Nextech3D.ai Expands AI Event Technology Into New Markets and Implements 20%-30% Enterprise Price Increase

AI‑powered event technology and SaaS company broadens addressable market and increases enterprise pricing to support ...

Akamai Discloses Technical Details on AI Cluster Deal

The deal underscores enterprise demand for Akamai's integrated AI development and deployment platform and represents one of the world's largest NVIDIA Blackwell RTX PRO™ 6000 Server Edition clusters ...
Princeton University

How a band of engineers anticipated the cloud and remade the internet

Distributed systems of servers now power almost everything we do online, from file sharing to video streaming to shopping.

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 ...

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.

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 ...
IEEE

DF-SegDiff: A Diffusion Segmentation Model using a New Distributed Parallel Computing Algorithm

Abstract: Brain tumours are among the most life-threatening diseases, and automatic segmentation of brain tumours from medical images is crucial for clinicians to identify and quantify tumour regions ...
IEEE

Towards Energy-Efficient Edge Inference in Radio Cpns: a Mixture-of-Depths Transformer Based Tri-Parallel Distributed Approach

Abstract: Large language models (LLMs) have shown remarkable abilities by significantly scaling up model size, but this has also greatly increased their computing overhead. Traditional solutions to ...