AI, standards like ETIM and evolving PIM workflows are rapidly lowering the long-standing “product data tax” in distribution. Here’s how manufacturers and distributors are accelerating item onboarding ...

Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.

Abstract: This paper defines a positive and unlabeled classification problem for standard GANs, which then leads to a novel technique to stabilize the training of the discriminator in GANs and deal ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

In the race to innovate, many organizations are inadvertently creating critical security vulnerabilities by misconfiguring their SaaS environments, especially with the rise of agentic AI. The way we ...

This paper explores the evolving landscape of data security in artificial intelligence (AI) environments and provides practical guidance aligned with the Cloud Security Alliance (CSA) AI Controls ...

Bringing a truly novel medical device to market is not for the faint of heart. The FDA’s de novo classification process, designed for low- to moderate-risk devices without a predicate, offers enormous ...

The cybersecurity industry has turned data lineage into another buzzword, with vendors promising complete data visibility that will solve all data protection challenges. This marketing transforms a ...

Abstract: Automated electrocardiogram (ECG) classification tasks play a crucial role in clinical but face challenges due to the scarcity of accessible and well-labeled data. ECG data augmentation is ...

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...