Cross-Modal Recipe Retrieval

The goal of cross-modal recipe retrieval is to design systems that are able to find a digital recipe, given the user’s image of the food, or find its image, given its ingredients or cooking instructions. For such a cross- modal retrieval task, a common image-text representation space is needed to embed the semantic information of […]

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Neural Networks for Observable Market Data Validation

Observable Market Data is critical for effective valuation of trades for risk management purposes within the investment bank. The valuation process requires the existence of good quality data day by day, and dating back into the mid-2000’s. Not all assets have highly liquid data available either historically or at present, and there is significant interest […]

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Machine Learning Techniques for Speech Enhancement in Audio Conferencing Systems

The core value of Nureva is to provide reliable and easy-to-use audio-conferencing products that offer a good user experience and maximize productivity. A very important factor of that is to output clean audio which oftentimes in its raw form is contaminated with environmental noise, reverberation, and echo. These problems have been researched using traditional signal […]

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Deep Learning with Big Data for Innovation Acceleration

Xlscout has developed/launched many products like Automated Novelty Checker, Techscaper, Company Explorer, NLP enriched Landscaper, etc. The primary objective of this project is to continuously add new functionalities to the existing novelty checker module of Xlscout and also develop new innovative products/features that help in automating research & development. This project is important to XLScout […]

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Digital Energy Platform Use Case Development – Awesense

Awesense is a clean tech company in the energy space whose mission is to accelerate the transition to clean energy by making it easy to build data-driven applications for a decarbonized grid. To facilitate that, Awesense has been building a Digital Energy Platform that electrical utilities, consulting companies and software solution vendors can use to […]

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Application of Health Statistics for Proactive Care Planning in Long Term Care

Shannex wishes to maximize use of its various data sources to generate key insights for health care teams when it comes to care planning/ general care of residents. What is missing from Shannex’s existing resources is a professional who is capable of identifying, and executing on, various statistical/mathematical manipulations to generate/ automate these meaningful insights. […]

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Prototype d’une bourse du carbone citoyenne

Nous proposons un système de bourse du carbone qui offre l’opportunité aux citoyens de participer à la lutte aux changements climatiques. Dans ce système, tous les humains ont le droit d’émettre une certaine quantité de carbone chaque année. Ce quota d’émission diminue graduellement d’année en année, de façon à respecter l’Accord de Paris. Un citoyen […]

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Multimodal Representation Learning from raw data to detect customers emotional state in the financial industry with Attention Mechanism

Currently, call centres effort in this matter is largely reactive. Someone calls in, they are upset, and agents respond accordingly. However, this approach is not always most effective, especially with difficult customers. Therefore, knowing the customers current emotional state is very important for appropriate problem solving. Affective computing can be used to detect and evaluate […]

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New Works XR (eXtended Reality)

New Works XR advances creative digital literacy of Canadian dance artists. It is a multi-faceted project supporting dance makers and companies working with or in early stages of exploring creation involving XR technologies. Designed by artists and XR technicians the project provides catered support: mentoring and consulting, test projects, workshops, virtual community building, peer-to-peer learning, […]

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