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edge computing

2,492 papers

#edge computing Open access Sep 2026

Exact Renormalisation, Stochastic Refinement, and Carrier-Derived Graph Distance in a Relational Event–Field Model

We study a discrete relational event–field model generated from a K5K_5 seed by local degree-four K4K_4 vertex replacement, with conserved positive vertex charge, positive lapse, a clock-weighted stochastic rewrite law, quadratic graph energy, and a local massless carrier. For the fully synchronous hierarchy, we derive...

Liam.S Grinstead · 0 citations
#edge computing Open access Sep 2026

Technical Evolution of Lethal Autonomous Weapon Systems (LAWS) and Autonomous UAVs: A Comprehensive Analysis of International Humanitarian Law, Supply Chain Control, and Sovereign Edge Defense

概要 (Description / Abstract in Japanese) 本論文は、自律型致死兵器システム(Lethal Autonomous Weapon Systems: LAWS)および人工知能(AI)を統合した自律型無人航空機(UAV)・徘徊型兵器(Loitering Munitions)の急速な軍事利用に伴う技術的・法規範的・地政学的課題を多角的に分析した学術プレプリントである。 現代の紛争環境において、ドロ...

洋子 長谷部 · 0 citations
#edge computing Open access Sep 2026

21) Infrastructure-Aware C5I Service Orchestration Across Tactical Edge, Regional Compute, and Military Data Centers

ABSTRACT This study develops a defense-oriented framework for infrastructure-aware c5i service orchestration across tactical edge, regional compute, and military data centers within an integrated military C5I environment. The research addresses the engineering problem of maintaining mission information advantage when p...

M. Rizwan Yasin · 0 citations
#edge computing Open access Sep 2026

Hybrid Edge AI Node: A Fractal Governance Architecture for Sovereignty-Aware Distributed AI Processing

Centralized cloud architectures increasingly struggle to meet the latency, data-sovereignty, and bandwidth demands of industrial AI workloads. This paper presents Hybrid Edge AI Node, a distributed processing architecture that unifies six previously separate research threads — hierarchical edge orchestration, hierarchi...

JAKKRIT BOONMA · 0 citations
#edge computing Open access Sep 2026

Enterprise AI as a Reconstruction Layer: Governing Derived Knowledge and Execution-Time Consequences

Abstract Modern enterprise AI systems increasingly operate across multiple authorized data sources, memories, applications, and tools. This creates a security problem that is not adequately described as conventional data theft. An AI workload may be individually authorized to read support records, engineering informati...

Sangam Das · 0 citations
#edge computing Open access Sep 2026

CAMS Protocol R (CAMS-R-2026-001): preregistration, single-run results, and rubric erratum final

Repairing the Instrument Strengthened the Signal: Protocol R2, a Preregistered Replication of CAMS Relational Structure with Co-Primary Detrended Endpoints Study ID: CAMS-R2-2026-001 (CAMS-TEST-1.0 §8, co-primary endpoints) Authors: K. McKern (ComplexityWorkz, Sydney) Date: 2026-09-20 Status: Preregistered, single hold...

Kari McKern · 0 citations
#edge computing Open access Sep 2026

CHATBOX: My Best Friend

In New Zealand, approximately 195,000 children require mental health support, yet traditional care faces severe resource constraints and observer effects. CHATBOX is an interactive companion robot designed to deliver continuous, personalized, and non-judgmental emotional assistance. Powered by an edge-computing archite...

Jay Song, Seth Yoo, Joey Back et al. · 0 citations
#edge computing Open access Sep 2026

CHATBOX: My Best Friend

In New Zealand, approximately 195,000 children require mental health support, yet traditional care faces severe resource constraints and observer effects. CHATBOX is an interactive companion robot designed to deliver continuous, personalized, and non-judgmental emotional assistance. Powered by an edge-computing archite...

Jay Song, Seth Yoo, Joey Back et al. · 0 citations
#edge computing Open access Sep 2026

Technical Evolution of Lethal Autonomous Weapon Systems (LAWS) and Autonomous UAVs: A Comprehensive Analysis of International Humanitarian Law, Supply Chain Control, and Sovereign Edge Defense

概要 (Description / Abstract in Japanese) 本論文は、自律型致死兵器システム(Lethal Autonomous Weapon Systems: LAWS)および人工知能(AI)を統合した自律型無人航空機(UAV)・徘徊型兵器(Loitering Munitions)の急速な軍事利用に伴う技術的・法規範的・地政学的課題を多角的に分析した学術プレプリントである。 現代の紛争環境において、ドロ...

洋子 長谷部 · 0 citations
#edge computing Open access Sep 2026

Exact Renormalisation, Stochastic Refinement, and Carrier-Derived Graph Distance in a Relational Event–Field Model

We study a discrete relational event–field model generated from a K5K_5 seed by local degree-four K4K_4 vertex replacement, with conserved positive vertex charge, positive lapse, a clock-weighted stochastic rewrite law, quadratic graph energy, and a local massless carrier. For the fully synchronous hierarchy, we derive...

Liam.S Grinstead · 0 citations
#edge computing Oct 2026

A BEMD-Based Quaternion Filtering Approach Sharp-to-Soft Kernel CT Image Conversion

The quality of computed tomography (CT) images is significantly affected by the selection of reconstruction kernels: sharp kernels improve spatial resolution but increase noise, whereas soft kernels diminish noise at the expense of edge clarity. This study presents an innovative enhancement framework utilising Bidimens...

Mahmoud Nasr, J. Argasiński, Krzysztof Brzostowski et al. · 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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