1-Currently, cows can be “locomotion scored”. These scores include a category for ‘imperfect locomotion’ or ‘uneven gait’ to define a cow that is unsound (favoring one leg) but not clinically lame. However, this detection method does not discriminate whether locomotion originate from the foot or the leg. Claw lesions are easily diagnosed in a trimming […]

The project aims to equip Hydro-Québec’s current and future fleet of inspection robots with autonomous inspection capabilities. The three main objectives of the project are: 1. Leverage breakthroughs in artificial intelligence to enable robotic vehicles to realize real-time automated visual inspection of the company’s infrastructure. 2. Facilitate and accelerate deep neural network (DNNs) machine learning […]

This project seeks to explore the use of a class of artificial intelligence algorithms called reinforcement learning for the purpose of aiding the training of new pilots. In the process, we seek to “teach” an algorithm how to fly an aircraft by exposing the AI pilot to a virtual environment and providing it with flight […]

The research project is focused on the relationship between cancer and telomeres. It is intended to be a functional investigation of the dynamics of TERRA, a long non coding RNA transcribed at telomeres, and hTR, the telomerase RNA subunit, in human cancer cells. TERRA is an important molecule implicated in telomere maintenance and genome stability. […]

Ce projet de recherche, en cours, est mis en place en concertation avec les principaux acteurs de la filière laitière québécoise principalement les producteurs bovins, le ministère de l’agriculture, les chercheurs de la faculté de médecine vétérinaire et l’association des médecins vétérinaires praticiens du Québec. Le but de ce travail est d’améliorer les connaissances sur […]

In natural selection, differential fitness relies on the chromosomal shuffling during meiosis that enables the production of haploid gametes that are genetically different. However, meiotic-induced genetic variability can be an economic burden to the animal breeding industry since offspring often do not inherit the most desirable genes from their parents. Although genomic markers are currently […]

The proposed research will enable customers to see personalized recommendations based on multiple factors such as their order history, their preferences and contextual information such as the meteo and the day of the week. The main expected benefit is to increase the average bill by showing personalized recommendation

The research conducted in Montreal focuses on studying the role of the European Union (EU) in the Convention on Biological Diversity (CBD) through an innovative outside-in mapping. Three dimensions of the EU’s role are examined: its environmental ambition, leadership and diplomatic activity. The project is innovative because of a twofold reason. First, counterbalancing the literature’s […]

La généalogie procède d’une recherche de parenté, de filiation qui nous rattache à un contexte de société. Les archives, autrefois secrètes et dévolues aux experts (historiens et chercheurs), connaissent un regain d’intérêt informationnel mais aussi émotionnel tant au niveau concret qu’un niveau virtuel. La généalogie juive est en marge du mouvement car elle témoigne souvent […]

Il y a un besoin dans l’industrie pour développer des traceurs moléculaires actifs en Raman qui permettraient des mélanges d’un très grands nombre d’agents de contraste. Un partenariat entre l’Univsersité de Montréal et l’entreprise Photon etc. cherche à capitaliser sur une opportunité singulière basées sur des nanotraceurs Raman très polyvalents et sélectifs pour la diffusion […]

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 […]

7.2. Public Project Overview: We’d like to address the issue of 3D reconstruction from 2D images. This means developing a machine learning algorithm that can take a regular photo as an input and generate a full 3-dimensional reconstruction of the contents of the photo. Such technology can be used creatively or to help the coming […]