Category
2,572 papers
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...
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...
Reach audiences
Advertise in front of researchers, engineers, and readers.
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...
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...
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
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.
Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.
Announcing Gemini 4 Argon, our frontier model for real-world coding, enterprise knowledge work and cyber defense, rolling out soon.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
