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edge computing

2,612 papers

#edge computing Open access Sep 2026

The Ladder of Theory A: Dynamics of Theory Hierarchies—Operational Boundaries and Structural Transitions

The evolution of scientific theories exhibits a pronounced hierarchical character,with each level providing effective predictions within specific operational boundaries, and undergoing structural transitions at these boundaries. Based on empirical patterns from the history of science and hard constraints from formal sy...

changzheng zhou, ziqing zhou · 0 citations
#edge computing Open access Sep 2026

CHARTER: Certification and History Architecture for Robust Transport, Evidence, and Retention

CHARTER — Certification and History Architecture for Robust Transport, Evidence, and Retention — studies exact Eisenstein norm shells and the extra structure required to orient, compare, certify, carry, and intentionally release them without confusing mathematical equality with evidentiary or physical equivalence. The...

Christopher D. Pang · 0 citations
#edge computing Open access Sep 2026

Based on Multi-Agent Collaboration: A Distributed Resource Scheduling System

This paper presents a novel approach to distributed resource scheduling utilizing a multi-agent collaborative framework. The core claim is that through the orchestrated interaction of multiple intelligent agents, dynamic and optimized scheduling of distributed resources can be achieved, ultimately enhancing resource ut...

Jincheng Zhang · 0 citations
#edge computing Open access Sep 2026

A Survey of Inference Processing Units for Large Language Model Inference: Chips, Systems, Algorithms, and Paradigms (2024–2026)

This survey reviews 2024–2026 progress in LLM inference through a unified "inference processing unit" (IPU) lens, organized into 4 coupled layers. 1. The chip layer covers dedicated accelerators (Groq's LPU, Cerebras' wafer-scale engine), hyperscaler ASICs (Google's TPU v7, AWS Trainium 3, Microsoft's Maia 200), and em...

Zheping Wang · 0 citations
#edge computing Open access Sep 2026

The Ladder of Theory A: Dynamics of Theory Hierarchies—Operational Boundaries and Structural Transitions

The evolution of scientific theories exhibits a pronounced hierarchical character,with each level providing effective predictions within specific operational boundaries, and undergoing structural transitions at these boundaries. Based on empirical patterns from the history of science and hard constraints from formal sy...

changzheng zhou, ziqing zhou · 0 citations
#edge computing Open access Sep 2026

A Pipe Leak Detection System Using Pressure and Flow Sensors for Residential Water Pipes Using The Sugeno Fuzzy Method

A smart pipe leak detection system prototype based on the Internet of Things (IoT) using the Zero-Order Sugeno Fuzzy Logic method demonstrated the capability to reduce false alarm risks and provide reliable automatic water supply shutoff mitigation without depending on the stability of cloud server connectivity.

Adam Azzamul Husni Huda, Mufti Ari Bianto, Heri Ardiansyah · 0 citations
#edge computing Open access Sep 2026

Quantum-Inspired Cryptographic Key Exchange using Graph-Based Routing

This paper proposes a novel cryptographic key exchange protocol leveraging concepts inspired by quantum mechanics, specifically superposition and probabilistic exploration, through a graph-based routing mechanism. Traditional key exchange protocols often rely on computationally intensive mathematical problems, making t...

Jincheng Zhang · 0 citations
#edge computing Open access Sep 2026

African Computer Engineering: a comparative evidence study of African Computer Engineering pathways, implementation constraints, and policy implications in Africa

The present analysis reframes African computer engineering as a problem of design under persistent intermittency, cost ceilings and maintenance scarcity rather than as delayed adoption of imported architectures. It asks why performance, energy and reliability models calibrated for stable grids and dense service network...

Priyanka Ramlugun, Marie-Noëlle Agathe, Jonathan Wong Ah-Chong · 0 citations
#edge computing Open access Sep 2026

A Survey of Inference Processing Units for Large Language Model Inference: Chips, Systems, Algorithms, and Paradigms (2024–2026)

This survey reviews 2024–2026 progress in LLM inference through a unified "inference processing unit" (IPU) lens, organized into 4 coupled layers. 1. The chip layer covers dedicated accelerators (Groq's LPU, Cerebras' wafer-scale engine), hyperscaler ASICs (Google's TPU v7, AWS Trainium 3, Microsoft's Maia 200), and em...

Zheping Wang · 0 citations
#edge computing Open access Sep 2026

Quantum-Inspired Optimization of Graph Partitioning Algorithms

Graph partitioning is a fundamental problem in various fields, including computer graphics, high-performance computing, and network design. Traditional graph partitioning algorithms often suffer from high computational complexity, particularly when dealing with large and complex graphs. This research investigates the p...

Jincheng Zhang · 0 citations
#edge computing Open access Sep 2026

Beyond Recursion: The Transfinite Edge of the Busy Beaver Function — E8 Intelligence Research

FINDING: The Busy Beaver function BB(n) and the Church-Kleene ordinal ω₁^CK define the transfinite boundary of computability, where growth rates exceed all recursive functions and collapse into non-computable arithmetic truth. | MATH: BB(n) = max steps before halting among n-state Turing machines; BB(5) = 47,176,870 (r...

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

ZScope

Stable release for Windows. Includes all core EIS fitting features. What's New in v3.0.0 ZScope 2.x.x was a very good tool for fitting one spectrum. This release is about everything around that: understanding what your circuit is doing, controlling how it is fitted, deciding which circuit is right, and — the reason for...

Tecush, Tayebeh Sharifi · 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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