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 ...

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 ...

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 ...

A flexible monolithic 3D-integrated tactile sensing system, inspired by the tactile perception mechanism of human skin, was developed based on a holey MXene paste. Large-scale device fabrication was ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

3D rendering—the process of converting three-dimensional models into two-dimensional images—is a foundational technology in computer graphics, widely used across gaming, film, virtual reality, and ...

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 ...

Some autistic traits related to challenges with social interaction, mental flexibility and visual perception could be alleviated through a new, noninvasive therapy. A team of researchers, including ...

Abstract: This paper introduces an innovative approach utilizing a deep neural network (DNN) to optimize the modulation scheme for time-modulated antenna array (TMAA) to verify specific side lobe and ...

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