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edge computing

2,492 papers

#edge computing Open access Sep 2026

PUH Theorem 366 (Corrigendum to T365) — The Substrate Tensor, Written Explicitly, Satisfies ρ + 3p ≥ 0; Λ Is Not in T175, and T178 Says It Need Not Be

Photonic Universe Hypothesis (PUH) — Corrigendum. WHAT IS WITHDRAWN. T365 Result 365.1 — "the cosmological constant is the gradient energy of an incompletely relaxed lattice" — IS WITHDRAWN. T365 Result 365.4 — the prediction of w slightly greater than −1 — IS WITHDRAWN WITH IT. The error was not in the reading of T175...

Brian Martell · 0 citations
#edge computing Open access Sep 2026

The Nuclear Construction and Primordial Abundance: Polytope Closure on a Hexagonal Boundary, and the Reduction of Nucleosynthesis to Counting

A companion manuscript reported a correspondence between light-nuclear structure and closure conditions on regular triangular polytopes, stating the results without disclosing the derivation. This manuscript supplies the method and extends it to primordial nucleosynthesis. We give the operation converting a subdivided...

Paul Rodgers · 0 citations
#edge computing Dataset Open access Sep 2026

Laboratory dataset for a locally fabricated flat Coanda-effect screen: 52 clear-water runs and model capacity predictions

Laboratory dataset for a locally fabricated flat Coanda-effect screen Fifty-two clear-water runs on a flat Coanda-effect screen intake fabricated from locally available materials, with the measured capture compared against the predictions of the Coanda-effect screen analysis software distributed by the US Bureau of Rec...

Eduardo Carrión Coronel · 0 citations
#edge computing Open access Sep 2026

A cognitive network framework for intelligent 5G systems with AI-based traffic analysis and adaptive optimization

Abstract This paper describes the design of a secure and sustainable communication framework that is specifically targeted for interactive mobile learning platforms and the data of the users are protected through effectively applying lightweight cryptographic methods, characterizing an adaptive risk based authenticatio...

Ghaida Muttashar Abdulsahib, Zaid Ali Hussein, Ahmed A.F. Osman et al. · 0 citations
#generative ai Open access Sep 2026

The Cheapest Digital Twin: A Pre-Registered Map of Twin-Native Extensions to a Frozen Single-Token Edge Encoder

The Cheapest Digital Twin: A Pre-Registered Map of Twin-Native Extensions to a Frozen Single-Token Edge Encoder Randolph James Ferlic, M.D. and Kimberly Kate Ferlic — Fieldstone Analytics, LLC, Austin, TX, USA Preprint · Zenodo DOI: 10.5281/zenodo.22922678 · CC-BY 4.0 · Community: spiral-domain-encoder-campaign Abstrac...

Randolph James Ferlic, Kimberly Kate Ferlic · 2 citations
#edge computing Open access Sep 2026

Stress-engineered 0.34 nm graphene memristors for low-power probabilistic computing

Memristors are promising for neuromorphic computing electronics, yet scaling is hindered by the difficulty of fabricating ordered nanoscale electrodes. Here, we report an angstrom-scale graphene-edge memristor with a geometrically defined 0.34 × 0.34 nm2 crossed-electrode area. Key to this achievement is our stress-dis...

Yanming Liu, Jinzhu Li, Zhoujie Pan et al. · 0 citations
#edge computing Open access Sep 2026

New edge proposed: asia_range_reversal_at_london_fix — E8 Intelligence Research

{ "name": "asia_range_reversal_at_london_fix", "source": "Kathy Lien / classic Asian-session range fade used in FX prop desks", "type": "entry_engine", "rule": "If London 10:00 UTC bar closes beyond the Asia session (00:00-08:00 UTC) range boundary by more than 0.5 ATR(14) of the 1H bars, enter counter-trend at the ope...

Andrew Stewart Caldin · 0 citations
#edge computing Open access Sep 2026

LAB #2576 NEUTRAL: TG AUTO: New edge proposed: asia_range_reversal_at_london_fix — E8 Intelligence Research

IDEA: AUTO-FORWARDED from the Telegram/breakthrough stream (#814345, division=research, agent=gtx_scout): { "name": "asia_range_reversal_at_london_fix", "source": "Kathy Lien / classic Asian-session range fade used in FX prop desks", "type": "entry_engine", "rule": "If London 10:00 UTC bar closes beyond the Asia sessio...

Andrew Stewart Caldin · 0 citations
#edge computing Open access Sep 2026

Code, protocols and data for: Null-model treatment of the sensory-motor boundary changes an evolutionary connectome comparison

Code, frozen pre-registration protocols, analysis outputs, figures and manuscripts for the preprint Null-model treatment of the sensory-motor boundary changes an evolutionary connectome comparison. Agents whose brain is a compressed adult Drosophila FlyWire v783 connectome evolve in a 2D foraging world next to populati...

박규정 · 0 citations
#edge computing Open access Sep 2026

Homocyclic Jacobians of planar biconnected graphs

For every r ≥ 1, we construct a simple planar biconnected graph with 2r + 2 vertices, 4r + 1 edges, maximum degree at most four, and Jacobian (ℤ/8ℤ)^r. This disproves the bounded-multiplicity conjecture of Gaudet, Jensen, Ranganathan, Wawrykow and Weisman. We give explicit generators and compute the monodromy pairing:...

Anass NIFA · 0 citations
#edge computing Open access Sep 2026

Daimon Interceptor

Based on the provided documentation, here is a comprehensive summary of the automated interceptor system's architecture, divided into its core subsystems and physical requirements. Core Functional Disciplines An automated short-range or counter-unmanned aerial system (C-UAS) interceptor is split into three foundational...

francis lee · 0 citations
#edge computing Open access Sep 2026

Daimon Interceptor

Based on the provided documentation, here is a comprehensive summary of the automated interceptor system's architecture, divided into its core subsystems and physical requirements. Core Functional Disciplines An automated short-range or counter-unmanned aerial system (C-UAS) interceptor is split into three foundational...

francis lee · 0 citations

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Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

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.

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