MLD Solutions are facing the challenge of creating engagement with their online platform Mozaik.Global that allows users to create, distribute, and sell interactive digital content. This content is created in bite-sized units, currently visualized as cards. The key problem with this new type of digital content is that the company currently does not know how […]

An important component to every growing retail business is demand forecasting which can affect the strategic plans of a business. The impact extends across the business’ function including budgeting, financial planning, price optimization, sales and marketing plans, capacity planning, staff management, risk assessment and mitigation plans. In this project, we want to apply machine learning […]

Quini is developing a revolutionary system that allows wine producers to predict with a high level of accuracy how much acceptance and sales they will be able to generate from a wine product, over time, in which major cities and selling to whom as the primary buyers. The system will also give consumers exacting wine […]

How to automatically monitor wide critical open areas is a challenge to be addressed. In this project we are looking for using CNN+LSTM technique for identifying anomalies and by using a deep reinforcement learning approach, classify them into one or more groups such as health, crime, accidents etc. This project aims to alleviate this problem […]

COVID-19 impacts on travel are unprecedented, affecting virus-spread, transportation services delivery, and how people will eventually safely participate in economic, educational and social activities. These impacts vary substantially across neighbourhoods, often worsening existing inequities in Canadian cities. This project will accelerate research for deriving insights about COVID-19 from TELUS network location data. Specifically, it will […]

SageTea Software will contribute expertise in working with Smalltalk and the SAGETEA model. This includes demonstrating the current database model and how it works. SageTea Software will also demonstrate its current implementation of Deep Learning libraries on the Python side including Tensorflow, Kibana and Elastic Search. We will provide expertise in the SAGETEA methodology and […]

Through historical research, I examine the role of queer history to demonstrate how, and in what ways, oppression evolves into resistance. Focusing on visual culture, such as photographs, home video’s and films, as well as ephemera, letters and personal papers, the goal is to shed light on the dark corners of queer history. By illuminating […]

A robot, like any cybernetic system, must perceive it’s world and act upon it to accomplish goals. Most goals are complex and must be broken down into simpler tasks. In the physical world, these tasks almost always require motion to accomplish. But motion itself is far from simple; joint movements must be coordinated, obstacles avoided, […]

Healthy and sustainable housing is a critical social determinant of health and well-being. In Indigenous communities, decades of ineffective government housing and land policy have created abysmal, often culturally inappropriate housing conditions. Through partnership with First Nations, we will explore and uncover solutions to answer these questions: What if we could co-create Indigenous homes to […]

The surge of radical right wing movements is one of the defining characteristics of this political moment, and it has the potential for the most grave repercussions. To date, little critical research about the ideational foundations of modern far right movements and the danger they pose has been effectively mobilized to the public. Our project […]

PledgX is interested in building a solution that aims to optimize the bidding process to maximize key performance indicators for contactors and vendors. For bidding optimization, several strategies and methods have been proposed; however, with the massive amount of available bidding datasets, the quality and performance of such methods are questionable. Machine learning introduces intelligent […]

Chronic pain is a widespread disorder, leading to devastating personal and financial costs for patients and the Canadian healthcare system. As such, there is a need to identify factors associated with improved pain care. Previous research suggests that, although limited in practice, the use of technology to electronically collect patient data may allow for more […]