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This paper investigates the challenges and proposes a novel approach to distributed edge computing resource scheduling and optimization. The core claim is to design an efficient algorithm that dynamically allocates resources based on task requirements and edge computing node capabilities, ultimately enhancing computati...
This paper investigates the application of a novel non-Euclidean metric for computing statistical inference in complex networks. Current approaches often treat networks as static, limiting their ability to effectively analyze dynamic patterns and relationships. We propose a geometry-based metric to generate a dynamic r...
For much of the history of computing, the material boundary of a computational system could be represented with relative simplicity: processors, memory, storage, and software execution were located within machines whose participation in the system was architecturally specified in advance. Distributed computing complica...
This tutorial presents a step-by-step calculation of the Curvature Polarization Transport Gravity (CPTG) galaxy-limit equation using three worked rotation-curve examples: DDO-154, NGC-3198, and NGC-7814. Starting from SPARC-style rotation-curve inputs, the calculation converts the observed radius and velocity columns i...
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This paper proposes a novel approach to real-time visual processing leveraging the principles of neuromorphic computing. The core aim is to design and implement a system capable of efficient image recognition and processing with reduced power consumption. The methodology centers on mimicking the biological visual syste...
Construction management and safety (CMS) research increasingly depends on sensor networks, AI models, and autonomous systems, but discipline-specific cyberinfrastructure training remains scarce. ConstructionCI targets four gap areas identified for the CMS domain: Internet of Things (IoT) and sensing, Artificial Intelli...
Construction management and safety (CMS) research increasingly depends on sensor networks, AI models, and autonomous systems, but discipline-specific cyberinfrastructure training remains scarce. ConstructionCI targets four gap areas identified for the CMS domain: Internet of Things (IoT) and sensing, Artificial Intelli...
【Python】 # Copyright © 2026 Fairy Monk. All Rights Reserved. Licensed under CC BY-NC-ND 4.0 International. # Resolution of the finite-density sign problem via pure algebraic variety collapse. Complex weight fluctuations are neutralized through 5th-order matrix sign reduction, converting exponential lattice complexity...
A searchable, cross-referenced Unicode corpus of the official Sixth Buddhist Council (Chaṭṭha Saṅgāyana) recension of the Pāḷi Tipiṭaka with its Aṭṭhakathā (commentaries) and Ṭīkā (subcommentaries) — 118 volumes, 89,512 paragraphs — converted from the legacy VZTimes-font edition published by the Ministry of Religious A...
Federated learning (FL) offers a promising approach to training machine learning models on decentralized data sources, primarily located at edge devices. However, the inherent distributed nature of FL introduces significant challenges, particularly regarding privacy vulnerabilities and substantial communication overhea...
Human Activity Recognition (HAR) systems deployed on wearable and edge devices continuously collect sensitive user data, raising critical privacy concerns and communication bottlenecks. While Federated Learning (FL) mitigates these issues by decentralizing model training and keeping raw data on-device, deploying highly...
Federated learning (FL) offers a promising approach to training machine learning models on decentralized data sources, primarily located at edge devices. However, the inherent distributed nature of FL introduces significant challenges, particularly regarding privacy vulnerabilities and substantial communication overhea...
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
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For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
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.
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