Using web crawling technology in coordination with state of the art machine learning techniques, the project aims to mine useful, structured information about the world’s suppliers from the web. Recent advances in artificial intelligence have increased the viability of such autonomous systems for extracting coherent information from arbitrary human-produced content. By leveraging these technologies, our […]

Developing a model for a system can come with a lot of uncertainty, especially in the early stages of development. Recent research has be done into removing uncertainty during early stage models. Doctalk plans to use modern research to develop a viable product for market, while contributing to the process of the research being applied […]

The company wants to develop a state of art recommendation system for the clients. A recommendation system is a piece of software that provides products’ suggestions to customers on a website. For example the products suggestions that can be seen on Amazon’s web page are generated by its recommendation engine. The typical recommendation engines work […]

Some diseases and brain injuries can seriously impair language. Patterns in an individual’s speech can allow computers to describe these impairment with a high degree of accuracy. These techniques can be used to test large groups of people for drug trials and potentially replace pen-and-paper based testing methods. To fully automate this process, speech recognition […]

In this project, we will apply machine learning to perform image style classification. We will build a system that uses image style classification to increase user engagement in an eCommerce platform setting. We will study the effects of user preferences for particular image styles on their engagement with the platform. Image style classification is the […]

EquitySoft Investments is a private wealth management firm in Vancouver BC specialized in machine-learning trading algorithms. Our Mitacs internship’s objective is to determine which machine learning system works best under certain financial conditions using our proprietary trading algorithms. EquitySoft benefits from this research by being able to leverage expertise on applied machine learning to AI-based […]

Les rapports de sites contaminés contiennent une multitude d’informations pertinentes pour les experts en environnement. Ces rapports décrivent les caractéristiques d’un site contaminé et les technologies utilisées pour réhabiliter ce site. L’extraction des informations pertinentes de ces rapports volumineux exige des ressources qualifiées importantes. Ces informations permettent notamment aux experts d’appliquer cette connaissance à de […]

Bell’s Cyber Threat Intelligence (CTI) team is collaborating with academic institutions in order to further research and develop cyber security analytics for the protection of critical infrastructure and data. The focus of this research is to create and leverage a traffic classification project specifically for network security purposes. This research to design distributed algorithms fast […]

This project proposes to explore and implement a method of storing and retrieving data relating to genetic variation across a population of individuals. Due to the large amount of genetic information each person possesses, such a database requires special attention to minimize the amount of data stored and to create efficient methods of accessing the […]

The primary goal of this project is to explore a variety of new and existing Natural Language Processing (NLP) techniques to improve the performance, and further the automation of, Knote’s text analysis software – specifically with entity recognition. Entity recognition is the process of identifying all groupings of words in a collection of documents that […]

Wedge Networks is a leading cybersecurity solution provider in Canada. In this project, we aim to investigate the application of statistical machine learning and deep learning to cyber threat detection, aiming to detect both network intrusions and malware binaries transmitted in the network. Based on the big data collected from Wedge’s system logs and anonymized […]

The goal of the research is to implement different data mining algorithms in order to improve the prediction on a user’s electricity consumption. The research will be dedicated to improve the existing algorithms or implementing new algorithms for the improvement of the prediction accuracy. Besides application of the prediction algorithms, different data pre-processing methods will […]