Everpure's data primacy thesis is a bold architectural argument. Across four interviews at Accelerate, its executives made ...

Both Assemblyman Andrew Molitor and state Sen. George Borrello opposed legislation creating a one-year moratorium on new data ...

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

Data classification levels are the operating language of an enterprise security program. They translate business sensitivity into something access controls, retention rules, and audit logs can act on.

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

Imbalanced data classification is a challenging task in real applications. In this work. A method is proposed for image classification using imbalanced distribution of classes. The proposed method ...

[Update Nov 26, 2025] Interested in more accurate tabular data classification and support for regression? See our new model iLTM: Integrated Large Tabular Model (arXiv). HyperFast is a hypernetwork ...

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...

Gene microarray technology provides an efficient way to diagnose cancer. However, microarray gene expression data face the challenges of high-dimension, small-sample, and multi-class imbalance. The ...

Protection of Category 1 – Restricted Data is required by law or regulation. The loss of confidentiality, integrity, or availability of the data or system could have a significant adverse impact on ...