arXiv (All)
open access
Computing at the Edge Enabled by Indoor Photovoltaics and Ferroelectrics
The exponential, pervasive rise of artificial intelligence (AI), hosted in large data centres, will test the limits of the underpinning infrastructure, including electricity and water supplies, which are becoming increasingly precious resources. Rather than performing all AI computations in centrali
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- AI for AI: Optimizing Additional Infrastructure Build-out to Power Artificial Intelligence Data Centers#985546
- AI Can Do Your Homework. Now What? Report from an Online Workshop on Computing Assessment in the Age of Generative AI#1064386
- From computation to environmental cost the resource burden of artificial intelligence#159389
- Railway Revolution – AI-Driven Network Asset Change Detection for Infrastructure Excellence#109660
- Beyond the Last Truffula Tree: SustainAI - A Water-Aware, Closed-Loop Framework for Environmentally Accountable AI#1105306
Record · ID 1201146
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive