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edge computing

2,462 papers

#edge computing Open access Sep 2026

ttttwwww/FNL-demo: v1.0.0 - Compact temporal-coding neurons for fast and energy-efficient edge computing

This release contains the source code used to produce the results reported in "Compact temporal-coding neurons for fast and energy-efficient edge computing". Please refer to the README for installation instructions, dependencies, and commands for reproducing the results. Full Changelog: https://github.com/ttttwwww/FNL-...

唐崴 · 0 citations
#edge computing Open access Sep 2026

Necessary Physical Conditions for Primary Interoceptive Sentience: A Lakatosian Research Programme on Continuous Neuromorphic Substrates

This is the extended, definitive version (v16.2) of the P0_Distilled research programme, with full technical appendices — it supplements the distilled entry-point paper (P0_Distilled_v0.1) with the complete Lakatosian structure, derivations, and experimental protocol. The programme's hard core is a single metaphysical...

Francesco Iavarone · 0 citations
#edge computing Open access Sep 2026

《Quantum Environmental & Planetary Intelligence at the Limit: Water, Climate, Subsurface Systems, Pollution, Hazards, and Distributed Earth Sensing》 is a flagship-scale research volume exploring how quantum sensing, artificial intelligence, distributed observation, physical simulation, and planetary digital twins may expand civilization's ability to perceive, understand, and care for its own world.

《Quantum Environmental & Planetary Intelligence at the Limit: Water, Climate, Subsurface Systems, Pollution, Hazards, and Distributed Earth Sensing》 is a flagship-scale research volume exploring how quantum sensing, artificial intelligence, distributed observation, physical simulation, and planetary digital twins may...

33 · 0 citations
#edge computing Open access Sep 2026

Pattern-guided thermal buckling and shrinkage simulation for yarn-level woven cloth

Abstract Woven cloth exhibits complex deformation behavior due to yarn-level interlacing structures, directional tension transfer, and the thermal response of fiber materials. In particular, when localized heat is applied, cloth does not simply shrink uniformly over its surface; instead, it forms pattern-dependent shri...

Jong‐Hyun Kim · 0 citations
#edge computing Sep 2026

Transparent Optoelectronic Synaptic Transistors for Solar‐Blind Neuromorphic Perception and Autonomous Monitoring

ABSTRACT Developing high‐performance optoelectronic neuromorphic hardware with specificity to the deep ultraviolet solar‐blind spectrum, combined with transparency, multi‐state capability, and persistent photoconductivity, is critical for solar‐blind neuromorphic perception and autonomous monitoring. Here, we report a...

Hansen Zeng, Nianzi Sui, Shuangshuang Shao et al. · 0 citations
#edge computing Open access Sep 2026

The Guarino Infrastructure Dependency Metric, Paper IV. Winter Storm Elliott: Does the Buffer Group Travel?

Papers I to III of this series built the buffer group ΠB = Ta/Tx for the edge between two infrastructure nodes, tested it plant by plant on the February 2021 Texas chain, and priced its hours with a cost group ΠC = ca/(vCd), all on one event. This paper reads a second. Winter Storm Elliott, 22 to 26 December 2022, ran...

Brian Guarino · 0 citations
#edge computing Open access Sep 2026

E8‑Phi Causal Tensor Network for Quantifying Conscious Integration — E8 Intelligence Research

We introduce the E8‑Phi Causal Tensor Network (EPC‑TN), which assigns each of the 240 E8 root vectors to a distinct causal edge in a brain‑wide tensor graph. By phi‑modulating a 132 Hz standing wave and coupling it to neuronal microtubule helices, the network self‑organizes into 120 paired harmonic eigenstates that cor...

Andrew Stewart Caldin · 0 citations
#edge computing Review Sep 2026

Next-Generation Microgrids: Control, Intelligence and Resilience

The research examines the applications of sophisticated technologies like machine learning, blockchain, reinforcement learning, neural networks, edge computing, and the Internet of Things for solving challenges related to the scalability of MG systems.

K. Sathasivam · 0 citations
#edge computing Open access Sep 2026

《Quantum Environmental & Planetary Intelligence at the Limit: Water, Climate, Subsurface Systems, Pollution, Hazards, and Distributed Earth Sensing》 is a flagship-scale research volume exploring how quantum sensing, artificial intelligence, distributed observation, physical simulation, and planetary digital twins may expand civilization's ability to perceive, understand, and care for its own world.

《Quantum Environmental & Planetary Intelligence at the Limit: Water, Climate, Subsurface Systems, Pollution, Hazards, and Distributed Earth Sensing》 is a flagship-scale research volume exploring how quantum sensing, artificial intelligence, distributed observation, physical simulation, and planetary digital twins may...

33 · 0 citations
#edge computing Open access Sep 2026

Personalized Privacy-Aware MARL Offloading in the Edge-Cloud Continuum

Task offloading in End–Edge–Cloud computing enables resource-constrained User Devices (UDs) to execute computation-intensive applications with reduced latency and energy consumption. However, existing task offloading schemes generally overlook the heterogeneous privacy requirements of users, leading to inefficient priv...

Muhammad Rafid, Golshan Famitafreshi, Kostas Ramantas et al. · 0 citations
#edge computing Open access Sep 2026

Personalized Privacy-Aware MARL Offloading in the Edge-Cloud Continuum

Task offloading in End–Edge–Cloud computing enables resource-constrained User Devices (UDs) to execute computation-intensive applications with reduced latency and energy consumption. However, existing task offloading schemes generally overlook the heterogeneous privacy requirements of users, leading to inefficient priv...

Muhammad Rafid, Golshan Famitafreshi, Kostas Ramantas et al. · 0 citations
#edge computing Open access Sep 2026

Computable Mechanics

The Cohesion UFT has a property that follows from its construction rather than fromany decision about presentation: it executes. Its constants are derived in closed formfrom a single axiom with no fitted parameters, its causal order is fixed, its vocabularyis finite and every term has a mechanical referent, and the sam...

Dexter Gilbert · 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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