Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how model size, training data volume, and language mixtures interact as the ...
Abstract: Subarraying techniques are promising for achieving performance and cost tradeoffs in the design of a hybrid analog–digital array. However, previous approaches have paid little attention to ...
In this paper, a novel two-dimensional direction-of-arrival (2D-DOA) estimator with uniform circular arrays (UCAs) based on model-based deep learning is presented. Inspired by the interpretability of ...