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edge computing

2,462 papers

#edge computing Sep 2026

Defect‐Engineered N‐Doped ZnO as a Dual‐Functional Platform for PENG‐Driven Memristive Sensory Memory

Energy‐efficient computing is a critical challenge for artificial intelligence and edge applications. Although self‐powered memory systems that integrate sensing, energy harvesting, and storage are promising, they often suffer from high leakage currents, poor reproducibility, and material incompatibility. Here, we...

Dong-eun Kim, A. Thean, Minjae Kim et al. · 0 citations
#edge computing Book Sep 2026

Emotionally Adaptive IoT Ecosystems for Neurodivergent Cognitive Regulation

Neurodivergent factors that commonly have their effect on learning, behavior and social participation are sensory hypersensitivity, emotional dysregulation and cognitive overload. It is on this chapter, where the Emotionally Adaptive IoT Ecosystem is proposed and it takes a step beyond the simple identification of emot...

Shilpa Aarthi, R. N. Ravikumar · 0 citations
#edge computing Open access Sep 2026

计算机技术在移动式VR游戏房车中的应用基础与场景适配

Mobile VR gaming RVs integrate display terminals, graphics computing, spatial perception, game content, network services, and operational support into a limited in-vehicle space, enabling immersive gaming services at dispersed locations. This paper adopts a narrative review approach, organizing research on vehicular or...

庆鑫 曾, 菲 朱, 品含 郭 · 0 citations
#edge computing Open access Sep 2026

PUH Theorem 367 — A Central Planck Core Lowers the Maximum Neutron-Star Mass by 1.3 Times Its Own Mass, Independent of the Equation of State; T328's Flattening Does Not Occur

Photonic Universe Hypothesis (PUH) — Calculation. THE PLANCK CORE HYPOTHESIS THIS NOTE TAKES AS GIVEN. This note does NOT test whether Planck cores exist; it takes the framework's account of them as given and asks what that account implies for neutron stars. T243 states it: "all Planck cores are structurally isomorphic...

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

The Guarino Infrastructure Dependency Metric, Paper III: The Water Edge at the Tap and the Price of an Hour of Autonomy

Paper III of the Guarino Infrastructure Dependency Metric (GIDM). Abstract. Papers I and II of this series derived the buffer group ΠB = Ta/Tx on every edge of an infrastructure dependency graph and tested it on the February 2021 Texas chain, leaving two things open: the water edge below the tap, which Paper I could va...

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

Establishing simulation-derived acetabular targets for walking and deep squat: a musculoskeletal modeling study

Background Deep squats are required for basic activities of daily life, such as toileting and floor work, but the Lewinnek acetabular safe zone was based on static supine radiographs and did not account for dynamic pelvic positioning during functional activities. Consequently, quantitative positioning targets that inte...

Haijun Xu, Jin Zheng, Wei Shi et al. · 0 citations
#edge computing Open access Sep 2026

Does the Front Row Carry It All? Concrete Edge Failure of Multi-Row Anchor Groups in EN 1992-4 — A Critical Re-examination by Hand Calculation, Nonlinear Finite-Element Analysis (Code_Aster) and the AAS Equal-Share Method

EN 1992-4 verifies concrete edge failure of a multi-row anchor group loaded in shear towards a free edge by assuming that only the row closest to the edge is effective and that it carries the whole shear load. The consequence is paradoxical: the verified resistance does not grow when rows are added behind the front row...

Yves De Lathouwer · 0 citations
#edge computing Open access Sep 2026

EmboDrone: towards mobile proximal spatial intelligence for elderly outdoor assistance

Abstract Outdoor mobility presents persistent safety challenges for older adults, particularly in environments with uneven surfaces, dynamic traffic conditions, and dense crowds. Existing assistive technologies, ranging from wearables to walking companion robots and assistive drones, provide useful support but often op...

Xiaomeng Zhang, Yu Yan, Jiadong Liang et al. · 0 citations
#edge computing Open access Sep 2026

PUH Theorem 367 — A Central Planck Core Lowers the Maximum Neutron-Star Mass by 1.3 Times Its Own Mass, Independent of the Equation of State; T328's Flattening Does Not Occur

Photonic Universe Hypothesis (PUH) — Calculation. THE PLANCK CORE HYPOTHESIS THIS NOTE TAKES AS GIVEN. This note does NOT test whether Planck cores exist; it takes the framework's account of them as given and asks what that account implies for neutron stars. T243 states it: "all Planck cores are structurally isomorphic...

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

Code and results: radiomic texture features under lossy compression

Code and result files accompanying the manuscript “Radiomic Texture Features Can Survive Lossy Compression Exactly: Fixed-Bin-Size Discretisation Is a Threshold Panel” (I. Avcibas, 2026), prepared for submission to the Journal of Imaging Informatics in Medicine. Radiomic texture features are computed from discretised g...

İsmail Avcıbaş · 0 citations
#edge computing Open access Sep 2026

Edge-Decimated Biometric Ingestion and Deterministic AI Clinical Orchestration: A Three-Tier Architecture for Safe Remote Patient Monitoring

Remote patient monitoring (RPM) systems face two critical unsolved challenges: (1) Bluetooth Low Energy (BLE) data continuity failure when progressive web applications (PWAs) enter background execution, causing silent, irrecoverable loss of patient biometric data; and (2) large language model (LLM) hallucination during...

Jublee Raju Chagantipati · 0 citations
#edge computing Review Open access Sep 2026

Publish/Subscribe for Edge Intelligence: Systematic Review and Future Prospects

This survey provides a roadmap for advancing pub/sub mechanisms to meet the demands of interactive distributed computing environments, and proposes the integration of agentic AI to enhance adaptability and autonomy.

Alaa Saleh, Sasu Tarkoma, Susanna Pirttikangas et al. · 6 citations

From tech blogs

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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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