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· Zenodo (CERN European Organi...· 0 citations
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· Zenodo (CERN European Organi...· 0 citations
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· Zenodo (CERN European Organi...· 0 citations
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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· Zenodo (CERN European Organi...· 0 citations
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· Zenodo (CERN European Organi...· 0 citations
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.· University of Auckland Data...· 0 citations
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.· University of Auckland Data...· 0 citations
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· Zenodo (CERN European Organi...· 0 citations
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.· Lecture notes in computer sc...· 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