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edge computing

2,705 papers

#edge computing Editorial Open access Oct 2026

What is neuromorphic about neuromorphic computing?

(2025). The hardware has kept pace with the literature. Examples include IBM's TrueNorth integrated a million digital spiking neurons on a single die Merolla et al. (2014); Intel's Loihi processors lie at the core of Hala Point, a system exceeding a billion neurons Davies et al. (2018); SpiNNaker and BrainScaleS have m...

Shantanu Chakrabartty, Chetan Singh Thakur, Andreas G. Andreou · 0 citations
#edge computing Open access Oct 2026

Monitorização Preditiva na Borda: Deteção de Falhas em Equipamentos Industriais

A arquitetura predominante da manutenção preditiva industrial baseia-se na análise de vibração inercial através de acelerômetros piezoelétricos de alto custo, atrelados a modelos de processamento espectral em nuvem (SaaS). Este artigo demonstra técnica e matematicamente a ineficiência deste modelo, provando que a vibra...

Reinaldo Silva · 0 citations
#edge computing Open access Oct 2026

Re‐Thinking Electronic Circuit Design Through Emerging Reconfigurable Field Effect Transistors

ABSTRACT Reconfigurable field‐effect transistors, short RFETs, are a unique class of emerging electronic devices that merge n ‐type, p ‐type, and ambipolar operation modes into a single element. Unlike conventional MOSFETs, the dominant carrier type in RFETs is purely defined by electrostatics and can be dynamically ch...

Jens Trommer, Juan P. Martinez, Yuxuan He et al. · 0 citations
#edge computing Open access Oct 2026

Title: The Metabolic Firewall: Simulation Suite and Theoretical Framework.

The Metabolic Firewall: Why Consciousness is a Compression Artifact, Not a Window to Reality Abstract: In contemporary cognitive science, phenomenal consciousness is predominantly modeled as a high-fidelity window reflecting external reality. This paper challenges the passive-window paradigm by introducing the Isolatio...

Ryan Mitchell · 0 citations
#edge computing Open access Oct 2026

A Deterministic Structural Refutation of the Unique Games Conjecture via Normalization and Linear Shift Register Matrix Sieve

This repository delivers a definitive structural refutation of the Unique Games Conjecture (UGC) by compiling its original node-edge permutation constraints into a rigid, discrete 1D binary register environment under the universal normalization framework of n = d = c = 1. For over two decades, academic computer science...

KIAN CHENG TAN · 0 citations
#edge computing Open access Oct 2026

Cross-state stability and maturational similarity of the social brain connectome in children and adolescents

The intra-individual stability of functional connectivity (FC) across two or more scans and the inter-individual similarity of FC patterns relative to peers capture developmental variability in functional brain organization. Despite their different referents, these measures are strongly coupled at the whole brain level...

Jacqueline Lee, Jeff Eilbott, Clare A. M. Kelly et al. · 0 citations
#edge computing Oct 2026

Secure offloading for UAV-aided MEC with BC-enabled NOMA in IoT networks

This paper embeds physical layer security (PLS) into a unmanned aerial vehicle (UAV)-assisted mobile-edge computing (MEC) architecture for Internet of Things (IoT), in which backscatter devices share the uplink through a nonorthogonal multiple access (NOMA) scheme. A server mounted on the UAV plays the role of an aeria...

Anh-Nhat Nguyen · 0 citations
#edge computing Oct 2026

Deterministic edge intelligence for low-latency robotic control

This paper presents a distributed Edge AI architecture for the real-time, contactless teleoperation of a 6-DOF robotic manipulator using natural hand gestures. In environments with strict sterility or safety requirements, such as cleanrooms or hazardous industrial zones, traditional physical interfaces are impractical....

Bauyrzhan Amirkhanov, Miras Tokhtassyn, Gulshat A. Amirkhanova · 0 citations
#edge computing Open access Oct 2026

Context-Aware Edge Computing for Service Response and Affective Interaction Design in Smart Home IoT Systems

Smart home Internet of Things (IoT) systems require service-response decisions that account for uncertainty, device availability, service risk, and edge latency rather than relying solely on activity recognition. To address this, we propose an edge-constrained context-aware service-response framework. It integrates act...

Xiang Li, Yue Wang, Yaxin Chen · 0 citations
#edge computing Open access Oct 2026

A Strain Compatibility Criterion for Three-Dimensional Chip Curling

The final geometry of a three-dimensional chip is commonly described by a combination of geometric parameters, including curl radius, pitch, and axis orientation. However, parameter combinations that are mathematically admissible do not necessarily correspond to material deformations that are kinematically realizable....

Xiaole Hao, Ruijie Lv, Xiuru Li et al. · 0 citations
#edge computing Open access Oct 2026

Design and Experimental Validation of an Embedded Edge Artificial Intelligence Camera System for Real-Time Intelligent Vision

This study presents the design and experimental validation of an embedded edge artificial intelligence (AI) camera system for intelligent vision applications. The developed system integrates a multicore edge computing processor and a dedicated AI engine into a compact smart camera platform, enabling on-device image pro...

Hsiu-Ying Hwang, Fu-Hsiang Huang · 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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