The Artificial Intelligence for Design (AI for Design) Challenge program develops and provides AI technologies and capabilities to accelerate discovery, R&D, and innovation processes.
With its collaborators, the AI for Design Challenge program advances algorithms, methods and datasets to assist engineers, researchers and scientists with design and scientific discovery.
Artificial Intelligence for Design Challenge program (Transcript)
About the Program
This master project explores AI-based design optimization that will have a significant impact on the outcome of the design process and the time it takes to reach the target design in high-dimensional photonics design problems.
This master project focusses on AI-based biological therapy design for increased safety, efficacy and specificity with reduced cost and side effects.
This master project focusses on AI algorithms and methods that enable material scientists to find better materials.
This master project's research efforts focusses on AI methods for increasing the speed of simulations, improving the search of a design space and making explainable models that better align with real-world observation across a very broad set of domains and which are useable by non-AI experts.
We invite collaborators at Canadian and international universities, colleges, centres of excellence, not-for-profit organizations, governmental research organizations, and highly innovative firms with an interest in applying AI to scientific discovery and development to express their interest in collaborating with the program.
Contribution funding is available to help defray the costs of research for academic institutions, small- to medium-sized enterprises (SMEs) and other eligible recipients collaborating with the NRC.
News and events
Projects and teams
- AI for drug design
- AI for precision discovery on associations in biological systems
- AI for design of multi-targeted therapeutics
- Artificial intelligence protein design for drugs and gene therapies
- AI for simulation of biological systems
- Digital-twin of bioreactor for accelerated design and optimal operations in production of complex biologics
- AI-enabled design of aptamer sensors
- AI-assisted miniaturization of integrated photonic components
- AI-assisted inverse design of nanophotonic components
- AI-based shape optimization
- Quantum enhanced design for materials and chemistry
- Designing a friction stir weld
- Intelligent design with deep generative models and reinforcement learning
- Automated material synthesis using deep reinforcement learning
- AI for simulation and design of materials with targeted properties
- Fast spectroscopic signatures accelerated by deep learning
- Use of artificial intelligence to speed up numerical simulations: application to the design of superconducting tapes for energy and medicine domains
If you are interested in collaborating with us, making investments in this area, or if you have any questions, please contact:
- Challenge Programs
- Grant and contribution funding
- Funded collaborative R&D projects
- The NRC maps global design space of nanophotonic components using machine learning pattern recognition
- Digital Technologies Research Centre
- NRC-Waterloo Collaboration for Artificial Intelligence, Internet of Things, and Cybersecurity
- NRC-Fields Mathematical Sciences Collaboration Centre
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