China - New Guidance On Classifying Data And Identifying Important Data In The Financial Industry. Legal News and Analysis - ...

Colgate University has been awarded the 2026 Carnegie Community Engagement Classification, an elective designation awarded by the American Council on Education (ACE) and the Carnegie Foundation ...

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 ...

In today’s digital-first world, data is both an asset and a liability. As organizations scale their use of cloud platforms, AI, and remote collaboration tools, the complexity of managing data security ...

Economists say unbiased data is essential for policymaking, and for democracy. President Trump said he ousted the head of the Bureau of Labor Statistics because the numbers produced by her agency were ...

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 ...

Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes ...

Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability of decision ...

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 ...