The recent legalization of marijuana in Canada opens the opportunity to study in detail the effects of cannabinoids on human physiology. This academic-industry initiative will combine resources to isolate compounds from cannabinoids to study their effects on bone cells. Specifically it will examine the effects of cannabinoid compounds on how the destructive osteoclasts form and […]

It is well known that physical activity can confer many health benefits, both physically and mentally. However, individuals with serious mental illness are less active than the general population. This is particularly troubling as this population tends to have many physical health co-morbidities such as metabolic syndrome and type 2 diabetes. It is logical that […]

The objective of the project is to investigate how machine learning techniques can be used to detect anomalies in volumes of transactions. This requires the student to conduct a literature review about the topic as well as experimenting with a subset of selected machine learning techniques. The results from the research could help the partner […]

For an Autonomous Vehicle (AV) to make decisions and drive independently on urban streets, the problem at hand can be broken down into many phases, two of which are perception and prediction. Perception refers to the process of extracting valuable information from the environment using data collected by sensors such as LIDAR and camera. This […]

In recent years, deep learning has led to unprecedented advances in a wide range of applications including natural language processing, reinforcement learning, and speech recognition. Despite the abundance of empirical evidence highlighting the success of neural networks, the theoretical properties of deep learning remain poorly understood and have been a subject of active investigation. One […]

Finite Element Analysis (FEA) breaks object components into numerical finite elements and calculate their performance individually. As long as the finite element is small enough, the performance of the entire part can be simply obtained by adding up all the performances of finite elements. However, the giant number of finite elements in 3D models makes […]

Electrocardiography or ECG is a technology that can be used to monitor the electrical activity of the heart over a long period of time. Such signals can be utilized for interpreting both the structure and function of the heart. Traditional ECG designs consist of several electrodes that need to be placed directly in contact with […]

Pelmorex (owner of the brands The Weather Network and MeteoMedia) operates weather information services accessed by all Canadians on desktop computers, mobile apps and television. The mobile app is one of the most downloaded and used apps in the country, within both the Apple/Google ecosystems of smart phones/tablets. Continuous and accurate location data is collected […]

Machine Learning has just started to be applied to the Legal Domain. ROSS Intelligence makes it possible for legal professionals to work faster and more effectively. Advanced Recommender Systems have not been previously applied in the Legal Domain. Yet state of the art models such as ones using Deep Collaborative Filtering have proven to be […]

ROSS enables legal professionals by providing tools that harnesses the power of artificial intelligence to make the research process more efficient. Advances within machine learning and natural language computing enable systems to achieve close to human performance. Many state-of-the-art methods have not been applied to the legal domain, leaving opportunity to enable development for the […]

Metabolic disorders are growing into a large health crisis worldwide. One common fact shown in these diseases is impaired function of mitochondria. Several treatments for metabolic diseases therefore aim to normalize or even boost up the activity mitochondria. The role of peroxisomes, on the other hand, is relatively neglected, despite its close connection with mitochondria. […]

Modern robots depend on numerous hardware devices and human interaction in order to perform their task. These dependencies, in addition to the distributed nature of these systems, make automated full-system testing difficult. Current testing practices are insufficient as they only test a single component of the system or require costly manual labor. Many companies have […]