The project is to break down shoppers into different groups. Shoppers have different preferences, for instance some shoppers tend to buy online in the morning, some might prefer purchasing online at night. If one could group together shoppers based on their different shopping behaviours, one would then be able to come up with personalized sales […]

The main purpose of the internship is to research and create a product that can be used by insurance companies to streamline their claim processing pipeline. The task is to take images and text provided in an insurance claim and generate a prediction for the cost to repair the damage that is closer to the […]

There is no memorandum project overview associated with this application.

Pelmorex (Owner of the brands TheWeatherNetwork and MeteoMedia) operates weather information services accessed by all Canadians on desktop computers, mobile apps and Television. The mobile app is one of the most downloaded and used app in the country in both Apple/Google ecosystem of smart phones/tablets. Continous and accurate location data is collected from the apps […]

There is no memorandum project overview associated with this application.

The agriculture industry is a labour intensive industry. Using a reliable method of plant monitoring can greatly help farmers to reduce their labours and consequently their production costs. Creating an accurate 3-D model of each plant or vegetable provides farmers with more information about the growth stage of the plant which helps them to make […]

Search is an important way people get the information they want. Whether we want to find more content about a specific topic, or get general information on a subject, search engines lie at the core of this process. At Flipp, search plays a crucial role in the overall user experience and drives relevant content to […]

In this research, we propose a model learning documents to fixed-length embedding vector space. This is meaningful, because in vector space, we can find similar documents or measure the relations between documents by simple linear algebra calculation. One of state-of-the-art methods is to apply deep Convolutional Neural Network on language sequences and thus learn different […]

This project is dedicated to the development of a new business corpus as a novel data for the company’s business intelligence. It focuses on linguistic pre-processing for the business domain using two types of collected corpora: text and speech. An automatic annotation of the pre-processed business corpus will be completed using labels related to sentiment […]

The proposed research project aims to increase the accuracy of a model used to predict future glucose levels 1 hour ahead of time, with ~90% accuracy. This model should be able to detect, ahead of time, situations where the blood-glucose level is either too high or too low which could lead to complications for the […]

ROSS Intelligence enables legal professionals to find analyze legal issues and find hidden information and cuts down on research time by using artificial intelligence specialized in legal research. Recent advances in neural networks applied to natural language processing have brought results that are close to human performance in some tasks. However, this approach is still […]

Large software systems are updated incrementally to add new features or fix bugs. It is a common practice in the software industry to have each incremental change reviewed by a peer to detect software quality issues and transfer knowledge among team members. While peer review boasts technical and non-technical benefits, it is still primarily based […]