Grants and Contributions

Implement new generative content and match Canadians with the most suitable financial product providers more accurately and efficiently.

The creation of a semi-continuous battery slurry mixer and related components (feeders) to integrate slurry materials and to extract the slurry to produce battery cells for the EV market. The system will allow for variable mixing volumes and include advanced data tracking, which is currently not offered by others. The project will work with a battery manufacturer to test the battery slurry mixer in a manufacturing environment.

Development of AI prototypes for Factory Bucket's transition from a 'Product-enabled service provider' to a 'Product provider'. The AI Assistant will allow manufacturers to develop applications on the Cohesiv platform.

This project involves optimizing the mechanical performance of food-waste derived biopolymers to meet processing and lifecycle requirements.

The aim of this project is to take an existing high-level abstract model of how reinforcement learning (RL) occurs, and ground it in detailed biology and molecular-level dynamics of the basal ganglia. That is, the project team will show how these low-level molecular details combine with biological structures (neurons and synapses in the basal ganglia) to produce overt behavior. Animals and humans can select actions that are continuous, e.g. how hard to turn a knob, or that are extended through time, e.g. reach and grasp trajectories. The basal ganglia in the mammalian brain is thought to be associated with this kind of action selection, acting as a control mechanism for initiating actions. Models of the basal ganglia, however, are generally based on reinforcement learning theory that treat both action spaces and time as inherently discrete. However, in recent work (funded )under the NRC’s AI for Logistics program), a completely continuous theory has been developed. This theory, while compatible with the biology of the basal ganglia, is specified at a high level with abstract components and variables. This project proposes to connect this theory to the actual biological details of the basal ganglia at the level of biological connectivity, neurotransmitters, and other molecules. The primary focus will be on two areas: the biological realism of the inputs to the basal ganglia, including reward representations; and the biological realism of the continuous outputs from the basal ganglia, enabling selection in continuous action spaces. Given the resulting model, the team will then explore the effects of varying low-level molecular details (such as the concentrations of GABA, glutamate, cholesterol, etc.) on high-level behaviour such as navigating T-mazes and the Morris Water Maze.

Argus is focusing on comprehensive solution that reduces water and fertilizer usage, optimize delivery to the crops and allow for facility level water recycling.

Utilize Composite Antenna Components from Polytenna to create a cost-effective prototype 5G repeater that operates at mm-wave frequencies.

Nootka will develop a formal sales and marketing team. This project will allow the Firm to pursue experimental sales channels and develop consistent messaging through brand management.

The ongoing race to carbon net-zero is a global effort to resolve the
challenge of climate change. Carbon neutrality can be achieved by reducing
emissions and removing the CO2 in industry exhaust as well as the
atmosphere. Removing carbon in the atmosphere is called direct air carbon
capture (DACC) and can be viewed as an emerging industry producing
carbon credit.
This project seeks to design a novel DACC system based on fibrous
material. The alkaline solution is dispensed by fiber networks and reacts
with and captures the CO2 in the atmosphere. Optimal design for such
processes is prohibitively demanding for conventional methods,
experimental or computational, due to the drastic scale difference (e.g.,
from alkaline droplets and liquid film of micrometers to meters long fibers
and reacting chamber) in the system. Developing a universal framework
combining artificial intelligence and physical laws within this project will
facilitate faster optimal designs and scaling-up for future DACC system
development.

Improve digital marketing processes and tools to help increase the growth of the Adviice platform and support new customers from initial contact through to onboarding and customer success