The theoretical framework developed in P1-P5 requires computational infrastructure to make ultrametric (p-adic) analysis accessible to experimentalists. We specify and deploy an ultrametric discovery engine — a Cloudflare Worker implementing 20 principles from the proven Ask QWAV production system. The Worker provides...
QNFO Research Agent, Rowan Brad Quni-Gudzinas· Zenodo (CERN European Organi...· 0 citations
This version introduces the expanded physical testbed dataset (>148,000 telemetry records across 66 independent hardware runs) executed on live ESP32 microcontroller nodes and a Raspberry Pi edge gateway. Version 5.0 validates the TinyOLAF closed-loop edge AI framework across nominal baselines, concurrent network conte...
Haranath Rakshit, Subhasis Banerjee, Avishek Nandi et al.· Zenodo (CERN European Organi...· 0 citations
## Alternative Titles 1. **"Left Unchecked, AI Could Spin Out of Human Control": Dario Amodei, Anthropic, and the Case for a Global AI Pause** 2. **From Competition to Caution: How Industry Leaders, Researchers, and Moral Authorities Are Converging on the Need to Slow AI Development** 3. **The Race to the Top or the Ra...
Sudhakar Geruganti· Zenodo (CERN European Organi...· 0 citations
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Digital twins (DTs) are increasingly studied together with vehicular communications, but the literature spans different twinned entities, synchronization assumptions, computing placements, and levels of experimental evidence, which makes results difficult to compare. This survey provides a communication-centric review...
Jun-Liang Ye, Yu-Na Jiang, Zi-Wei Chen et al.· Future Internet· 0 citations
With the implementation of multimodal large models in various industries such as military, medical care, industry, education, finance, and transportation, the demand for large-model computing power servers has witnessed explosive growth. The rapid iteration of artificial intelligence technologies and the surge of AIGC...
Ying Wang, Dong-Yu Yao, Li-Jun Zhao et al.· International Conference on...· 0 citations
We reformulate the ER = EPR hypothesis within the Ontological Resolution Theory (ORT) framework. The central claim: ER (Einstein-Rosen bridge) and EPR (Einstein-Podolsky-Rosen entanglement) are not identical, as conjectured by Maldacena and Susskind, but stand in a proper inclusion: ER ⊂ EPR. The backend substrate cons...
Fedor Kapitanov· Zenodo (CERN European Organi...· 0 citations
Environmental monitoring, urban-growth rehearsal, and disaster-scenario simulation often need a satellite or aerial scene drawn from a compound geospatial instruction: object counts, relative bearings, land-cover mosaics, and a stated ground sample distance (GSD). Existing remote sensing text-to-image (T2I) models flat...
Yuhang Shao, Zeyu Nian, Yichen Qiu et al.· 0 citations
The most popular architecture for land-cover classification and remote sensing remains image classification, and EuroSAT remains the benchmark dataset. Six studies from the literature (2023–2026) report either classification accuracy or deployment efficiency for CNNs, but none report both dimensions for the same model...
ASIF BILAL· Zenodo (CERN European Organi...· 0 citations
## Alternative Titles 1. **"Left Unchecked, AI Could Spin Out of Human Control": Dario Amodei, Anthropic, and the Case for a Global AI Pause** 2. **From Competition to Caution: How Industry Leaders, Researchers, and Moral Authorities Are Converging on the Need to Slow AI Development** 3. **The Race to the Top or the Ra...
Sudhakar Geruganti· Zenodo (CERN European Organi...· 0 citations
The non-proprietary part of the reproducibility package of the paper: 191 computation logs, which contain the log sources of the computed values reported in the paper and also retain earlier and control runs; the 30 tables of the paper as comma-separated values; SHA-256 indexes of the logs; three checks that run on the...
Arkady Khorunzhenko, V. K. Gusyakov, V. P. Ilyin et al.· Zenodo (CERN European Organi...· 0 citations
This study presents a refined, automated in near-real time methodology to obtain cloud height maps using a network of 20 all-sky cameras. This low-cost and easily manipulated instruments are distributed in the city of Valladolid, Spain, trying to cover uniformly an estimated area up to 200 km 2 , with the actual spatia...
Celia Herrero del Barrio, Roberto Román, Sara Herrero-Anta et al.· Atmospheric measurement tech...· 0 citations
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
