Software developers have been quick to capitalize on the growing number of children using smartphones, publishing enough educational titles to warrant their own category on the Apple App Store. However, establishing the efficacy and usability of these mobile educational games can be difficult and expensive. Heuristics are commonly used during the evaluation of user interface […]

Deep learning is nowadays one of the most popular areas in computer science which has shown extraordinary performance and enjoyed wide use in a variety of fields. This research project is aiming at exploring the application of deep learning algorithms in two fields: autonomous driving with 5G networks, and facility maintenance with CT scanning. In […]

Les agents conversationnels (chatbot) sont de plus en plus populaires. On n’a qu’à penser à Google Assistant, Alexa ou Siri. Ces agents utilisent l’apprentissage profond afin de classifier les phrases des utilisateurs et d’en extraire les informations pertinentes. Les modèles derrière ses technologies sont d’habitude entraînés sur des corpus (des bases de données contenant du […]

pre-agreed price. The problem of what an option is worth is usually solved using costly numerical simulation methods. We will apply Deep Learning methods to solve the Option Pricing Problem. This cutting edge technique has the advantage that, once trained, the model can simulate many scenarios at a low computational cost. Unfortunately, training is costly […]

Data is rapidly growing in most of the applications and fields. Thus, data is becoming big data as it meets the 5V model of big data: volume, velocity, variety, veracity, and value. As a result, dimensionality reduction and feature selection become mandatory to overcome ML models’ performance and explainability issues. This project looks at feature […]

We are building a machine learning algorithm to be able to better understand the unstructured clinical notes. This will help the medical coder and auditor to quickly navigate the clinical notes and locate the text that corresponding to the codes. Reduce the chance of missing labels and mis-labeling in the coding review process.

The general objective of this research project is to develop a new natural and empathic chatbot by integrating the transformer and intent-based systems. The goal is to implement a system for expressive 3D interactive characters that can move between the structure of an intent-based system with specific Question and Answer pairs and the more open-ended […]

Deep learning and artificial intelligence (AI) technologies are transforming industry by way of automation, connectivity and availability of information technologies. However, AI remains incredibly challenging and costly to implement, often requiring massive data centers and cloud computing to operate. This research seeks to develop optimization methods to create faster, smaller and more energy-efficient AI algorithms […]

Humans possess the ability to see objects as having the same color even when viewed under different illuminations. Cameras inherently lack this capability. A process called auto white balance (AWB) has to be applied by the camera to mimic this behavior of the human visual system. AWB is one of the first steps in a […]

Ce projet est en partenariat avec Hydro-Québec. Il vise à mieux comprendre l’évolution des craques sur les turbines hydroélectriques. Pour bien s’ajuster à la demande d’électricité, ces turbines ont diverses modes d’opérations. Dans ce projet, les réseaux de neurones profonds seront utilisés afin d’obtenir une fonction qui prend en entrée le mode d’opérations et donne […]

The emerging 5G technology has tremendous potential in empowering a wide range of demanding applications. However, the 5G throughput can fluctuate wildly based on several factors like handoffs, user moving speed, user moving direction with respect to the radio base station, the terrain (e.g., obstacles between the user and the radio base station), the density […]

This project will involve using statistical modeling and machine learning techniques in order to identify significant factors that exist in user interaction logs collected from a social gaming system. Next, these factors will be used to inform, implement, and test an adaptive platform for managing and improving behaviors that relate to user experience and/or user […]