We introduce iterative retrieval, a novel framework that empowers retrievers to make iterative decisions through policy optimization. Finding an optimal portfolio of retrieved items is a combinatorial ...
Abstract: This tutorial paper focuses on safe physics-informed machine learning in the context of dynamics and control, providing a comprehensive overview of how to integrate physical models and ...
Abstract: Promptly perceiving distribution system states is challenged by frequent topology changes and uncertain power injections. To address these issues, a Meta-learning enhanced physics-informed ...
In today’s dynamic workforce, staying ahead of technological change is the key to sustained success. Meeting the pace of technological evolution is also one of the greatest challenges that ...
School of Civil Engineering, Sun Yat-sen University and Key Laboratory of the Pearl River Estuary Regulation and Protection of Ministry of Water Resources, Guangzhou 510275, PR China Center of Water ...
Physicist Paul Davies’s Quantum 2.0: The past, present and future of quantum physics ends on a beautiful note. “To be aware of the quantum world is to glimpse something of the majesty and elegance of ...
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