Ce projet vise à développer une méthode d’estimation du temps de production de pièces similaires par apprentissage automatique. Cette méthode fournira une estimation de chaque champ du temps de production d’une pièce d’avion en ayant comme données d’entrée l’historique de fabrication de pièces similaires. L’estimation du temps de production permettra de raccourcir le délai tant […]

Ce travail de recherche vise à créer une image riche de l’accompagnement entrepreneurial dans le cadre du projet Djonkoli Kènè au Mali. Djonkoli Kènè est menée par le Carrefour de Solidarité internationale en collaboration avec l’Accélarateur entrepreneurial Desjardins et l’association Malienne Kilabo. Ils mettent en œuvre un soutien de proximité basé sur des formations, un […]

ProStudioMasters is poised to become a key player in the emerging market of high quality, high bandwidth, uncompressed audio distributed over the internet. The interns will provide support by compiling information to be included in the container file along with the audio: metadata such as correct attributions (composers, performers), historical circumstances of the recording, analytic […]

There is a growing need to develop new crop protection products that are more effective against fungal disease and mitigate pathogen resistance. The fungicide product development process is time consuming and expensive and there is a great opportunity to reduce costs and time by using machine learning. In this project, an existing deep learning algorithm […]

As a full-service, data-driven solutions provider for aviation, SKYTRAC Systems is developing new 2-MCU satellite communications (SATCOM) terminal, SDL-350, which will be capable of achieving globally available broadband transfer rates of 352 kbps both to and from the aircraft. One critical challenge facing the R&D engineers of SDL-350 is the thermal management, because the power […]

The project involves the investigation and optimization of carbon electrodes to achieve efficient perovskite photovoltaic devices for indoor and outdoor applications based on a method that can be used for industrial production. The intern will first study the optimization of carbon electrodes for solar cells, which will involve materials and device engineering. Then, the intern […]

The main problem this internship project explores is the selection, conversion, and encoding of mathematical models that pertain to the finance industry for processing on available types of analog optimization processors. This research investigation aims to develop new algorithms and code that take advantage of an analog optimization process which acts as an “oracle” for […]

Le projet vise à améliorer un système d’aide à la conduite pour les camions de transport basé sur des caméras embarquées et des techniques d’intelligence artificielle. L’objectif principal est de mettre à jour l’information sur la vitesse maximale autorisée, cette information étant ensuite utilisée pour limiter automatiquement la vitesse des camions. Le défi principal est […]

In shipbuilding industry, selecting an appropriate grade of steel and the associated characterization techniques, tailored well for low temperature application, have always been a challenge. This subject can be even more critical when we are talking about the materials selection and the characterization techniques for polar class icebreakers. Therefore, Chantier Davie Canada Inc. (CDCI) in […]

We aim at developing new approaches which have not been performed so far, such as i) enhancing the resolution and quality of noisy and unlabeled conventional ultrasound images through deep learning SRMs, ii) synthesizing high-quality MRI from the enhanced ultrasound images through generative networks, iii) fusing ultrasound and synthetic MRI images for different aspects such […]

Deepchill and slurry ice is a dynamic medium whose fluid properties change with many different factors such as solute concentration, ice fraction or thickness, temperature, time (settling) and agitation. Once it is generated, it must be stored in different forms depending on the required final applied. Storage, fluidization and distribution of this medium is a […]

Pipelines are an imperative part of the energy sector and have a substantial impact on the Canadian environment, and economy. The slightest mishap in pipelines can lead to devasting environmental impacts as well as huge financial consequences. Therefore, developing sound automated pipeline monitoring by leveraging artificial intelligence (AI) and machine learning (ML) for safe and […]