Grants and Contributions:
Title:
Neuro-Symbolic Probability
Agreement Number:
1027845
Agreement Value:
$138,416.00
Agreement Date:
Mar 14, 2025 - Mar 31, 2026
Description:
Probability theory is a framework for representing uncertainty – due either to variability or unmodelled, unobserved factors – in a multitude of observed quantities. Probabilistic modeling enables robustness to noise and uncertainty in a number of autonomous systems, and through the widespread adoption of probabilistic algorithms. Probabilistic modeling was responsible for robotics transitioning from fragile, hand-tuned systems, to systems that are robust to operating in the natural world with noisy sensors. In order to interact with a complex and not-perfectly-known environment, both robots and biological creatures need to represent and manipulate probabilities. While probability-based mathematical formalisms such as Bayesian Optimization exist, they often assume an unlimited amount of computing power, and it is unclear how they can be mapped into more realistic physical hardware, or into artificial neural networks. In recent years, a variety of methods have been developed to start to connect probabilistic information with neural networks. The overall goal of the project is to further develop these techniques and to apply them to the flexible soft-robotics systems
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Location:
Waterloo, Ontario, CA N2L 3G1
Reference Number:
172-2024-2025-Q4-1027845
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
119260685
Recipient Type:
Academia
Recipient's Legal Name:
University of Waterloo
Federal Riding Name:
Waterloo
Federal Riding Number:
35114
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
NAICS Code:
541710