Intelligent computing

Foundations of Intelligent Computing


The main outcomes of the pillar “Intelligent Computing” will be computer science tools to manage smart data and produce certified and explainable hybrid twins and controllers, based on physical / knowledge-aware models. These tools will be implemented in the Builder (cf WP9). More precisely, we will develop Pioneering methodologies of Hybrid AI, in particular giving rise to disruptive techniques for HAI: Intelligent-Modelling, to learn Hybrid Twins with very limited resources, as well as HAI: Intelligent-Control, with optimization-based techniques, algorithms and prototypes for optimal decision-making in complex infrastructure of the smart city. This will be done with the help of Pillar V for the engineering of physics models. Methodologies for safety certifications and explanations of Hybrid AI will also be developed, which will allow Hybrid AI to be deployed in critical Infrastructures of the smart city, with the help of pillar II for processing linguistic data and sensor data. In the context of smart data management, we will develop novel techniques to extract the useful information from limited resources and/or non-optimal data quality, by representing and processing knowledge (lineage information, quality, graph models.…) in the same time as the data. This will be made in connection with pillar IV, bringing expertise on smart sensing in link with the physical knowledge. This will enable resource efficiency in real-world scenarios, e.g. with sensitive (private) information.

Work Packages in Intelligent Computing

We organized this pillar along different discipline lines of computer science:

  • Formal reasoning & AI in WP1 “Trustworthy Hybrid AI”, in charge of the explanation and certification engines.
  • Data Science & AI in WP2 “Learning from Smart and Complex Data for Hybrid AI”, in charge of Hybrid AI for decision making and smart data.
  •  Signal processing & AI in WP3 “Optimization-driven Hybrid AI”, in charge of Hybrid AI for intelligent modelling and smart data.

This research is supported by the National Research Foundation, Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme.

CREATE is an international collaboratory housing research centres set up by top universities. At CREATE, researchers from diverse disciplines and backgrounds work closely together to perform cutting-edge research in strategic areas of interest, for translation into practical applications leading to positive economic and societal outcomes for Singapore. The interdisciplinary research centres at CREATE focus on four areas of interdisciplinary thematic areas of research, namely human systems, energy systems, environmental systems and urban systems. More information on the CREATE programme can be obtained from

Visit the CNRS website here.