Abstract: Three-dimensional (3D) data analysis, especially 3D reconstruction, is critical within integrated circuits for quality control and inspection. The traditional 3D reconstruction, like ...

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 ...

Fig. 1 Neural array imaging system and its principle behind its ability to break the trade-off between aperture size, ffeld of view, and imaging quality. (a) The system consists of a metalens array, a ...

TL;DR: Sony and AMD's Project Amethyst introduces Neural Arrays, Radiance Cores, and Universal Compression to enhance next-gen PlayStation consoles like the PS6. These technologies optimize GPU ...

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 ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...

ABSTRACT: Ahead of the Internet of Things and the emergence of big data, the interest of research is today focused on radio access and the process of optimizing it or increasing its capacity and ...

Abstract: The convolutional neural network (CNN) is a potent and popular neural network types and has been crucial to deep learning in recent years. A standard CNN which is known as 2-dimensions CNN ...