Videns Analytics aide leurs partenaires à exploiter efficacement leurs données par le développement d’outils informatiques. Ils aident essentiellement leurs partenaires dans la transformation numérique. Grâce à l’expertise de Videns Analytics, les avancées technologiques peuvent être transférées durablement vers des partenaires québécois. Aujourd’hui, la plupart des entreprises, notamment au Québec, utilisent des outils simplistes (p. ex. […]

This project will develop appropriate strategies for a “Smart Community” of the future with respect to the integration of food growing and processing spaces into the community. This may range from rooftop greenhouses, residential growing sunspaces, community gardens, food producing building components, etc. As well this proposal will investigate how food production will interact with […]

Softelo est une entreprise de développement de logiciels informatiques. Notre premier logiciel à ce jour se nomme Billmate et c’est sur Billmate que se concentrera le stagaire. Billmate est une application web multifonctions combinant Commerce en ligne, un outil de gestion des relations clients (CRM) et un outil de facturation. Notre outil vient centraliser les […]

This research will explore the connections between nature and people in Indigenous Protected and Conserved Areas (IPCAs). These values will be articulated by identifying the ecosystem services (i.e. the goods and services provided to people by nature) and determining which of these hold significant cultural values. These values will be compared using a variety of […]

The recording of brain activity through neural Implantable Medical Devices (IMDs) has a wide range of applications, such as studying brain patterns for seizure detection or brain stimulation to alleviate motor disorders. Some IMDs communicate with an external interface platform, which offloads the recorded data from, programs, and supplies power to the IMD. However, existing […]

Around 4 billion tonnes per year of crop and forest residues (biomass) are burned in open air, because they are often loose, wet, bulky, and too expensive to collect and centralize for subsequent conversion into useful products. This results in air pollution, and in some cases, exacerbated wildfires. In this project, we are applying machine […]

It is extremely challenging for clinicians and health researchers to extract insights from unstructured text data at scale. Recently, there has been a significant advancement in Natural Language Processing. Large deep-learning models, most famous of which are the transformers, generate pre-trained embeddings and are developed to extract insights from massive amounts of text. This project […]

Rapid growth of cryptocurrencies has drawn the attention of practitioners, regulators, and scholars. The trading venues for these digital assets display a number of features that make them a sui generis laboratory for studying price formation and market efficiency. One notable feature of cryptocurrency is high and strongly time-varying yields, whether measured by APRs offered […]

Deep reinforcement learning has achieved great successes in recent years. One of the primary challenges faced by such methods is the high cost involved in training a system that demonstrates the desired competency and performance. This project aims to study and compare the available techniques for improving the training efficiency and effectiveness of reinforcement learning […]

Solid State of Mind uses automatic methods to adjust the details of the architectures and learning methods (i.e., hyperparameters) for some of its algorithms. However, this process is often slow and costly in terms of resources and energy. Through this internship proposal, Solid State of Mind wishes to study the possibility of accelerating the automatic […]

In the framework of this project, it is aimed to develop a novel therapeutic approach for the treatment of chronic rhinosinusitis. Since its pathology is complex, application of the conventional antibiotics is not much efficient therefore it is defined as a difficult-to-treat disease. To overcome those challenges encountered in the usage of conventional therapeutic approaches, […]

The project involves the investigation of perovskite solar cells fabrication for indoor and outdoor applications based on a method that can be used for industrial production. The intern will first study the optimization of perovskite solar cells by choosing the appropriate hole transport layer for the device stack provided by Rayleigh. This device architecture can […]