The goal of the project is to implement real-time state of the art object recognition models on wearable devices. These devices aim to help people living with a visual disability by providing a description of their outdoor environment and offer navigation guidance. This would improve the experience of the users by allowing them to perform […]

The project aims to facilitate the research and development of new drugs by exploring Machine Learning methodology useful for both the generation of new molecules and the prediction of molecule properties. Doing so will involve training deep learning models on a large number of small, heterogeneous datasets, with the objective of transferring learned representations quickly […]

Brain MRI scans are a critical component in the diagnosis of neurodegenerative disorders. However, there is a wide diversity in terms of the image quality and resolution obtained from different MRI scanner. In particular, it is common to find coarse resolution MRI scans (e.g. every axial slice is 3-5 mm thick), which limit the type […]

Machine-transcription of speech into text is very helpful in many scenarios. Consider the case of machine-transcription of conversation between a Doctor and a patient. If we are able partition and identify the segments of patient’s speech from those of doctor’s, then the transcribed text is more structured and can be more helpful for further use. […]

The Internet of things is a global infrastructure that enables advanced services by interconnecting physical and virtual things like smartphones, sensors, computers, machines or buildings. These devices typically create enormous amounts of data that can be used to create business value. Mnubo offers a software dubbed Smart Objects that is a comprehensive, full stack IoT […]

Logibec Readmission AI is a predictive intelligence tool that accurately identifies the patient’s likelihood of being readmitted within 45 days of discharge. Rigorously and ethically developed with machine learning techniques in partnership with three large healthcare organizations in Québec, the predictive model uses reliable, accessible and timely clinical-administrative and sociodemographic data to provide clinically relevant […]

The purpose of this project is to investigate self-adaptive forecasting and anomaly prediction algorithms based on deep neural networks (DNNs). DNNs present a compelling technology due to their wide-spread availability through open-source projects (e.g. TensorFlow, MXNet). However, usability of DNNs in scenarios outside of image, speech or text pattern recognition is mostly unproven. This project […]

VETWATER (Sainte-Brigide-d’Iberville, QC) produces pet equilibrated water under the commercial name of “VETWATER urinary solution for cats” (VC), which helps preventing urinary crystals and stones (urolithiasis) by equilibrating pH strictly in the 6.2-6.4 range. Besides urolithiasis, feline lower urinary tract diseases (FLUTDs) affect the urinary bladder and urethra of cats without any obvious underlying cause- […]

By being moldable, durable, light, and inexpensive plastic packaging has seen a rapid growth in the use and its disposal is becoming a planetary challenge. Besides sustainable production and consumption globalized trade in waste plastics represents a significant option towards a circular economy. China, who so far represented the greatest importer of this material, recently […]

Workspace Interferences/Collisions happen on construction jobsites when multiple resources (labor, equipment, material, etc.) don’t have enough space to coexist at the same time and will interfere with each other’s operations. These interferences affect performance, delaying the project, impacting cost, and may jeopardize the buildings’ integrity and people’s safety on site. Most of existing models simulate […]

This is a project to update the Literary and Historical Society of Quebec’s permanent exhibit, Doing Time: The Quebec City Common Gaol (1808 – 1867). Since the exhibit was launched in 2011, much research has been done on the history of the gaol.  Doing Time is seen by some 25,000 visitors per year. For some, […]

AA6111 aluminum alloys possess a combination of excellent strength, good formability and good corrosion resistance that are widely use in the car panel manufacture. Direct chill (DC) casting process is typically employed for producing such alloy ingots. Despite its advantages, AA6111 alloys are considered as “hard-to-cast” alloy among 6xxx alloys because of high susceptibility to […]