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edge computing

2,752 papers

#edge computing Open access Oct 2026

Waveguide-array optical neural network on thin-film lithium niobate platform

Photonic parallel computing inspires important approaches to artificial intelligence, promising substantial gains in processing speed, energy efficiency, and latency. Nevertheless, the integration density and robustness of most optical computing architectures continue to pose significant challenges. Here, we report a w...

Jiacheng Sun, Jian Li, Tao Li · 0 citations
#edge computing Oct 2026

Lightweight Neural Network Technology for Edge Computing

With the increase in computational requirements for deep learning, it has become difficult for these models to be applied to the development of edge devices in the Internet of Things; thus, lightweight networking technology has been one of the main research directions recently. This paper will present an organised list...

Ang Su · 0 citations
#edge computing Oct 2026

Progress of Artificial Olfactory Systems in Computing Architectures: From Von Neumann to Neuromorphic Computing

ABSTRACT Artificial olfactory systems (AOS) are emerging as a pivotal technology for intelligent odor detection, drawing inspiration from the remarkable sensitivity and adaptability of the biological olfactory system. This review provides a comprehensive summary of recent advances in AOS, from traditional designs based...

Lijiang Zhao, Zhen Yuan, Yu Guo et al. · 0 citations
#edge computing Book Oct 2026

Explainable AI in Emerging Cybersecurity Domains

Artificial Intelligence (AI) has become essential in cybersecurity systems, enabling threat detection, malware analysis, intrusion detection, phishing identification, and automated incident response. However, AI-driven models operate as black-box systems, limiting transparency, interpretability, accountability, and tru...

Subuhi Kashif Ansari, Yasir Ahmad, Nithinshah Shajahan et al. · 0 citations
#edge computing Oct 2026

High-fidelity spatiotemporal feature extraction for heterogeneous DAS signals

Disturbance event recognition in Distributed Acoustic Sensing (DAS) systems faces significant multi-scale heterogeneous challenges. Traditional fixed-length sliding windows often lead to morphological truncation or high data redundancy, severely destroying macroscopic topological semantics. This paper proposes a high-f...

Chencheng Feng, Zhengyang Liu, Xiangqian Liu · 0 citations
#edge computing Open access Oct 2026

Trade-Off Analysis of YOLO Architectures for Embedded UAV-Based Transmission Line Inspection

Abstract This paper presents a comprehensive evaluation of YOLO-based architectures for automated transmission tower inspection using UAV imagery under edge computing constraints. The study investigates the performance of different model variants in a resource-constrained embedded environment, focusing on the trade-off...

Gabriel Jose Scheid, Ronnier Frates Rohrich, André Schneider de Oliveira · 0 citations
#edge computing Open access Oct 2026

طائرة درون ذكية موجهة

أولاً: الوصف المُموّه باللغة العربية (العنوان والملخص) عنوان البحث المقترح: نظام روبوت جوي ذكي متعدد المراوح فائق السرعة مزود باستشعار بيئي شامل وواجهة تحكم تفاعلية متقدمة للعمليات اللوجستية والإنقاذ السريع الملخص المُموّه: يتناول هذا البحث تصميم وتطوير نظام روبوت جوي غير مأهول (UAV) ذكي وهجين، يعتمد على منظومة دفع كهر...

Abuelgasim abayzeed elsmaney ahmed Ahmed · 0 citations
#edge computing Book Oct 2026

Heterogeneous Integration of Flexible Electronics and Edge Artificial Intelligence in Smart E-Textiles for Next-Generation Wearable Intelligence

Smart electronic textiles (e-textiles) are changing the nature of wearable technology, which involves integration of sensors, computing, communication and intelligence into conventional textiles. Wearable systems combining flexible electronics and edge Artificial Intelligence (Edge AI) will provide real-time data acqui...

Vijay Prakash Sharma, Nikhil Kumar Goyal · 0 citations
#edge computing Open access Oct 2026

What Does a Nonlinear Fokker–Planck Equation Buy a Mean Field Game?

Mean field games almost always pair the agents' Hamilton-Jacobi-Bellman equation with a Fokker-Planck equation that is linear in the density: the agents' noises are independent and they interact only through their costs, so they never touch. This discussion paper asks what a game gains when the forward equation is nonl...

T. Zamrik · 0 citations
#edge computing Open access Oct 2026

Development of an open-access interactive tool for multi-index agricultural and environmental analysis using Landsat and Sentinel-2 on Google Earth Engine

Abstract Accurate and timely monitoring of vegetation health, soil conditions, surface water dynamics, and agricultural drought is essential for sustainable land management and food security. However, access to satellite based analytical tools remains constrained by technical barriers, including programming requirement...

Almustafa Abd Elkader Ayek, Norah Alshahrani, Mena Elassal et al. · 0 citations
#edge computing Open access Oct 2026

The Substrate Condensate: Formation, the Dark Gauge Gap, and Time Activation

One object does three things. This note derives the substrate condensate of Spectral Quantum Gravity from a single, explicitly fixed energy functional and follows the same condensate through two of its consequences. What is confirmed.By consistency: one condensate carries the dark energy, the gauge gap and the phase cl...

Karol Frank · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

Microsoft Research Blog Oct 15, 2026

Proof-based general-purpose computing with Magnetar

Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.

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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