According to the US Federal Communication Commission, 5G “is a virtual cornerstone for critical 21st century opportunities related to economic growth, education, employment, transportation, and more. These new networks and technologies will enable…innovations not yet imagined.”
With the explosion in consumer and industrial demand for faster and high-capacity mobile networks, the 5G download speed of up to 100 times faster than current 4G technology will enable Canadian businesses to deliver a new generation of products and services and compete robustly in the global marketplace.
If, for example, a panicked person shouts for help, Zenbo may suggest calling 9-1-1 because it understands the underlying need for emergency assistance. This sort of empathic response could make robots an important companion in care homes, hospitals, and at home.
With one in four recent Canadian STEM graduates leaving the country, citing better job opportunities abroad*, talent migration affects us all. A shortage of talent in the fields of science, technology, engineering, and math constrains Canada’s potential for economic diversity, development, and innovation.
The Royal Bank of Canada (RBC) may have found a solution to Canadian brain drain. Its research and development unit, Borealis AI, supports innovation through scientific study and exploration in machine learning and artificial intelligence.
“We wanted to understand what people’s reactions to a bot might be in different types of workplace situations,” says Julia. “Will people trust the system the same way they trust a person? What kinds of challenges or barriers might arise when implementing chatbots as a tool in the workplace?”
The new tool uses a deep-learning computer vision system and motion-classification algorithms to capture events such as falls in real time, alert caregivers and give health-care professionals the information they need for immediate triage.
The system—developed in part by the Multimedia Research Centre led by Irene Cheng in the Department of Computing Science—transfers real-time video to an autonomous computer vision lockbox. If an event is detected, the system alerts a specified caregiver and provides a redacted video of the event.
Now, one Mitacs intern is searching for a solution. Arvind Srinivasan is researching an algorithm that will integrate real-time changes into existing mapping programs. The new algorithm allows the app to seamlessly adjust your route — without interrupting the navigation. Normally, unexpected changes to the map require more processing power to integrate. The resulting algorithm is slower and less useful as a navigation tool.
The app will use audio stories, such as podcasts, to enable users to communicate and feel as if they are doing the same activity at the same time, even though the activity might be taking place at different times in different places. For example, a mother and daughter living in different cities can hike together, with the mother initiating the story during her earlier hike and the daughter able to listen to her mother’s account while she herself goes for a hike.
This summer, Nathalia Soares Covre, a Mitacs intern from Brazil, is helping the modelEAU team develop a digital model of an innovative wastewater treatment process. This new process reduces the discharge of nitrogen into lakes and rivers so that plant operators can work to reduce the impact of urban wastewater on local ecosystems.
Wendlasida Ouedraogo is part of a research team at École Polytechnique de Montréal that is developing the next generation of computer vision software, which automates visual tasks, to help civil engineers and city planners get ahead of construction demand.