WP3: Optimization-driven Hybrid AI

WP3 image Optimization-driven Hybrid AI

Team members

Vincent Tan

Lead PI SG: Vincent TAN (NUS)

Team PI Singapore

ArulMurugan Ambikapathi (A*STAR)

Hwee Kuan Lee (A*STAR)

Qianxiao Li (NUS)

Suganthan Ponnuthurai Nagaratnam (NTU)

Savitha Ramasamy (A*STAR)

Jonathan Scarlett (NUS)

Jun Zhao (NTU)

Lead PI FR: Caroline CHAUX (CNRS)

Team PI France

Cédric Févotte (CNRS)

Jean-Bernard Lasserre (CNRS)

Emmanuel Soubies (CNRS)

Victor Magron (CNRS)

Milan Korda (CNRS)


The overarching goal of WP3 is to develop advanced optimization-driven solutions for the HAI: Intelligent-modelling. Any AI system needs to be transformed into a formulation involving an objective or loss function to be optimized. Furthermore, Smart Data will be harnessed using techniques developed within WP3, such as generative models. In particular, algorithms will be developed for inverse problems and dictionary learning and utilized for data acquisition and smart data processing. These endeavours seek to develop strong theory for understanding when and how different optimization algorithms work when applied to a variety of Hybrid AI tasks and the problems in critical urban systems.

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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 www.create.edu.sg.

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