The language used to describe conflicts naturally reflects assumptions about how different forms of violence emerge and ...

One in five insurance entities operating in Bermuda has yet to complete the classification of its data, a basic regulatory requirement under the Bermuda Monetary Authority’s cyber-risk framework, ...

Abstract: The application of machine learning to fMRI data classification, prediction, and analysis tasks has experienced rapid growth in recent years. However, its implementation has been limited by ...

A newly enacted New York law requires retailers to say whether your data influences the price of basic goods like a dozen eggs or toilet paper, but not how. If you’re near Rochester, New York, the ...

Info-Tech Research Group has released a new resource to help organizations tackle the growing challenges of data discovery and classification. The blueprint, titled Discover and Classify Your Data, ...

President Trump fired the head of the BLS, claiming manipulated jobs numbers after a report of slowed hiring. While revisions were more dramatic than usual, these numbers are always revised. WSJ ...

Welcome to the protegrity-developer-edition repository, part of the Protegrity AI Developer Edition suite. This repository provides a self-contained experimentation platform for discovering and ...

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.

ABSTRACT: Background: Treatment-resistant depression (TRD) poses significant clinical challenges, with many patients inadequately responding to augmentation strategies like aripiprazole. Pramipexole, ...

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 ...