Technological improvements, competition in the survey services industry and the increased use of UAV’s (drone) has driven down the cost of LiDAR acquisition. As a result, LiDAR is rapidly gaining popularity in application in road planning and design. LiDAR data sets typically contain tens of millions of points. Efficiently processing this data efficiently presents challenges […]

Natural language processing (NLP) is a branch of artificial intelligence that focuses on teaching computers how to analyze and understand human languages. The objective of this project is to develop advanced machine learning techniques to extract sentiment from text. We want to improve the current industry standards for sentiment analysis by leveraging the latest results […]

The project aims to facilitate the research and development of new drugs by exploring Machine Learning methodology useful for both the generation of new molecules and the prediction of molecule properties. Doing so will involve training deep learning models on a large number of small, heterogeneous datasets, with the objective of transferring learned representations quickly […]

Feature-rich design software is of critical importance to many industries, including manufacturing, architecture, and construction. A common feature of this software is that, to be used effectively, the user must possess technical competency and an understanding of the specific workflows and practices for using the software within their organizations. In the past, users could get […]

In large-scale construction projects such as naval refits or aircraft overhauls, project execution is subject to considerable uncertainty and a baseline schedule quickly becomes unachievable. For naval environments, high variability in work scope and duration occur at every stage. Furthermore, tools and equipment can fail or not be on-site when needed. Human resources are drawn […]

Voices.com, the largest online marketplace for voice talent, have identified Machine Learning as an enabler for future growth. In particular, incorporating Natural Language Processing (NLP) into structured queries and automatic classification of sample recordings. The first phase of this research involving NLP is in the process of being integrated into production. The second phase will […]

In this project, a new method is developed to optimize the performance of an Unmanned Aerial Vehicle (UAV) for autonomous detection and on-the-job view-planning of infrastructure elements with the purpose of their accurate three-dimensional (3D) modeling. The existing view-planning approaches in the literature have mostly modeled non-complex or small-scale objects and have rarely been adapted […]

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 […]

Aircraft painting processes are very complex and involves several working stages. Besides, several highly skilled workers are required to work in a polluted environment for long periods of time. The automation of these processes would result in several benefits for both workers and companies. This project proposes the automation of aircraft painting processes using autonomous […]

The current project concerns the research and development of solutions intended for identifying and mitigating potentially mission-critical states of astronauts during long-term missions. Interns will research classification rules required for assessing such states based on sensors that could be deployed in a space environment. Part of the work will be to implement these rules into […]

Les sources de production d’énergie font appel à des éléments d’électronique de puissance permettant une gestion de l’énergie électrique produite. Il peut s’agir par exemple de convertisseurs transformant une tension alternative en tension continue, ou inversement. Ils servent de plus à définir correctement les caractéristiques électriques (tension et courant) mises en oeuvre dans les réseaux […]

L’opération d’emballage dans des sacs flexibles de produits en vrac est utilisée au quotidien par l’industrie agroalimentaire. Cependant, un défaut de fermeture d’un des sacs présents sur une palette entraine la perte de toute la palette pour garantir les normes d’hygiènes. Le but du projet est de proposer une solution qui permet de détecter les […]