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This research proposes a way to make speed up video game testing by creating a tool that can understand how a player moves through the game without any special information. Usually, video games are tested manually to find bugs and problems, which takes a lot of time and effort. The proposed solution would use gameplay […]

Multiple sclerosis (MS) is a chronic and progressive autoimmune disease that affects the central nervous system (CNS), including the brain and the spinal cord. In MS, the immune system attacks the myelin that covers the neuronal fibers, resulting in inflammation and damage of CNS that leads to a wide range of symptoms concerning movement, sensation, […]

Videns Analytics est une compagnie qui approche cinq ans d’existence et qui regroupe une quarantaine de collaborateurs. Pour sa gestion interne, la compagnie utilise plusieurs outils qui touchent différents domaines comme par exemple: – la gestion des heures des collaborateurs, utile notamment pour la facturation; – la planification de l’affectation des ressources humaines sur les […]

With recent advances in microscopy techniques for calcium imaging, scientists are now able to monitor the neurons in large brain areas of living animals. However, this also creates significant challenges for scientists who must make sense of the large and complex datasets generated. As a result, there is a need for new componential methods and […]

This research project aims to develop AI based models for predicting visual saliency in gaming videos. Visual saliency refers to identifying the most relevant and important areas in an image or video. This technology has numerous applications, including improving video compression and optimizing the backlight dimming of displays, leading to better user experience and power […]

This research project aims to improve the care of children with severe mental health or substance use disorders by developing a ML model that can predict which children are most likely to need hospitalization. The project will analyze data from various services, including transitions into the adult mental health/addictions system and examine hospital admission outcomes […]

Forrest Green, in collaboration with Saint Mary’s University, will work with the intern to successfully develop and implement new web solutions and module for Police Services across the country. The intern will work on innovative dashboards to support crime trends and crime data (external) as well as aggregated officer data for use of system analysis […]

Parents, teachers, administrators, and senior governments all recognize the importance of K-12 Computer Science (CS) education in preparing tomorrow’s citizens for both future job opportunities and social issues caused by information technology. For example, Ontario’s 2020 math curriculum adds both coding and Social-Emotional Learning (SEL). McMaster Start Coding (http://outreach.mcmaster.ca) is one outreach program who has […]

Fiddlehead Technology is taking the art and science of predictive forecasting to a new level, working with machine learning to find elegant solutions to some of the fast-moving consumer goods (FMCG) industry’s most complex problems. Fiddlehead is employing big data analysis and forecasting to revolutionize the food and beverage supply chain, solving the hard problems […]

E-SMART commercialise un produit qui offre aux flottes de camion une façon innovatrice d’assurer la conformité aux panneaux de limite de vitesse de leur véhicule. Les principaux clients sont des flottes de camions aux États-Unis et aux Canada. Pour contrôler la vitesse du véhicule, E-SMART s’interface directement entre la pédale d’accélération et l’ECM d’un véhicule. […]

AI tools based on deep learning has recently been suggested for many complex problems where a large amount of data is available. We will be working similar AI tools but problems from very different domains, namely, airport delay management after disruption and predicting prices of fresh produce under challenging climate conditions. Establishing a recovery flight […]