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edge computing

2,572 papers

#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

Preregistered cross-cohort evaluation of a metabolite-informed host-response score in adult sepsis

This is a preregistered secondary analysis of public adult sepsis transcriptomic cohorts. We will evaluate a fixed, equally weighted five-gene host-response score whose gene directions were derived from infection-versus-reference comparisons without using mortality outcomes. The score is anchored to primary-source-veri...

Ye Sun · 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

AI driven workflow scheduling in dynamic edge environments using Jacobi identity based deep neural network and multi criteria optimization

Simulation result findings proves the proposed system’s effectiveness, highlighting the crucial improvements in reducing makespan, enhancing energy efficiency, and optimizing resource utilization as compared to the traditional static and single-criteria scheduling strategies.

Neetu Bansla, Oshin Sharma, P. Sharma · 0 citations
#edge computing Open access Sep 2026

Gauge Architecture and Gauge Skin in the Standard Model

SYM-1 of Symmetry ARC Integrated Role-Occupancy Closure and Locus-Sensitive Gauge Audit This paper separates the load-bearing gauge architecture of the Standard Model from representative gauge operations that function only as gauge skin at a specified locus. It develops an integrated, fixed-target classification of gau...

Amos Jay Maley Maley · 0 citations
#edge computing Open access Sep 2026

Decentralized Edge Computing Resource Sharing Based on Blockchain Technology

This paper proposes a novel approach to edge computing resource sharing leveraging blockchain technology. Traditional edge computing platforms often suffer from centralized control, leading to vulnerabilities and a suboptimal utilization of resources. This research introduces a decentralized system where edge computing...

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

Gauge Architecture and Gauge Skin in the Standard Model

SYM-1 of Symmetry ARC Integrated Role-Occupancy Closure and Locus-Sensitive Gauge Audit This paper separates the load-bearing gauge architecture of the Standard Model from representative gauge operations that function only as gauge skin at a specified locus. It develops an integrated, fixed-target classification of gau...

Amos Jay Maley Maley · 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 Mohammadi, Tayebeh Sharifi · 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

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

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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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