The main objective of this project is to extract information from documents (Name, issue date, address, account number, etc.) that have diverse set of layouts (bank statements, utility bills, credit card statements, etc.). This problem is challenging because of diversity in layouts, variety of languages and complexity of template structures, which makes traditional NLP approaches […]

The entertainment industry delivers media products around the world to people speaking a large number of distinct languages. To accommodate different languages, the producers typically re-generate the sound stream in different languages in a post-production step, but they leave the same video footage resulting in the desynchronization between the audio and video content, creating an […]

The goal of this research is to explore the extent to which building information models (BIM) can be extended into the operations, maintenance and continuous optimization of CIRS, the Centre for Interactive Research on Sustainability, and the most high-performance building on the UBC campus. The project team will develop and implement a BIM of the […]

Users and businesses have been relying on internet connectivity more than ever before since the COVID-19 pandemic. It is critical for modern network services to be well-planned, organized and monitored by system administrators and network service providers to ensure the highest possible availability, reliability, efficiency, and cost-effectiveness. Network traffic characterization and pattern prediction in-advance can […]

The proposed research project proposes to study how to best provide a student learning portal for children of age 8 to 13 years old. Such system requires to carefully reviewing the literature both in terms of designing for children, and in terms of interpreting the results of usability studies with children. Designing an effective student […]

The goal of this project is to help build artificial intelligence algorithms for the diagnosis of disease using data derived from the human microbiome. This project will be focused on implementing new statistical methods to reduce “noise” found in data from different sources, allowing for us to improve the training of artificial intelligence algorithms. Another […]

ElligencIA est une Fintech spécialisée en Intelligence Artificielle, au service des clients du monde de la Finance (marchés des capitaux, gestion d’actifs etc). ElligencIA cherche à utiliser les technologies de l’intelligence artificielle pour développer des indices de sentiment de marché relatifs à différents actifs financiers. Ce sentiment de marché se fera grâce à l’analyse de […]

Applying Generative Design to Complete Community Planning brings together growing computational practices in generative design with the urban design challenge of planning and building complete communities using urban data analysis. The concept of complete communities is in part inspired by new urbanism which focuses on human and environmental needs. Transportation modes within a community and […]

This project is part of a larger effort towards the decarbonization of our energy by focussing more on renewable energy (eg. solar, wind). Hydro-Quebec is invested in this effort as it is a major provider of electricity throughout Northeastern America. Many renewable energy sources are highly variable; it is therefore important to be able to […]

This project represents the next innovative leap by the TerraByte research group at UWinnipeg and the Enterprise Machine Intelligence and Learning Initiative (EMILI). The focus main thrust of this work is to generate data that will enable machine learning approaches to digital agricultural applications. The data generated from this project includes multispectral, hyperspectral, and 3D […]

In this project, the intern will work closely with the staff of Xanadu, a quantum computing company, to develop educational materials intended for an audience who are comfortable with classical computer programming, but have no prior knowledge or experience with quantum physics or quantum computers. By using interactive, web-based instructional materials, and animated graphics, it […]

The proposed project is to develop a Deep Reinforcement Learning (DRL) model capable of using Light Detection and Ranging (LiDAR) data to automatically analyze whether there is a risk of forest fire due to vegetation management around electric equipment. The model automatically classifies points in a LiDAR scan to determine whether there is direct contact […]