Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

A NSW government data breach exposing up to 3,000 people has raised questions about the risks artificial intelligence pose to personal security. A contractor for the NSW Reconstruction Authority ...

WASHINGTON, Oct 1 (Reuters) - U.S. manufacturing activity edged up in September, though new orders and employment were subdued as factories grappled with the fallout from President Donald Trump's ...

This story is part of the KXAN Data Hub, where numbers help tell the whole story. We’ve created several data-driven stories and databases on topics including weather and climate, politics, education, ...

Sam covers personal finance topics, from the best savings rates to the reasons mortgage lenders say no. He enjoys crunching the numbers to help consumers get ahead. House prices continue to climb, ...

CATEGORY: Administrative Safeguards TYPE: Required Implementation Specification for Contingency Plan Standard CITATION: 45 CFR 164.308(a)(7)(ii)(C) The University at Buffalo Information Technology ...

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With more than a decade of experience, Nelson covers Apple and Google and writes about iPhone and Android features, privacy and security settings, and more. Nothing kills the vibe of a road trip ...

With close to a decade of writing and editing experience, Maisha specializes in service journalism and has produced work in the lifestyle, financial services, real estate, and culture spaces. She uses ...

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Disruptive innovation ...

Abstract: Dynamic mode decomposition (DMD) is an effective data-driven oscillation mode identification method for instability identification in grid-tied converters. However, time-consuming ...

Abstract: This article investigates a comprehensive data-driven event-triggered secure lateral control of autonomous vehicles under actuator attacks. We consider stabilization issues of autonomous ...