer by the company. The tool is used to retrieve a list of legal subjects from a factual description. With that […]

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Simplification of long sentences

The task of sentence simplification can present itself in multiple forms. It could consist in correcting the punctuation of a sentence like so: Avant : J’ai acheté un bateau je l’aime beaucoup. Après : J’ai acheté un bateau. Je l’aime beaucoup. However, a sentence can be both long and written correctly. In this case, it […]

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