Design Automation and Optimization Using Artificial Intelligence

The goal of our proposal is to develop three automated processes in the field of construction using artificial intelligence. The first process is to develop a method that can convert two-dimensional drawings into three-dimensional models that can be further manipulated on a computer. The second process is to optimize the cutting of raw materials– such […]

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Lifelong reinforcement learning with autonomous inference of subtask dependencies

In this project, we propose a continual learning approach to face the problem of forward transfer in complex reinforcement learning tasks. Concretely, we propose a model that learns how to combine a series of general modules in a deep learning architecture, so that generalization emerges through the composition of those modules. This is of vital […]

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Causal Recommender Systems for Sequential Decision-Making

Recommender systems (RS) are intended to be a personalized decision support tool, where decisions can take the form of products to buy (e.g., Amazon), movies to watch (e.g., Netflix), online news to read (e.g., Google News), or even individuals to screen for a medical condition (e.g., personalized medicine). For digital users, RS play an essential […]

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Vaolo – Priorisation de contenu dans un fil continu

Vaolo est la plateforme de l’organisation non gouvernementale à but non lucratif (ONG) Village Monde. Il s’agit d’une plateforme technologique innovante dans le secteur du voyage, au croisement entre les plateformes transactionnelles, collaboratives, les réseaux sociaux et le partage. Par son positionnement unique la plateforme Vaolo est appelée à accumuler d’importantes quantités de données avec […]

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Taking the Problem Oriented Medical Record Forward: The Aurora Design, Constellations, Intervention and Planning Approach

Value-Based Healthcare (VBHC) is becoming a leading approach to improving patient and health system outcomes around the world. This research is to develop a new problem oriented record for the VBHC where it can analyze the Patient Progression which is the hospitalized patient journey through the required care events, actions and processes to achieve a […]

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Data analysis and image processing for livestock identification

OneCup provides cattle management solutions to the livestock industry. Our AI is called BETSY – Bovine Expert Tracking and Surveillance. Using artificial intelligence, we put a rancher’s skillset into a device the size of a small book. With several types of cameras, BETSY can ID and track cattle activity 24×7. For example, she can track […]

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Learning priors for data-efficient causal discovery

The inference of causal relationships is a problem of fundamental interest in science. Compared to models that rely on mere correlations, causal models allow us to anticipate the effect of a change in a system. Such causal models have applications ranging from government policy making to personalized medicine. However, learning causal models from data is […]

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Towards Automating Ore Sorting with Rich Sensors

To make mining more efficient and environmentally friendly, transportation of rock should be minimized. Ideally we would only transport those rocks that contain economically extractable amounts of minerals. MineSense has developed sensors that can detect the level of minerals in rocks and, in particular, can detect very low levels with high accuracy. This proposal is […]

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Interactive Visualization of Design Stories for Parametric Design Systems

This project involves the development and implementation of a visualization, analysis and exploration prototype for a parametric CAD tool. The prototype focuses on the design process; that is, the collection of actions taken by designers as they develop solutions. The visualization will allow designers to analyze, understand and make better decisions based on single actions […]

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Project ABCI: Authorization, Booking and Coordination Internships for widespread Testing and Vaccination for COVID-19

Ensuring efficient and effective disease testing during a pandemic requires the integration and automation of complex, versatile assessment, scheduling, and planning tools. Project ABC, funded by Canada’s Digital Technology Supercluster, will deploy technologies that enable the BC health system to deliver a high volume of COVID-19 tests to the patients who most urgently need them, […]

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