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edge computing

2,370 papers

#edge computing Open access Oct 2026

Unified Multimodal Semantic Compression Architecture for Low-Power Edge Deployment and more complex deployments.

AbstractThis specification establishes defensive prior art for a unified, open-source,multimodal data architecture designed to execute high-density interactive learningapplications entirely offline on resource-constrained handheld edge devices.Extending the Semantic VIN Framework (v3.0) and Sparse Semantic Dominance(SI...

John R. Smith, SHAI / HATI · 0 citations
#edge computing Open access Oct 2026

Enhanced human posture recognition using multi-stream deep CNN with blended ensemble classification

Abstract Human posture recognition has been an eye-catching research area for over a decade, being highly valuable for tasks such as sitting, standing, lying, and walking postures, especially in elderly care and public health monitoring. Whereas existing approaches like sensor-based, vision-based, and feature-based met...

Syed Farooq Ali, Afifa Hameed, Amer Hamza Aamir et al. · 0 citations
#edge computing Open access Oct 2026

Estudio descriptivo de Visión Artificial en Automatización Industrial: Técnicas de Inspección Visual y Control de Calidad

Introducción: La inspección visual manual en la manufactura contemporánea, presenta limitaciones estructurales de velocidad, consistencia y escalabilidad que comprometen la calidad industrial. Objetivo: Se emplea análisis y síntesis descriptivo del estado del arte de visión artificial aplicada a la automatización indus...

Víctor Manuel Flores-Andino, Juan José Pérez Insuasti · 0 citations
#edge computing Open access Oct 2026

The Topological Mechanics of Protein Recognition

This deposit contains the complete monograph, formal mathematical proofs, software implementations, and supplementary computational assets introducing The Topological Mechanics of Protein Recognition, an exact algebraic-topological and geometric framework for de novo therapeutic protein design. Heretofore, a central an...

Elias Oulad Brahim · 0 citations
#edge computing Open access Oct 2026

The Interior of a Reader - The Zero Set of an Invariant Price, Its Two Methods, and the Memory They Require

The Interior of a Reader The Zero Set of an Invariant Price, Its Two Methods, and the Memory They Require Driven by Dean A. Kulik October 2026 Abstract Paper IV of this series showed that an exact price on a token arena, if it respects a reader's symmetry, is the difference of a potential that is constant on the reader...

Dean Kulik · 0 citations
#edge computing Book Oct 2026

AI-Powered Mental Health Digital Twins

Mental health disorders rank among the most challenging issues for global health and are largely responsible for the following: their increased prevalence, limited availability of care, high levels of stigmatization, and lack of objective biomarkers for both diagnosis and treatment monitoring. Conventional psychiatric...

Iram Rafiq, Asima Majeed · 0 citations
#edge computing Open access Oct 2026

A 1-Byte Deterministic Acoustic Interface for Ultra-Low-Latency Edge Computing: Hardware-Native Phonetic Encoding via 2KB On-Chip L1 SRAM

Contemporary deep neural speech architectures rely heavily on extensive subword tokenizers (e.g., Byte-Pair Encoding) and multi-byte Unicode International Phonetic Alphabet (IPA) representations. These conventional pipelines impose substantial DRAM bus contention, multi-megabyte memory footprints, and non-deterministic...

Han-Sik Sim · 0 citations
#edge computing Open access Oct 2026

Does the Wiring Matter? Testing a Connectome-Extracted Escape Circuit Against Its Own Randomized Control

Connectomics datasets now provide synapse-resolution wiring diagrams for entire insect nervous systems, raisinga question that is easy to pose but rarely tested directly: does the specific wiring these datasets reveal confer afunctional advantage over a structurally-matched random control, when deployed as an actual re...

Aizaz Ullah Khan Niazi · 0 citations
#edge computing Book Oct 2026

Cyber Shields Using Artificial Intelligence

In an era where traditional firewalls and antivirus software no longer stand a chance against sophisticated cyberattacks, this book provides the essential roadmap you need to secure next-generation cloud, IoT, and decentralized systems against catastrophic data breaches and ransomware. Over the past few years, traditio...

Unknown authors · 0 citations
#edge computing Open access Oct 2026

Evidence in Networked Metaverse Systems: Comparability, Reproducibility, and Deployment

Metaverse research now spans immersive networking, edge computing, digital twins, semantic communication, artificial intelligence, security, interoperability, sustainability, and deployment. The field is technically rich, yet apparently similar results are frequently produced under incompatible workloads, hardware, net...

Md. Amir Khusru Akhtar · 0 citations
#edge computing Open access Oct 2026

A comparative analysis of edge and cloud computing architectures for rolling stock monitoring systems

This paper presents a quantitative comparison of Edge- and Cloud-oriented processing of technical-condition monitoring data for high-speed railway (HSR) rolling stock, based on a verified discrete-time digital twin of a train. Unlike approaches that treat Edge and Cloud as separate, independent configurations, the mode...

Микола Юрійович Кущ, Олег Олександрович Аббасов, Максим Володимирович Канєвський et al. · 0 citations
#edge computing Open access Oct 2026

The Interior of a Reader - The Zero Set of an Invariant Price, Its Two Methods, and the Memory They Require

The Interior of a Reader The Zero Set of an Invariant Price, Its Two Methods, and the Memory They Require Driven by Dean A. Kulik QuHarmonics Research Group · ORCID 0009-0003-3128-8828 Relation Layer, Paper V · October 2026 Abstract Paper IV of this series showed that an exact price on a token arena, if it respects a r...

Dean Kulik · 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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