Residents in District 5, located just west of the city center, filed the most complaints in 2025, with 65,200 requests coming ...
In a social media post, Trump said he would move to ban large institutional investors from "buying more single-family homes" ...
Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
The Delete Request and Opt-out Platform (DROP) is a free, state-run tool that allows Californians to stop more than 500 data ...
The Indian government plans to introduce a 21-digit Battery Pack Aadhaar Number (BPAN) for electric vehicle batteries, ...
Last year, the UK government announced ambitious plans for a national digital identity scheme, but will 2026 lead to more ...
Gold futures fell as investors awaited key US economic data for clearer signals on the outlook for monetary policy this year. During Thursday’s ...
An n8n node that provides a simple in-memory key-value store. This node is useful for temporarily sharing data between different workflow executions or different parts of the same workflow. It is ...
US retail sales were largely unchanged in October on a monthly basis, signaling a slowdown in a key engine of US economic growth, US Department of Com ...
This year's NFL playoffs will feature three elite defenses: the Texans, Seahawks and Broncos. What makes each so unstoppable?
Five draft-eligible players expected to be selected in the first round generated significant chatter over the course of the ...
Transfer Learning for Anomaly Detection in Rotating Machinery Using Data-Driven Key Order Estimation
Abstract: The detection of anomalous behavior of an engineered system or its components is an important task for enhancing reliability, safety, and efficiency across various engineering applications.
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