Abstract: Deep neural networks are known to be vulnerable to adversarial examples, where adding carefully crafted adversarial perturbations to the inputs can mislead the DNN model. However, it is ...

Abstract: The objective of this paper is to investigate the ability of physics-informed neural networks to learn the magnetic field response as a function of design parameters in the context of a ...

This model solves the governing coupled system of differential equations -- including conductive heat transfer and resin cure kinetics -- by optimizing the parameters of a deep neural network using a ...

Synthesizing realistic audio, images, and videos using algorithms has always been essential in Signal Processing, Computer Graphics, and Computer Vision. When using pre-artificial intelligence (AI) ...

SA Spotlight uses AI to summarize content published on Seeking Alpha. All summaries are reviewed by human editors prior to publication. Investors Should Know: The planned buildout of power-hungry AI ...

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...

Over the past few years, new psychoactive substances (NPS) have become a global health and social problem because of their wide variety, constant structural renewal, vague legal definitions, and rapid ...