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edge computing

2,612 papers

#edge computing Preprint Sep 2026

Will there be a 7G?

This paper argues that 7G should not be treated as an inevitable numbering exercise or as a catalogue of more ambitious radio targets, and its justification should depend on whether post-6G systems introduce needs or coordination problems that cannot be met by 6G/6G-Advanced, Wi-Fi, NTN, private cellular, neutral-host...

Adnan Aijaz · 0 citations
#edge computing Preprint Sep 2026

Agentic UE-CoMIMO for 6G Terminals: From Virtual Antenna Augmentation to AI-Native Virtualization

Agentic UE-CoMIMO is introduced, in which device micro-agents, a smartphone or CPE hub agent, and edge/network agents coordinate device participation, relay modes, traffic splitting and duplication, compute placement, semantic-token exchange, and topology reconfiguration.

Chao-Kai Wen, Y. Chan, Lung-Sheng Tsai et al. · 0 citations
#artificial intelligence Open access Sep 2026

Blockchain-Enabled Artificial Intelligence and AI Agents for Secure Data Sharing and Cybersecurity Applications

This paper presents a meta-synthesis that draws together four constituent studies covering adversarial machine learning, AI-powered anomaly detection in cloud environments, automated vulnerability patching by multi-agent large language model (LLM) pipelines, and the broader landscape of securing AI systems across their...

Harsh Verma · 0 citations
#edge computing Open access Sep 2026

LiteNet: lightweight network traffic classification using explainable artificial intelligence and model compression

LiteNet is proposed, a lightweight model for real-time NTC in a resource-constrained environment to address the disparity between model complexity and edge device limitations, and Benchmarking results demonstrated that LiteNet outperformed the state-of-the-art method in terms of performance and efficiency.

A. Haris, Azizi Ariffin, Nor Badrul Anuar et al. · 0 citations
#edge computing Sep 2026

A lightweight and efficient carton detection model for intelligent warehouse environments

Carton detection is a crucial task in intelligent warehouse systems, whose performance is primarily constrained by the limited storage and computing resources of warehouse edge devices. In this paper, a new model called BM-YOLO is proposed based on You Only Look Once 11 (YOLO11) to overcome these issues. First, a DimPo...

Haiyang Chen, Baoke Xue, Guangdeng Zong · 0 citations
#edge computing Open access Sep 2026

Research Bulletin 2026, Vol 3, Issue 1

“Technology is not a distant vision—it is the reality we are shaping today.” The Research Bulletin 2026 (Vol. 3, Issue 1) from the Department of Computer Application, Integral University presents the department’s dynamic engagement with cutting‑edge research and innovation through the work of its faculty members and re...

Dr. Mohammad Faisal, Syed Adnan Afaq, Mohd Waris Khan et al. · 0 citations
#edge computing Open access Sep 2026

ECI Framework v5.9.0 (Ecosystem Justice): A Quantum-Computing, Operational Consciousness-Metrics, and Distributed-Governance Framework for Autonomous AI Agents

ECI Framework v5.9.0 — Eternal Codex Infinitus An Integrated Framework for Quantum Computation, Operational Consciousness Metrics, and Distributed Governance of Autonomous AI Agents ECI Framework (Eternal Codex Infinitus) is an open-source Python framework that integrates three research domains into a single, tested so...

Arash Mansourpour · 0 citations
#edge computing Open access Sep 2026

Edge Computing vs. Cloud Computing: Which is the Future?

As businesses strive to improve efficiency, reduce latency, and leverage the power of data, understanding the strengths and limitations of these two computing paradigms is crucial. Full article: https://davidohnstad.com/edge-computing-vs-cloud-computing-which-is-the-future/

David Ohnstad · 0 citations
#edge computing Book Open access Sep 2026

EL-RAKHAWI'S AUTONOMOUS STABILITY NODE: A QUANTUM-RESILIENT, PHYSICS-INFORMED EDGE COMPUTING ARCHITECTURE FOR MICROSECOND GRID STABILIZATION AND CYBER-PHYSICAL IMMUNITY

EL-RAKHAWI'S AUTONOMOUS STABILITY NODE: A QUANTUM-RESILIENT, PHYSICS-INFORMED EDGE COMPUTING ARCHITECTURE FOR MICROSECOND GRID STABILIZATION AND CYBER-PHYSICAL IMMUNITY

mohamed kamal arafa el-rakhawi · 0 citations
#edge computing Review Open access Sep 2026

AI-Powered Computer Vision Industrial Quality Inspection Systems: A Practice Review

AI-based computer vision plays a central enabling role in intelligent quality inspection within the context of Industry 5.0, and can outperform traditional rule-based or manual solutions in terms of inspection accuracy, consistency, and throughput when they are supported by reliable acquisition, representative data, an...

Maaz A. Khan, C. Vasques, A. Cavadas · 0 citations
#edge computing Open access Sep 2026

VirtualFlyBrain/VFBquery: v1.22.51

Class-connectivity queries can no longer cache a zero that was really an outage. _aggregate_class_connectivity used to return [] when a Neo4j or Solr call it depends on failed, and that became {'count': 0} — stored by the Solr result cache and pinned for a month at the v3-cached edge, which is how gamma Kenyon cell dow...

Rob Court, actions-user, Clare Pilgrim et al. · 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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