VeriGrain is in the agricultural automated sampling and data management business. By providing representative sampling of the harvested grain provides the grain characteristics for maximum profit, helps to determine the risk of spoilage and helps farmers eliminate downgraded and rejected loads of grain at the terminal. Currently the samples are taken at the farm and […]

People who experience mental wellness challenges or mental illness often struggle to obtain or maintain a position in the workplace. Furthermore, lack of employment means individuals lose out on a myriad of mental, emotional, and physiological benefits that are generated through work. This is extremely relevant given the current COVID crisis where personal distancing and […]

According to the Institute for Health Metrics and Evaluation, the number of global deaths and disabilities related to mental health conditions, such as Alzheimer’s disease and related dementias, has risen in recent years. This applies to Canada in the same way, causing premature deaths and disabilities. The general objective of this project is to define, […]

The Mitacs Intern will support the Direct[Message] project to develop and undertake online arts workshops for older adults to reduce social isolation resulting from COVID-19 and develop an understanding of the needs and wants of older adults who experience barriers to participation in the arts. The Intern will interview participants to gain knowledge about their […]

Soyez au coeur de l’expérience muséale! L’Application ÉducArt en VR invite l’usager à découvrir de manière innovante toute une série d’objets et d’oeuvres d’art de collection issus du Musée des Beaux-Arts de Montréal, et à participer, en collaboration avec le musée, à la construction de cette exposition virtuelle. Cette “réappropriation patrimoniale” et gamification de la […]

Recommendations is one of the main ways Kobo users discover content on the platform. By using purchase history, Kobo can suggest other books similar to a certain item. However, this does not provide meaningfulrecommendations in some cases, especially for bestsellers and fiction books. Currently, only for books that have no purchase history does Kobo supply […]

The aim of this research is to investigate from traditional methods to deep learning methods, how to measure the meaning relationship between two sentences, by combining the local context, at word-level, and the global context at the sentence-level, and their ability to model informativeness and diversity of meanings expressed in natural language, i.e. in English […]

Data collection over time is a common practice in many large organizations- including financial institutions and health care providers- often with the goal of using this data to predict future challenges and opportunities. While this data may contain valuable information, it is often unstructured, coming from different sources and recorded at different times. This lack […]

Industry 4.0 is the main strategy to strengthen the competitiveness of the manufacturing sector over the next years. Simulation is a key enabling technology of Industry 4.0, supporting the development of planning and exploratory models to optimize decision making, the design and operations of complex and dynamic production systems. It may also support companies to […]

The goal of the project is to improve upon the methodology behind goal conditioned learning. In this framework, similar to the setup in traditional reinforcement learning, an agent interacts with an environment. However, instead of training the agent to maximize return, the agent is trained to reach a given goal at the end of the […]

Les pharmacies au détail s’appuient principalement sur leurs propres données empiriques pour planifier et prévoir leurs stocks. Ce type de données a ses propres caractéristiques, qui peuvent être saisonnières et être affectées par des événements spéciaux et imprévus tels que les maladies pandémiques. Toutefois, à mesure que la quantité de données s’accumule, il n’est pas […]

Machine learning has been applied in various fields and shown promising results in recent years. Researchers have found that tuning machine learning models in a proper way can vastly boost the model performance with respect to the specific AI task. However, tuning machine learning models at scale, especially finding the right hyperparameter values, can be […]