Eric Gutiérrez, 6th February 2026. A Python implementation of a 1-hidden layer neural network built entirely from first principles. This project avoids deep learning libraries (like TensorFlow or ...

Abstract: To address the degradation in radiation performance caused by external deformations in variable-curvature cylindrical conformal antenna arrays, this letter proposes a real-time beam pattern ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

On December 16, Verizon Communications Inc. (NYSE:VZ) and Array Digital Infrastructure announced a new strategic partnership aimed at strengthening Verizon’s 5G network. The deal gives Verizon access ...

As it does so, a 3D printer system prints a rigid back structure to the blanket array membrane. As it does so, the hard UV radiation of space rapidly cures the resin, making it hard. This means a ...

Google’s system leverages optical circuit switching (OCS) to create direct, low-latency optical paths between TPU chips, minimizing signal conversion losses. They avoid repeated ...

Abstract: This paper presents a novel neural network-based method for our new task, named multidimensional array search. To the best of our knowledge, this is the first time that searching has been ...

Prototype of a chip-scale RF signal processor with 3D-printed antenna arrays for antenna-in-structure or wearable wireless systems. PULLMAN, Wash. – Washington State University-led researchers have ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

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