edge computing

Adaptive Inference Telemetry: A Cascaded Edge-to-Cloud Dynamic Routing Architecture for Constrained Industrial IoT Telemetry

Modern Industrial Internet of Things (IIoT) edge deployments face a fundamental operational trade-off: localized execution on micro-edge architectures is restricted by hardware compute and memory bounds, whereas continuous cloud telemetry offloading incurs prohibitive API token expenditures, network transmission latenc...

Engineering Neuromorphic Computing Systems for Brain-Inspired Processing

Neuromorphic computing is a computer-system design approach inspired by the structure and information-processing principles of biological neural systems. Unlike conventional von Neumann architectures, neuromorphic systems integrate computation and memory more closely and exploit event-driven communication, sparse activ...

Numerical Admissibility and Regularization of Shear-Suppression Closures for Reduced Tokamak Transport

Version 4. Adds a screening-level plant power balance (net electric power from assumed thermal, heating and overhead efficiencies, with a Sobol study of the assumptions) and a relative cost proxy, as post-processing of the existing results (code/plant.py). Under the central assumptions the reference device at 40 MW hea...

Multi-Latency Multi-Agent Task Offloading Strategy for Smart Education Platforms Based on Edge Computing

LAB #3897 NEUTRAL: TG AUTO: New edge proposed: opening_range_breakout_with_volume_weighted_average_price_reversion — E8 Intelligence Research

IDEA: AUTO-FORWARDED from the Telegram/breakthrough stream (#1179940, division=research, agent=gtx_scout): { "name": "opening_range_breakout_with_volume_weighted_average_price_reversion", "source": "Trading literature: VWAP reversion strategies (e.g., 'VWAP Trading' by Brian Shannon) combined with opening range breakou...

Photonic convolution neural networks for machine learning via energy-free Fourier-optics

Convolutional operations are computationally intensive in artificial intelligence (AI) services, and their overhead in electronic hardware limits machine learning scaling. Here, we introduce a photonic joint transform correlator (pJTC) using a near-energy-free on-chip Fourier transformation to accelerate convolution op...

Photonic Extreme Learning Machine‐Based Neural Cryptosystem for Error‐Free Secure Data Delivery

ABSTRACT Conventional optical cryptosystems rely on computationally heavy, detached deep‐learning black boxes and visual metrics, fundamentally hindering precise information delivery and exposing latent vulnerabilities. To overcome this, we propose a hardware‐algorithm isomorphic photonic neural cryptosystem tailored f...

EdgeFEViT-Pro: A computationally efficient hybrid vision transformer for non-destructive citrus storage-stage classification using X-ray CT images

Numerical admissibility and regularization of shear-suppression closures for reduced tokamak transport: model, solvers, tests, figures and manuscript

Version 1.2.0. Adds a screening-level plant power balance (net electric power from assumed thermal, heating and overhead efficiencies, with a Sobol study of the assumptions) and a relative cost proxy, as post-processing of the existing results (code/plant.py). Under the central assumptions the reference device at 40 MW...

New edge proposed: opening_range_breakout_with_volume_weighted_average_price_reversion — E8 Intelligence Research

{ "name": "opening_range_breakout_with_volume_weighted_average_price_reversion", "source": "Trading literature: VWAP reversion strategies (e.g., 'VWAP Trading' by Brian Shannon) combined with opening range breakout (ORB) concepts", "type": "entry_engine", "rule": "Enter long when the 5-minute bar open occurs above the...

paulguckian7/Paper-4B-Defensive-Tempo-Estate-Structure-and-Collapse: Paper 4B Time and Adaptation on the frozen CEMT substrate

<!--StartFragment--> Time and Adaptation on the frozen CEMT substrate. PhDPaper4B v0.22 Simulation code for Paper 4B, "Defensive Tempo, Estate Structure and Collapse: Cyber-Risk Propagation on a Frozen Substrate" (CEMT programme). This release is the single-file, reproducible simulator behind every table in Paper 4B. I...

Conductor Aging Monitoring and Intelligent Analysis Strategies for Power Grid Status Visualization

INTRODUCTION: Continuous sensing, unified analysis, and spatial representation of conductor aging remain challenging in power-line monitoring involving computer vision, edge computing, and digital twins. OBJECTIVES: This study develops a cloud-edge collaborative framework for power-grid status visualization to improve...