Ecobee is a home automation company that makes thermostats for residential and commercial use. Smart lights are the second-most desired home automation devices after thermostats, but being able to remotely control the lights is only a small part of the vision. ecobee light switches have embedded microphones, a speaker, and far-field voice technology that allows […]

Global service providers in highly regulated financial sectors must accommodate an ever-changing, sometimes competing, landscape of regulatory concerns. This project seeks to determine a reasonable path forward in technology design and adoption to accommodate current and anticipated data privacy and data residency concerns, making it possible to keep data within borders while still facilitating collaboration […]

Resource extraction, including mineral exploration and mining, is an important part of Canada’s economy. There is currently a great interest in finding the minerals that are needed for batteries; arguably the lack of minerals is the biggest impediment to cutting the price of electric vehicles and weaning society off fossil fuels. Artificial intelligence has great […]

Kindred’s Sort product is a robotic system that operates in e-commerce distribution centers to sort and handle apparel and general merchandise. The deployed system is controlled through a combination of artificial intelligence and human-in-the-loop teleoperation. The proposed project involves applying techniques from artificial intelligence (specifically machine learning and reinforcement learning) to improve the ratio of […]

Smart home devices with artificial intelligence (machine learning and deep learning) will change our lifestyles in the near future. The objective of this project is to develop an artificial agent, which will power the smart light switches produced by ecobee. The artificial agent, a machine learning program, will use the data collected by the sensors […]

People rely on recommendations from other people, friends’ word, news reports, and travel guide and so forth. Recommendation systems assist people to sift through available books, web pages, restaurants, and grocery products. [16]. We want to build a recommendation flow in the retail industry to serve Canadian citizens better. The system will understand the customers […]

Power Line Communication uses the existing infrastructure of electrical power lines for high frequency data transmission. The availability of such power line communication modems across the grid, which are typically used for enabling smart-grid connectivity, also gives us the opportunity to extract insight into the nature of the grid. This includes investigating the health of […]

The goal is to create a conversation loop between 3D designers and artificial intelligence programs. This will help the AI provide suggestions to the designer, while the designer provides the AI with feedback. This can help make it easier for designing complicated objects as well as complicated textures that belong to the surface of 3D […]

NLP techniques have been used and tested for several years in different environments and for different applications/domains. The performances of the Natural Language Understanding (NLU) toolbox are closely related to the quality of the text but also on the specific knowledge-domain. Social Media content typically use short sentences with simple grammar and tend to include […]

States worldwide compete in an intensifying race for talent, mainly for professionals in Science, Technology, Engineering, and Mathematics (STEM). This project investigates how government and industry actors at the level of technology clusters (Shanghai) are able to use existing regulatory frameworks to attract and retain global STEM talent. Although China has relied on ethnic returnees […]

In this project, we will develop and evaluate an autonomous, unmanned aerial photogrammetry system for metric inspection of hard-to-reach vertical infrastructures, such as telecommunication towers and high-rise buildings. Metric inspection means identifying and measuring the facts that may have an impact on health conditions of assets, such as changes in tower alignment or deformations of […]

The objective of the proposed project is to procedurally increase the visible resolution of a coarse liquid simulation within a machine learning pipeline for the visual effects (VFX) industry. We introduce an optical flow-based learning approach to model the deformations between a coarse input liquid simulation and its equivalent at a higher resolution. The deformation […]