In the rapidly evolving field of Deep Learning (DL), the trustworthiness of models is essential
for their effective application in critical domains like healthcare and autonomous systems …

This paper delves into the advancements in AI-driven seismic imaging and data analysis
techniques aimed at augmenting the efficiency of oil and gas exploration. We explore …

The purpose of this research is to identify and evaluate the technical, ethical and regulatory
challenges related to the use of Artificial Intelligence (AI) in healthcare. The potential …

The exposure of security vulnerabilities in safety-aligned language models, eg, susceptibility
to adversarial attacks, has shed light on the intricate interplay between AI safety and AI …

Recently, significant efforts have been made to create Health Digital Twins (HDTs), digital
twins for clinical applications. Heart modeling is one of the fastest-growing fields, which …

The healthcare industry is currently experiencing a groundbreakingly revolution as cloud
robotics and artificial intelligence (AI) come together. This research examines the synergistic …

Abstract Background: Artificial Intelligence (AI) stands at the vanguard of technological
innovation, encompassing the development of intelligent machines capable of mimicking …

Artificial intelligence (AI) uses advanced language models that employ deep learning
techniques to generate responses that imitate human-generated ones when given natural …

Artificial Intelligence (AI) is a very powerful new tool that is destined to markedly advance
many areas of dermatology, including cosmetic dermatology, oculoplastics, cancer detection …