The project offers an original solution to the problem of the possibility of religious language as posed by Immanuel Kant. Using a method he called “transcendental,” Kant grounded the possibilities of knowledge in objects, rejecting Christian theology. Thinking religion today therefore means contending with the Kantian frame, either upholding its Enlightenment principles and rejecting the […]

The Southern Ocean plays a pivotal role in the climate system by taking up and redistributing heat and carbon globally. This leading order role is attributed to the Southern Ocean’s unique circulation whereby deep waters are brought to the surface by a vigorous wind-driven upwelling. Since these deep waters are rich in dissolved inorganic carbon, […]

We want to determine the relationship between weather such as rainfall and temperature on outdoor grown hemp. Specifically what these variables do in terms of changing the content of THC and CBD in certain varieties of hemp. Our goal is to give farmers the knowledge so that they can determine when is optimal time to […]

Automatic segmentation and detection of cells is a fundamental task in relevant medical fields such as histopathology, hematology, and cytopathology. Deep Learning methods show promising results, but often require excessive amounts of data, which is a major barrier to entry, especially for experimental cellular imaging data. This project aims to develop a state-of-the-art cell detection […]

In recent years, an increase in industrial robots in manufacturing has emerged. However, there are still possible safety issues and difficulty in specifying tasks for the robots to perform. The objective of this research project is to make a path planning system that uses demonstrations of how to perform a task to learn how to […]

We have developed microfluidic polymer chips, and their associated reader for rapid differential diagnosis of disease states2. Each polymer chip is 2?2 cm2, and needs only 10 ?l of whole blood sample of the patient for diagnoses. The turnaround time from introducing the blood sample to get the results is 15-30 min. The chip contains […]

Vehicles that are able to autonomously move in the air, on the ground, or underwater must fuse various forms of sensor data together in order to ascertain the vehicles location relative to objects or a map. Typical sensor data includes inertial measurement unit data and some sort of positioning data, such as GPS data. However, […]

This project aims to improve the throughput of the production system at ArcelorMittal through better coordination between the production operations. The project proposes a sophisticated discrete-event simulation model to analyze the impact of all important parameters of the production system, such as steel temperature, furnace heat duration, ladle movements, and heat loss at ladle. Several […]

Noise affects everyone, and our cities try to limit noise impacts through effective policy. We focus on the issue of night noise, where the needs of different people can vary widely between wanting quiet for sleeping and for the great nightlife that cities are known for. This collaboration between the City of Montreal and the […]

This project will allow us to develop a microelectronic chip prototype of an energy-efficient AI processor. The AI processor exhibits a 1000 times reduction in power profile compared to standard cloud-based GPUs. Tasks that can be transferred from server GPUs to this solution and deploying our AI-Processor solution to EDGE can estimate substantial energy savings […]

Just as every computer needs a processor, every processor needs a cooling system. Without one, the significant heat generated by the processor will overheat the system. As time has advanced, this heating issue has only become more critical, thus necessitating the advent of more effective cooling solutions. Microgaps, which pass coolant through, as the name […]

Currently, the service provided by GRAD4 has an interface for visualization of CAD models. However, there is still room for improvement in speed and comprehensibility for the users: both manufacturers and buyers. The main challenge of implementing the improvements is in relatively high computational cost of such visualizations: while a regular PC handles such task […]