SOTI SNAP SDK For creating third-party widget

This project dedicates to leverage the use of SOTI snap app to a greater community by providing more flexibility for third-party users and reducing required prior programming knowledge. To do this, we will focus on building a Software Development Kit (SDK) so that third parties can create and publish new widgets allowing SNAP apps to […]

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Hand Pose Reconstruction with Advanced Sensor And Deep Learning

This project explores 3D pose hand reconstruction using machine learning models with sensor data from innovative input devices. The goal is to propose an approach that provides real-time high fidelity hand reconstruction and understand how users perceive its quality to improve user experience and social interaction in AR/VR. The proposed methodology is to train a […]

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Goal-Conditioned Reinforcement Learning

The goal of the project is to improve upon the methodology behind goal conditioned learning. In this framework, similar to the setup in traditional reinforcement learning, an agent interacts with an environment. However, instead of training the agent to maximize return, the agent is trained to reach a given goal at the end of the […]

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Learning Discussion Thread Representations to Empower Content-based Recommendation

VerticalScope is a company that owns online forums in many domains, such as automotive, health, technology, and powersports. VerticalScope uses a content based recommender system to mitigate the cold start problem, where a large portion of traffic on the forums are made by unregistered users. The goal of this project is to learn representations of […]

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Designing ‘Zero credit touch’ (ZCT) pre-approved credit underwriting program for retail customers

ICICI Bank has developed various ‘Zero credit touch’ (ZCT) strategies where without any credit intervention and additional information taken from customers, credit facilities can be provided. But there are several challenges in the expansion of ZCT strategies, namely, (i) current credit models which are a combination of business rules, scorecards and machine learning models, do […]

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Multilingual B2B Supplier Detection and Information Extraction

At Tealbook, we search the web to make the world’s business-to-business supplier websites readily accessible. We extract important sentences and keywords to create a searchable database that buyers can then use to find the right supplier for their needs. But right now, we are limited to servicing English-language organizations. Can we expand our services to […]

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Investigating strategies for optimizing immunity to COVID-19: examining the impact of probiotic lactic acid bacteria-derived secretomes on epithelial cell and macrophage immune activity

Strategies to promote immune defences against COVID-19 infection are urgently needed. The gastrointestinal tract is a potentially important route for COVID-19 infection and for generating protective anti-viral immunity against this pathogen. Certain features of COVID-19 contribute to its ability to evade and subvert our immune defences. Type I interferon is a key immune protein that […]

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iStandardize: Recommendations for Healthcare Form Standardiz

iStandardize is an AI-powered machine learning solution that is designed to streamline the standardization of clinical order sets (i.e., forms) by using machine learning and natural language processing techniques. Currently, hospital networks use multiple versions of forms and order sets, many of them are similar in nature. The lack of standardization poses a challenge in […]

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Monitoring the sustainability of agricultural system for Ontario’s Greenbelt

This project aims at developing information and knowledge that will promote public and policy support for the long-term sustainability of the agricultural system surrounding the greenbelt. Based on a preliminary research led by the Friends of Greenbelt Foundation, this research will develop a monitoring framework for the viability and protection of the agricultural system in […]

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