Abstract: This letter investigates distributed constrained optimization over directed networks, where multiple agents collaborate to minimize the sum of local convex cost functions subject to ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Abstract: With the high proportion of distributed energy (DER) access, traditional centralized scheduling methods can not cope with the randomness and system complexity of renewable energy. In this ...

The free LinkedIn Post Analyzer reveals how the LinkedIn algorithm evaluates posts, giving creators clear, actionable ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Distributed Integrated Energy Microgrid, as a key infrastructure for the low-carbon transition of regional energy systems, faces critical challenges in achieving optimal operation—primarily due to ...

Kubernetes often reacts too late when traffic suddenly increases at the edge. A proactive scaling approach that considers response time, spare CPU capacity, and container startup delays can add or ...

NICOSIA, Cyprus – February 10, 2026 — Blastup, a social media services company, issued an industry-focused update outlining observed changes in how content discovery and engagement signals are being ...

Dinosaur footprints have always been mysterious, but a new AI app is cracking their secrets. DinoTracker analyzes photos of fossil tracks and predicts which dinosaur made them, with accuracy rivaling ...