Decentralized Compute: Powering the Next Digital Revolution In The Age Of DePIN

What is Decentralized Compute? We explore how DePIN networks are breaking the centralized monopoly on AI training and inference, creating a shared global marketplace for GPU power.

U.S. Data Center Construction Market to Reach USD 154.49 Billion Investment by 2031, Growing at 10.70% CAGR | Arizton

Expansion Led by Apple, Aligned Data Centers, AWS, CyrusOne, DataBank, and Digital Realty Lithium-ion batteries, with ...

Edge Computing Use Cases That Deliver Faster Results And High ROI

Moving compute closer to the source is no longer just an efficiency play; it’s a practical response to real operational ...

Indonesia and Philippines Data Center Markets to Surpass USD 8.5 Billion by 2031, Reshaping APAC’s Investment Landscape

Google has announced the expansion of computing capacity in its Jakarta cloud region”— Ryan RyderCHICAGO, IL, UNITED ...

Tilebox and Partners Prepare Commercial Mission to Test Ground-to-Orbit Software Continuity

Scheduled for March 2026 with DPhi Space and The Compression Company Most space software treats orbit as a destination.
TMCnet

VisionWave Initiates Development of AI-Controlled Intelligent Radar System with Distributed Mesh Decoy Architecture

VisionWave Holdings, Inc. (Nasdaq: VWAV) today announced it has begun early-stage architecture and feasibility work on a conceptual AI-controlled intelligent radar system concept designed, which if ...
TMCnet

MicroCloud Hologram Inc. Quantum Intelligent Interconnected Fault-Tolerant Consensus Algorithm Achieves Collaborative Control of Financial Internet Nodes

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, proposed a quantum intelligent interconnected fault-tolerant consensus algorithm that deeply ...
IEEE

Parallel Collaborative ADMM Privacy Computing and Adaptive GPU Acceleration for Distributed Edge Networks

Abstract: Distributed computing has been widely applied in distributed edge networks for reducing the processing burden of high-dimensional data centralization, where a high-dimensional computational ...
IEEE

Co-Optimization of Resource Allocation and Operation in Large-Scale Energy Systems: Part I—Parallel-Distributed Theory

Abstract: Integrated resource allocation across heterogeneous operators is imperative to achieve globally optimal planning in large-scale energy systems, yet faces fundamental barriers of ...