This research will develop protocols and identify enzymes to break down compostable plastics using the FoodCycler system. The FoodCycler is a household device that accelerates the breakdown of organic waste, leaving behind a sterile soil-amendment-like by-product, and is a practical solution for rural, northern, and remote areas without municipal compost systems. Use of compostable plastics […]

The coasts of Georgian Bay (Lake Huron) are used extensively by migratory songbirds (including species at risk) for both breeding and migratory fueling. We will study how adult and juvenile songbirds use and move among islands and the mainland during the post-breeding period when juveniles are still developing and adults moult flight and body feathers. […]

Kapoose Creek Wellness (KCW) is building a vertically integrated business to deliver products and services that take advantage of a growing market for the functional and medicinal potential of mushrooms. A key asset in this vision is 320 acres of land within a rainforest on the North Pacific Coast of Vancouver Island where exotic species […]

Nestabl Inc., based in Oakville, ON, is developing an innovative new streaming network dedicated to Home, with a focus on bringing together user generated content, and produced/curated video content in a dynamic, personalized way. Nestabl’s Platform development will be completed in two phase, requiring four interns over a span of two terms total. During phase […]

Over the past decade, Japanese influence on North American pop culture has seen a noticeable increase. Examples can be seen from the world of street fashion, luxury goods, film/media production, and beyond. Japanese influence has, at times, even been considered the driving factor in the success of numerous North American brands/artists. Take, for example, the […]

Statistics Canada estimates that going forward, 25% of all Canadian work hours will be completed remotely, which means that remote work will be a permanent fixture of the Canadian labour force. Increasingly, workplaces are embracing completely remote or hybrid (a combination of remote and in-office work). Regardless, often these decisions are made by the workplace […]

This project aims to bridge Canadian talent with the rapidly growing technology scene in Asia, and vice versa. A huge opportunity – and challenge – that the world faces in the coming years is the issue of feeding the ever increasing global population without harming the environment. Currently, the agricultural industry is failing at this […]

Optical telecommunication systems are continuously facing new challenges in terms of capacity and cost as a result of everincreasing Internet traffic. The continuing traffic growth imposes challenges associate with increasing complexity and power consumption at the network nodes and data centres, which are expected to handle more and more data. As a result, the latter […]

Subsurface dewatering is critical to the safe and economic operation of mines. Operational planning for dewatering often necessitates advanced numerical models for accurate prediction and requires a well-defined understanding of the regional geology, hydrology and hydrogeology, and how this influences infiltration of groundwater into mining pits and underground galleries as well as sources of recharge. […]

Regional Tourism Organization 7 (RTO7) and Community Futures South Georgian Bay have partnered over the past two years on the T3 Accelerator Tourism Professional Development Program. The intent of this project is to assist small business tourism operators identify their IT needs and gaps, evaluate the broad range of IT systems and services to help […]

Even a company like Apple cannot hope to survive and grow if its end customers do not fully understand what it is that Apple sells. That, in a nutshell, is the challenge SalesChoice, an Artificial Intelligence (AI) Software as a Service (SaaS) company, faces today and why this project is critical to the company’s survival […]

In this project, the intern will work with an expert team from the company Zapata, to compare the performances of machine learning models on classical computers and on quantum models in terms of generalization to unseen data