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 […]

This project will develop a graph neural network model that generates a prediction (e.g. detects anomalies) together with a set of explanations as to what the model based its prediction on. The model applies to dynamic graphs (such as wireless communication networks), and the explanations generated are either based on the properties of the graph […]

Computer games are one of the main use cases for AMD graphics cards. To ensure the highest performance and quality possible, AMD has to test its graphics hardware and software on dozens of game titles and hundreds of system configurations. While some game titles provide built-in automated benchmarks, the majority of gameplay testing is manual […]

The project aims to facilitate the research and development of new drugs by employing machine learning methods to generate new molecules. This includes understanding various properties about known molecules by training deep learning models for the purpose of molecular generation. The gained understanding of molecules will be used to improve existing models and generate novel […]

A Hydro-Quebec TransEnergie (HQTE), la prevision de la charge (ou « prevision du MW») en operationnel repose sur de; model es parametriques constitues defonctions modelisantes non lineaires. Ces model es sont alimentes par des observations et des previsions meteorologiques, ces dernieres pouvant etre auto corrigees selon la ten dance observee dans Jes derniere; heures. S’ils […]

Identifier les besoins et intégrer des modèles d’intelligence artificielle au sein d’une plateforme connectant la ville à ses habitants dans le cadre d’un projet autonome. La vie quotidienne d’un citoyen est largement influencée par des changements saisonniers extérieurs et par d’autres évènements prévisibles tels que les conditions météorologiques, les élections municipales, les affluences provoquées par […]

Les organisations produisent de grande quantité de données, de divers types, différentes sources et à une fréquence très élevée. Le phénomène des données volumineuses (communément appelé Big Data) constitue une mine d’or pour ces organisations car plusieurs données restent souvent encore sous exploitées. Ce projet vise donc à développer certains mécanismes afin d’identifier des opportunités […]