Adversarial examples—images subtly altered to mislead AI systems—are used to test the reliability of deep neural networks.

Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...

Abstract: Convolutional Neural Networks (CNNs) dominate medical image classification, yet their “black box” nature limits understanding of their decision-making process. This study applies ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Dec 4 (Reuters) - CNBC has signed a multi-year deal with prediction-market operator Kalshi, bringing real-time probability data into the network's TV broadcasts and digital platforms starting next ...

To better understand which social media platforms Americans use, Pew Research Center surveyed 5,022 U.S. adults from Feb. 5 to June 18, 2025. SSRS conducted this National Public Opinion Reference ...

Nitika Garg does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

CAPE GIRARDEAU, Mo. (KFVS) - A student club at SEMO is providing students of all studies a space to explore Artificial Intelligence(AI) and cloud computing outside of the classroom. President of the ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...