By computing watertight manifold geometry and extracting pure albedo, Neural4D delivers engine-ready 3D assets from 2D ...
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 ...
The COVID-19 pandemic highlighted an urgent need for efficient, durable, and widely accessible vaccines. This prompted several important innovations in vaccine technology, and researchers continue to ...
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 ...
SINGAPORE—China conducted the first flight of a domestically developed 3D-printed turbojet engine in November 2025, marking a milestone toward mass-producing lower-cost jet engines for applications ...
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 ...
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Neural network Python from scratch with softmax
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Visualizing neural connections in 3D with a new microscopy technique by C. Huygelen, Leiden University edited by Lisa Lock, reviewed by Robert Egan Editors' notes ...
A project group including Tongji University, Stanford University and Shanghai Institute of Technical Physics has developed a camera said to help solve the inherent imaging trade-off between bandwidth ...
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 ...
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