It is hard to understate the critical role access to a patient’s comprehensive medical history plays in diagnosing (and treating) patient illness. For a doctor, knowing the latest prescribed drugs of his patient might, for example, point directly to the cause of an illness — which might be just a drug side effect. Yet patients […]

It is hard to understate the critical role access to a patient’s comprehensive medical history plays in diagnosing (and treating) patient illness. For a doctor, knowing the latest prescribed drugs of his patient might, for example, point directly to the cause of an illness — which might be just a drug side effect. Yet patients […]

The objective of this project is to develop techniques and tools that leverage artificial intelligence to automate the process of handling system crashes at Ericsson, one of the largest telecom and software companies in the world, and where the handling of crash reports (CRs) and continuous monitoring of key infrastructures tend to be particularly complex […]

The main goal of this project is to develop machine learning and natural language processing approaches to help customers to communicate their preferred brands and/or retailers via Heyday solutions. These approaches will automate answers and help to humanely engage with customers. In order to reach these objectives, some challenges will be tackled such as automatically […]

L’imagerie cone beam CT (CBCT) prend une place de plus en plus importante dans l’exploration des structures osseuses du complexe dento-maxillo-facial. Cette modalité d’imagerie, moins irradiante que l’imagerie par tomodensitométrie conventionnelle (TDM), procure des images de qualité similaire, voire supérieure, à celle des images TDM. Toutefois, les rapports Signal/Bruit ne sont pas assez élevés, et […]

The goal of this project is to help automate the process of scanning buildings with consumer digital cameras. Currently, fully automated scanning with a commercial camera produces inaccurate scans, while accurate scans require significant manual effort on each individual photograph (of which there are many) of the building to be scanned. We plan to use […]

L’objectif du projet est d’ameliorer I’alignement strategique des technologies de I’information (TI) au sein des organisations. Le projet se divise en trois objectifs principaux. Tout d’abord, Les problemes rencontres par les entreprises dans la conduite de projet d’alignement strategique seront recenses et documentes. Ensuite, en faisant usage d’un tableau de bord equilibre et en se […]

Ce projet vise à développer une plateforme web d’évaluation de l’activité physique auprès de personne souffrant de maladies chroniques (Diabète, Maladies Cardiaques, Haute Pression Artérielle…). Elle sera facile d’utilisation et destinée aux intervenants travaillant dans les cliniques médicales. Elle exploitera les données provenant d’un capteur de pas (podomètre) et d’un questionnaire pour calculer des indicateurs […]

We apply Artificial Intelligence (AI) on Sentiment Analysis for the Assessment of Financial Fitness (SAFF), which can help an individual to understand one’s latent feeling and reservation towards money saving, spending and planning. The SAFF framework can be applied to not only financial institutions, but also other sectors, e.g. healthcare, rehabilitation and education. Sentiment analysis […]

For different software packages created using different tools to interoperate, an intermediate layer called API bindings is needed. These bindings can be created by hand, but that takes time and needs to be updated whenever one of the packages changes. Since these bindings are often quite repetitive, it is reasonable to try and generate them […]

The goal of this project is to develop new machine learning methods and computational strategies to mega-analyze data from well-characterized datasets on chronic pain conditions to develop a genetic predictive tool. This tool will be implemented in an online interactive dashboard and used by the Quebec Pain Research Network (QPRN) community. This collaboration with Plotly […]

Our interactions with actors in the financial services industry, including our partner company, uncovered that they possess large amounts of data pertaining to investors and markets, but have yet to extract/learn information of significant value from that data such as expected actions by clients. The industry is conscious of this, but while they are making […]