Artificial Intelligence (AI)

AI is becoming embedded in almost every aspect of our daily lives and is a major driver of today’s global economy. The global semiconductor market is estimated to grow to over $1 trillion USD by 2030. AI is expected to be the biggest growth engine for both semiconductors and sensors, with AI accelerators, edge processors, and smart sensors leading the growth. Canada has a generational opportunity to participate in this global market. Application sectors range from automotive to healthcare, manufacturing, smart cities/homes, agri-tech, ocean and marine, natural resources and more!

Edge AI

Edge AI devices are critical components that enable the overall advancement, security, scalability and adoption of AI. Edge sensors provide the data that feed AI and Edge AI models. Edge computing moves the compute power out of the datacentre and closer to the data source – the sensors. AI connectivity provides the networking infrastructure to connect sensors, computing and actionable devices together. The key benefits of Edge AI include real-time decision-making, reduced latency, reduced use of bandwidth, lower power consumption, scalability, enhanced privacy and security and reliability in remote and underserved areas.

Canada’s ocean and marine sectors are critical to our economy, environment, culture, and sovereignty. With the longest coastline in the world and access to the Atlantic, Pacific, and Arctic oceans, Canada’s prosperity and security are deeply tied to the ocean. In its platform AMBITION 2035, Canada’s Ocean Supercluster charts the course to grow Canada’s ocean economy by 5× to $220B by 2035. The development and adoption of advanced technologies and AI are major parts of this platform. More information on the Canadian Ocean Supercluster can be found at https://oceansupercluster.ca/chartingthecourse. Key areas of opportunity for the Canadian semiconductor ecosystem include shipping & navigation, precision aquaculture & fisheries, climate/ocean science, offshore energy & energy harvesting and national defence and security. Examples of where sensors and other IoT chips can be deployed include smart buoys, smart feeding systems, autonomous underwater vehicles, sonar and imaging systems, collision avoidance and vessel tracking, chemical and environmental monitoring, seabed mapping and more.