Tech Times

EU Anonymization Rules Tightened: AI Inference Attacks Drive New Three-Test Standard

GDPR anonymization rules tightened: the European Data Protection Board’s Guidelines 02/2026 replace the old field-stripping ...
Seven Days

Access to Evolving Estrogen Therapy Remains Uneven in Vermont

Hormone therapy was once pushed to the margins, but guidelines have shifted. Now, in-demand products such as patches can be ...
JD Supra

Singapore AI Guidance Governance Data Protection and Legal Responsibility

Singapore shows strong commitment to developing practical guidance and addressing the complex legal challenges posed by emerging AI technologies.
YouTube on MSN

Make a professional Excel dashboard from scratch using real-world data

In this tutorial, you'll learn how to create an interactive Excel dashboard from scratch, focusing on the richest people in ...
The Next Web

Why hackers are targeting your digital supply chain, not just your systems

Supply chain cyberattacks are bypassing internal defences by exploiting trusted third-party suppliers. From the XZ Utils backdoor to the Marks and Spencer MoveIt breach, recent incidents show how ...
United States Army

Data Analysis for Decision Advantage

USARIC Data Assessment Team Supports Commanders during OSJ 26CAMP SHELBY, Miss. — As Soldiers test emerging technologies ...
GitHub

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

For the artificial intelligence (AI) engineering, 95% of the time and effort is consumed by data related workloads. In order to tackle this challenge, tech giants spend thousands of hours on building ...
MIT Technology Review

The emergence of the web data infrastructure layer for AI

As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.
IEEE

Privacy-Preserving Distributed Data Access Control for CloudIoT

Abstract: The Edge-Fog-Cloud interplay in the Internet-of-Things (IoT) leads to many exciting data-sharing applications that use access control systems as primary requirements. To ensure a ...
IEEE

Tutorial on Empirical Mode Decomposition: Basis Decomposition and Frequency Adaptive Graduation in Non-Stationary Time Series

Abstract: This tutorial explores the class of non-parametric time series basis decomposition methods particularly suited for nonstationary time series known as Empirical Mode Decomposition (EMD). In ...