Social Listening is the act of accessing the many available social networks that exist throughout the world wide web. The partner organization of this research has identified algorithms using existing web technology to evaluate and categorize an interpretive community through the connections of that community?s participants and the context of those connections, including both verbal […]

Feature-rich design software is of critical importance to many industries, including manufacturing, architecture, and construction. A common feature of this software is that, to be used effectively, the user must possess technical competency and an understanding of the specific workflows and practices for using the software within their organizations. In the past, users could get […]

Voices.com, the largest online marketplace for voice talent, have identified Machine Learning as an enabler for future growth. In particular, incorporating Natural Language Processing (NLP) into structured queries and automatic classification of sample recordings. The first phase of this research involving NLP is in the process of being integrated into production. The second phase will […]

This project will develop a hybrid framework by integrating AI and machine learning methods with tabular information extraction and semantic modeling to improve the state-of-the-art precision and recall in tabular detection while maximizing the value of extracted information for industrial applications. Following a properly designed pre-processing stage to improve the outcomes of AI techniques, the […]

This project is addressing a deficit in the long-term valuation space for robust mathematics. Current techniques rely on very basic statistics and manually constructed spreadsheet models. This represents significant operational risk to investment firms. This project will seek to, using machine learning, develop accurate forecasting models for the financial fundamentals of companies in order to […]

The purpose of this study is to develop a structural model that enhance the effectiveness of the financial advisory services. The primary value proposition Betterworth wants to demonstrate to the financial institution is how the betterworth platform will make financial advisors’ more efficient, enabling them to attend to more clients, cut their operational costs, target […]

In this project, various business challenges within the transportation management industry will be studied to look for ways to optimize and improve the current practices. Artificial intelligence-based algorithms will be developed in order to automate manual intensive processes, optimize route planning and demand management, including price fluctuations, adverse weather events and seasonal impacts, and finally […]

Thales développe un logiciel pouvant ordonnancer les activités de remise en état d’une flotte des navires militaires. Ce logiciel possède donc un ordonnanceur capable de positionner sur une ligne du temps les différentes tâches à accomplir. L’ordonnancement produit doit tenir compte de la disponibilité des ressources (main-d’oeuvre, équipements, espaces de travail) tout en minimisant les […]

Quality inspection is very important for manufacturing industry, current solution struggles with accuracy and requires machine vision knowledge to use. We are proposing to use deep learning technology to improve the performance of inspection as well as to ease the use of such system, so that user can simply use labeled data to build a […]

The project will investigate data mining techniques and software to support and enhance the activities of ubiquitous sporting competitions. Such support includes but is not limited to feedback on a participant’s activities as well as identification of regions of interest using a custom built wearable computer – the Recon MOD Live, a mobile phone, and […]

RealTerm Energy is developing an AI-based solution for predictively optimizing HVAC (heating, ventilation, and air conditioning) systems in smart buildings. A substantial component of this solution is a data analyzer which will mine an enormous dataset to model the operational behaviours of the buildings in different locations around the world. Based on enormous datasets collected […]

Global Navigation Satellite Systems (GNSS) augmentation techniques such as differential GNSS and real-time kinetic (RTK) positioning have been critical for GNSS accuracy and usability. In a typical scenario, the correction data is streamed to a device in the field (rover station) from a reference (base) station. However, as the number of devices that rely on […]