Création de projets guidés (études de cas) qui montrent les applications de la science des données dans fonction RH (people analytics) L’objectif est d’aider les entreprises à améliorer la compétence de leurs employé.e.s en Data et à bien les outiller dans la mise en place d’une stratégie IA/Data et de transformation numérique.

The overarching goal of my research is to investigate how the brain learns in order to develop brain-inspired learning algorithms that will reduce the computational cost for many machine learning applications. The standard learning algorithm (or learning rule) for training artificial neural networks (ANNs) can be extremely costly in terms of computation and storage, driving […]

La crise de la COVID-19 a stimulé le besoin de transformation numérique des organisations afin d’adapter leurs modèles et pratiques d’af-faires pour survivre à la pandémie. Compte tenu de la nature de la consommation directe de la plupart des offres culturelles, le secteur cultu-rel semble souffrir de la pandémie de COVID-19 plus que les autres […]

IOTO International Inc’s work is recognized as innovative by some of the largest media organizations in Canada. Their Goverlytics software applies Machine Learning to political data. They intend to extend their software to provide statistical measurements of political discourse similar to performance statistics available in other domains like sports. IOTO is in the process of […]

Software-defined networking (SDN) leverages software to virtualize networking resources and make them more customizable and versatile. SDN is at the core of many ground-breaking advances and a key enabler for major technologies (e.g., 5G, IoT, Industry 4.0, and Smart Cities) that promise to have far-reaching economic and societal impact. To maximize SDN benefits, DevOps, an […]

The two goals of this project are to: 1. create a demonstration information system based on an existing system called Dreamcatcher for consultation, land-use, occupancy, and planning based on the archival material of the Mississaugas of the New Credit First Nation (MNCFN); and 2. use this system and First Story to preserve and promote Aboriginal […]

The intern will be tasked with creating a unique online platform for healthcare providers and veterinarians to be validated, and able to order custom medications. This type of platform does not exist yet. It will involve a thorough embedded validation process, user management, an advanced search and filter function, embedded educational/regulatory/product information, a complex pricing […]

Quantum computers are well-suited to a subset of machine learning tasks known as supervised learning (SL). In SL, a model is trained on labelled data to generate correct labels for novel data thereafter. Robust classifiers can be achieved in SL by using the “kernel trick”, which provides a more expressive metric from a transformed point […]

Hemophilia is a genetic bleeding disorder in which the blood flow is impaired from clotting. If you have hemophilia, you may bleed for a longer time than others after an injury. The primary goal of our work is to enable patients with the condition to make effective decisions when injuries occur. For instance, our proposed […]

We are seeking someone who can work closely with our founding engineers to enhance the various methods we collect and process data from customers. Specific tasks will include conducting secondary and primary source research on data sources of interest (data silos). Tasks will also include producing validation that data sources can be ingested from customer […]

Precision agriculture is one of the top revolutions in agriculture, which is the leading industry in food production for the entire human population. Fertilizers have been the key to boosting crop production and a major source of green gas emissions at the same time. The optimal and sustainable application of fertilizers is a significant challenge […]

State-of-the-art natural language processing tools are rapidly improving in being able to identify real-world objects in texts (e.g. person, location, organization). However, the vocabularies and document structures used in a medical setting can vary from general language corpus from which the NLP models were trained; resulting in poor performance. This project will fine-tune existing NLP […]