Grants and Contributions

The purpose of this Canadian International Innovation Program (CIIP) contribution agreement is to support organizations and to identify specific projects or partnerships between the Recipient and international partners in CIIP target countries that could lead to industrial research and development cooperation with potential for commercialization.

Commercialization Strategy: The project involves the start-up of Mechasys, a technology company specializing in the manufacture of intelligent and automated laser projection systems through the implementation of commercialization activities.

Canadian rural and remote communities often suffer from troublesome broadband Internet access and services resulting from irresponsive network operations and maintenance. With today’s artificial intelligence (AI) and machine learning (ML) technologies, we will adopt a data-driven approach to an automated diagnosis and troubleshooting process of network operational issues. Furthermore, with the use of multiple radio access technologies, an adaptive and intelligent decision can be made locally and collaboratively to provide responsive and uninterrupted self-maintainable solutions.

Marketing Strategy: The project aims to market a Virtual Agent tool (Chatbot) for insurance companies and an intelligent document scanning tool.

CIIP India project MCI with Axiom Research Labs (ARL) (India): Mission Control is developing AI-enabled mission software to be deployed on Axiom Research Labs’s commercial lunar rover, lowering the barrier for flight software development and allowing more autonomous space operations.

Nanoprecise's predictive maintence solution consists of a wireless IoT hardware (that measures vibration, sound, temperature, RPM and humidity) all from one device and Artificial Intelligence based software, that is able to detect anomalies in the behaviour of industrial machines, characterize those anomalies as specfic fault types with the machine and finally predict the remaining time to failure.

The objective is to align market and customer requirements and specifications with technological processes that produce a competitive product in the quinoa and by-product markets.

The Canada-UK Artificial Intelligence Initiative is expected to:
1.Support innovative and cutting-edge interdisciplinary AI research that encourages the exploration of new interdisciplinary research methodologies, approaches and tools that cuts across at least two of the following research domains:
¿social sciences and humanities;
¿health and biomedical sciences; and
¿natural sciences and engineering (including computational and/or mathematical sciences).
2.Promote the development of Responsible AI through research that includes considerations of social-cultural variables (gender, racialized identity, socio-economic status, ability, etc.), biological variables (sex) and sustainable development in the research design, to ensure that the benefits of AI technologies and tools are shared broadly across society, to mitigate against potential harms, and to enhance the trustworthiness of AI;
3.Enhance existing and establish new partnerships between researchers in Canada and the UK in the area of AI research;
4.Enable the creation and uptake of research outputs/outcomes with key stakeholders (i.e. policy makers, decision makers) in both Canada and the UK; and,
5.Enhance capacity for development of AI and/or its responsible applications through sharing of infrastructure and data, and joint training of early career researchers and trainees.

The Canada-UK Artificial Intelligence Initiative is expected to:
1.Support innovative and cutting-edge interdisciplinary AI research that encourages the exploration of new interdisciplinary research methodologies, approaches and tools that cuts across at least two of the following research domains:
¿social sciences and humanities;
¿health and biomedical sciences; and
¿natural sciences and engineering (including computational and/or mathematical sciences).
2.Promote the development of Responsible AI through research that includes considerations of social-cultural variables (gender, racialized identity, socio-economic status, ability, etc.), biological variables (sex) and sustainable development in the research design, to ensure that the benefits of AI technologies and tools are shared broadly across society, to mitigate against potential harms, and to enhance the trustworthiness of AI;
3.Enhance existing and establish new partnerships between researchers in Canada and the UK in the area of AI research;
4.Enable the creation and uptake of research outputs/outcomes with key stakeholders (i.e. policy makers, decision makers) in both Canada and the UK; and,
5.Enhance capacity for development of AI and/or its responsible applications through sharing of infrastructure and data, and joint training of early career researchers and trainees.

The Canada-UK Artificial Intelligence Initiative is expected to:
1.Support innovative and cutting-edge interdisciplinary AI research that encourages the exploration of new interdisciplinary research methodologies, approaches and tools that cuts across at least two of the following research domains:
¿social sciences and humanities;
¿health and biomedical sciences; and
¿natural sciences and engineering (including computational and/or mathematical sciences).
2.Promote the development of Responsible AI through research that includes considerations of social-cultural variables (gender, racialized identity, socio-economic status, ability, etc.), biological variables (sex) and sustainable development in the research design, to ensure that the benefits of AI technologies and tools are shared broadly across society, to mitigate against potential harms, and to enhance the trustworthiness of AI;
3.Enhance existing and establish new partnerships between researchers in Canada and the UK in the area of AI research;
4.Enable the creation and uptake of research outputs/outcomes with key stakeholders (i.e. policy makers, decision makers) in both Canada and the UK; and,
5.Enhance capacity for development of AI and/or its responsible applications through sharing of infrastructure and data, and joint training of early career researchers and trainees.