Surveillance continue des signes vitaux chez l’enfant à l’aide d’un objet connecté, le VTPatch

Les petits appareils connectés qui surveillent les signes vitaux n’existent actuellement pas en pédiatrie. L’objectif de cette étude est d’évaluer la fiabilité d’un patch connecté collé sur la poitrine des enfants pour la surveillance continue de leurs signes vitaux comme la saturation en oxygène, ou la fréquence cardiaque. Nous réaliserons cette étude dans un service […]

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High-Throughput Linguistic Content Sentiment Analysis

Explosive growth of social media has transformed how people communicate, interact, and actively express their opinions about different topics. Scrawlr’s unique model for platform management allows extensive freedom for users to generate their content, creating a novel opportunity to evaluate user opinions and network structure. A popular method to analyze online content is sentiment analysis. […]

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Delphi Tecnologies 2 – Asper school of Business

It is forecast that by 2023, Canada will be facing a critical shortage of pilots. If the launch of Delphi technology’s MVP is successful, it is predicted that the project will significantly aid Canada in this critical shortage. The main challenge with this project is raising the desired amount of awareness for the brand, given […]

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Modélisation de la reconnaissance de visages: Une étude combinant MEG et réseaux de neurones artificiels

Ce projet est l’interaction entre les deux champs de recherches, Intelligence Artificielle (IA) et Neurosciences. Cette interaction est également permise par le développement récent de modèles, provenant de l’IA, ayant pour but d’aider la compréhension de certains processus neuronaux. Nous souhaitons contribuer à cette interaction en nous concentrant sur la modélisation des aires visuelles impliquées […]

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Quantum Training of Neural Networks

We are witnessing an explosion in the use of machine learning (ML) algorithms with significant impacts on the world’s economic and social activities. The backbone of a machine learning algorithm is a deep neural network which is composed of hundreds to thousands of neurons. To make the neural networks (NNs) functional, they need to be […]

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Marketing Specialist

The intern will be in charge of taking our current marketing plan and developing it further to cater to the agritech market. Agriculture is a traditional sector, so we need innovative ideas to get market share. The intern will also be responsible for analyzing the business and market to determine best practices. They will be […]

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Transfer Learning for precise detection of individual cells in multimodal microscopic image data

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 […]

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Automating sleep stage classification using Contactless BCG Sensor

It is estimated that 5.4 million Canadian adults have chronic sleep abnormalities. Symptoms are not visible to patients because they happen during the night. Hence, they remain undiagnosed. Besides, sleep abnormalities can cause different chronic health problems, that is sleep apnea, diabetes, stroke, brain injury, Parkinson’s disease, depression, and Alzheimer’s disease. Thus, measuring sleep behavior […]

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Machine-Learning for design and discovery of next generation CO2 electrocatalysts

Mitigation of CO2 emissions in conjunction with the implementation of renewable energy generation and storage are widely recognized among the most pressing technological challenges of the twenty-first century that aim to address runaway climate scenarios. The UBC team in collaboration with its industry partner (AGORA Energy Inc) has introduced the concept of CO2-to-energy via its […]

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Automatic Species Identification in Underwater Environments

Knowledge of the geographic distribution and identification of species is essential for the conservation of biodiversity. With advances in technology and greater accessibility of equipment capable of recording underwater, it was possible to obtain data efficiently. However, it leads to an immense volume of information collected, which requires exhaustive manual processing that requires label, time […]

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Modeling, simulation and optimization of municipal solid waste gasification process through physics informed deep learning

Municipal solid waste (MSW) refers to recyclables and compostable materials, as well as garbage from homes, businesses, institutions, and construction and demolition sites. Disposal of MSW causes significant environmental problems. It is imperative to develop efficient environmental-friendly treatment technologies to tackle this global challenge. Among feasible technologies, gasification of treated MSW has been considered as […]

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