Skip to content

Category

edge computing

2,572 papers

#edge computing Open access Sep 2026

The Edge of the Solar System Is Five Edges, and the Innermost and Outermost Differ by a Factor of 5106 ── From the Kuiper Belt's Outer Rim at 50 AU to a Hill Radius of 255302 AU (1.237738 pc) ── And the Sun's Gravitational Domain Reaches 95.07 Per Cent of the Way to the Nearest Star ── [Paper 337]

A spacecraft is reported to have “left the solar system”. This paper asks which edge it left──the answer is that there are five edges, and it was the second from the inside. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new law is claimed──th...

Yuuki Yamagishi · 0 citations
#edge computing Open access Sep 2026

Exact loop histories require unbounded memory

A walk can return to its starting point while leaving a record that keeps growing. On a cube, counting every directed crossing loses which face loop came first; two retained states recover that distinction. Exact recovery of every reduced loop word requires unbounded memory. We characterize precisely which pairs of rep...

Washburn · 0 citations
#edge computing Open access Sep 2026

Physical Reservoir Computing with Nonlinear Temperature Characteristics of Thermal Conductivity

Physical reservoir computing (PRC) has emerged as a low-cost machine-learning framework for edge computing applications, where real-time processing and energy efficiency are critical due to the rapid growth of data generated by Internet-of-Things devices. This study proposes a PRC scheme based on nonlinear heat-conduct...

Yuki Akura, Toshiyuki Tsuchiya, Seita Umemoto et al. · 0 citations
#edge computing Open access Sep 2026

CyberTraining: Implementation: Small: Modeling Quantum Dynamics of Excited States in Materials in the Era of Machine Learning

Project Title: CyberTraining: Implementation: Small: Modeling Quantum Dynamics of Excited States in Materials in the Era of Machine LearningPI: Alexey AkimovAward number: NSF-OAC-2519325AbstractThis project addresses a critical national need for enhanced training in computational methods that support the rational desig...

Alexey Akimov · 0 citations
#edge computing Open access Sep 2026

Analysis code and outputs: cryptocurrency designation reaches the addresses that moved the money, not the infrastructure that carries it

Code and analysis outputs supporting the manuscript. Every quantity reported in the paper is drawn from the JSON files in analysis/, each produced by a script in scripts/. The study uses three kinds of data: the complete on-chain USDT histories of the 490 addresses named in Israeli counter-terrorism seizure orders and...

Qian'ang Mao, Jiaxin Wang, Jiaqi Yan · 0 citations
#edge computing Open access Sep 2026

Increased brain structural–functional coupling in the frontoparietal control network of chronic tobacco smokers

The results suggest a network-specific alteration in structure–function alignment that warrants further study and suggest a network-specific alteration in structure–function alignment that warrants further study.

Humberto Monsivais, Nicola Sambuco, Francesco Versace et al. · 0 citations
#edge computing Open access Sep 2026

Fast topological data analysis for computationally efficient feature extraction in nonstationary time series

Results position Fast TDA as a scalable geometry-guided surrogate for real-time feature extraction when VR-based persistence is computationally prohibitive, and noise-resilient topology-informed descriptors are desired.

Daniel A. Salazar Martinez, Arman Razmarashooli, Kang-Chua Yang et al. · 0 citations
#edge computing Open access Sep 2026

Enumerating Minimal Power Dominating Sets

Power Dominating Set Enumeration This repository contains the code and computational experiments accompanying the paper "Implicit Hitting Set Enumerating for Power Dominating Sets". A permanent record of the repository can be found at Zenodo. Background A power dominating set of a graph is a vertex set that marks the e...

Max Göttlicher, Thomas Bläsius, Martin Schirneck · 0 citations
#edge computing Open access Sep 2026

THE ODYSSEUS ENGINE: A ZERO-DATA, DECENTRALIZED COGNITIVE EDGE OPERATING SYSTEM FOR P2P DESKTOP SUPERCOMPUTING

ABSTRACTModern high-performance computing (HPC) and artificial intelligence infrastructures are fundamentally bottlenecked by cloud dependency, incurring immense computational costs and violating data privacy in mission-critical sectors. This paper introduces the Odysseus Engine, a decentralized cognitive edge operatin...

Sev Emre · 0 citations
#edge computing Conference Sep 2026

Edge-computing-based lightweight identity authentication and automated access control for distribution Internet of Things

LIAM-DIoT is proposed, an edge-computing method for lightweight identity verification and automated risk-aware access control that provides a practical trust boundary for camera and light detection and ranging (LiDAR) event streams, fiber-connected gateways, and closed-loop distribution automation.

Xiao-He Yue, Sen Gao, Guang-Yue Liu · 0 citations
#edge computing Open access Sep 2026

A Comet's Tail Is Not One Tail but Two, Pulled by Different Forces ── Radiation Pressure Balances Gravity at a Grain Radius of 0.2296 μm ── The Ion Tail Leans Only 5.7106 Degrees in the Solar Wind, While the Dust Tail Fans Out by Grain Size ── [Paper 339]

A comet trails its tail away from the Sun. This paper asks whether that tail is one thing──the answer is that there are two, and the forces pulling them are different. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new law is claimed──the rati...

Yuuki Yamagishi · 0 citations
#edge computing Open access Sep 2026

A Graph Path-Sum Framework for the Anderson Localization-Length Exponent from a Critical Green Function

We develop a graph path-sum framework for constructing determining equations for the Anderson localization-length exponent from a critical Green-function sector. The path sum is an all-depth representation; finite depth enters only as an explicit computational truncation. The critical Green function generates contact-i...

Yoshiki Ueoka · 0 citations

From tech blogs

See all →
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.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.