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 ...
In a proof-of-concept study funded by the National Institutes of Health, researchers from the Keck School of Medicine of USC and the California Institute of Technology (Caltech) have shown that an ...
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 ...
Computer-generated holography (CGH), as one of the most attractive next-generation three-dimensional (3D) display technology, possesses the capacity to provide authentic depth cues of 3D scenes via ...
According to Sawyer Merritt, Tesla utilizes footage from its extensive vehicle fleet to synthetically generate new driving scenarios, enhancing the safety and robustness of its self-driving software.
Nintendo has released a wave of patches for many of its biggest Switch games, ahead of Switch 2's arrival. These free updates are now available to download, and include a fresh version of Super Mario ...
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 ...
The package contains a mixture of classic decoding methods and modern machine learning methods. For regression, we currently include: Wiener Filter, Wiener Cascade, Kalman Filter, Naive Bayes, Support ...
EL SEGUNDO, Calif., Sept. 10, 2025 /PRNewswire/ -- Boeing (BA) [NYSE: BA] unveiled a 3D‑printed solar array substrate approach that compresses composite build times by up to six months on a typical ...
This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch. Dropout in Neural Network is a regularization technique in Deep Learning to ...
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