Abstract: Anomaly diagnosis is a fundamental problem in operation and maintenance of distributed cloud databases. Existing deep learning based methods solve this problem by classifying the anomalies ...

Blockchain has slipped from the front pages, but it has not disappeared. The speculative frenzy has given way to a quieter ...

Abstract: A distributed multiagent deep reinforcement learning algorithm (DMADRLA) with theoretical guarantees is proposed for the distributed nonconvex constraint optimization problem. This algorithm ...

Near (Hire With Near) reports that optimizing distributed employee teams enhances flexibility, cost-efficiency, and talent ...

In 2024, Virginia localities rejected more megawatts than they approved. So far in 2025, that trend has reversed.

You’ve probably seen the acronym VCJ floating around, especially if you’re into how computers talk to each other or how big ...

For enterprises, proprietary data is a source of competitive advantage. Take these four steps to ready it for AI-powered ...