DINESH KRISHNA NATARAJAN

(SMART DATA AND KNOWLEDGE SERVICES, DFKI, PROF. ANDREAS DENGEL)
hosted by Ph.D. Program in CS @ TU KL

"HYBRID AI: TOWARDS EFFICIENT LEARNING FROM PHYSICS AND DATA"

( MPI-SWS talk in Kooperation mit dem Fachbereich Informatik)

Hybrid Artificial Intelligence refers to a decision-making system that uses a combination of artificial intelligence and domain knowledge. In the field of computational science, the domain knowledge could comprise numerical simulations of the underlying physical phenomena or governing physical laws that constrain the phenomena. The goal of this research is to develop techniques that efficiently combine modern deep learning methods with available domain knowledge. The level of the hybridity of the combined method is specific to the use case, and a general methodology for choosing the hybridity will be an outcome of this research. The focus of this work is on applications in Computational Science (e.g., fluid simulations) and Earth Observation involving physical phenomena (e.g., flood mapping). In this presentation, a short overview of the use cases, literature and state of the art, and the challenges in learning from simulation data will be discussed.

Time:	Thursday, 15.06.2023, 09:00
Place:	Blechhammer Hotel-Restaurant in Kaiserslautern

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