CapabilitiesIHPC’s K-AI efforts (Fig 1) include:
Knowledge-Guided Forward Modelling - Integrating domain knowledge with AI for forward prediction
- Hybridisation of AI and Simulation
- Knowledge-guided design of AI model architecture
- Knowledge-constrained training of AI models
Knowledge-Guided Inverse Design - Utilising domain knowledge during optimisation to achieve optimal design solutions and/or to accelerate the design process
- Knowledge-guided design of algorithms for more optimal search space exploration
- Knowledge-guided reduction of search space for faster optimisation
Knowledge-Guided Representation Learning - Utilising domain knowledge to better acquire and represent information for incorporation into the AI models for both forward modelling and inverse design
- Knowledge-guided data representation for improved feature construction and selection for AI models
- Strategies for knowledge acquisition and extraction from domain experts or indirect sources of information (e.g., reasoning for general expertise)

Fig 1. IHPC's Research Foci within K-AI
Collaboration Opportunities IHPC welcomes interested parties to collaborate in research and development relating to Artificial Intelligence and Quantum Computing, especially in identifying new technology areas to develop new applications, multi-disciplinary projects or commercialisation outcomes. Leverage our domain expertise and K-AI framework to solve interesting problem statements.
For more info or collaboration opportunities, please write to
enquiry@ihpc.a-star.edu.sg.