Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

Forbes contributors publish independent expert analyses and insights. Philip Maymin, a professor of analytics and AI, covers finance and AI. Is this a deep learning neural network, with blue inputs, ...

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 ...

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 ...

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 ...

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 ...

Figure shows (a) Schematic of the MoS 2 memtransistor structure, highlighting the selectively treated and untreated areas for Schottky barrier modulation. (b) Optical images of the fabricated ...

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 ...