Efficient generation and reliable distribution of quantum entangled states is crucial for emerging quantum applications, ...
Abstract: The importance of Model Parallelism in Distributed Deep Learning continues to grow due to the increase in the Deep Neural Network (DNN) scale and the demand for higher training speed.
Abstract: This paper presents a novel distributed network control framework for cooperative heavy-load transportation using multi-UAV systems, accounting for thrust limitations and heterogeneous cable ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
A new survey of U.S. energy professionals suggests that load flexibility and demand response (DR) programs are becoming central components of grid management as large-load growth accelerates. The ...
AI is inspiring organizations to rethink a fundamental IT concept: the data center. For decades, the data center was a centralized place. It was a handful of large, secure facilities where ...
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