This note introduces the Ambient Field Enhancement Hypothesis (AFEH), a companion evaluation that addresses one item the Topography-Anchored Corona Discharge (TACD) model leaves open by design: TACD requires an ambient electric field above a site-dependent threshold to drive corona onset at a grounded point, but treats...
Aleuda Rodrigues Gonçalves· Zenodo (CERN European Organi...· 0 citations
The Reader in the Mirror Only Transformation: Memory as Stored Constraint, Reading That Cannot Fail, and a Field Read from Inside Driven by Dean A. Kulik October 2026 Abstract Only transformation exists. Memory is matter that keeps a constraint; logic is how a transformation finds its way through the constraints it mee...
Dean Kulik· Zenodo (CERN European Organi...· 0 citations
This white paper presents the complete technical specification, mathematical foundations, system architecture, and prior art disclosure for Intrinsic Mesh Swarm Computer-Aided Design (IMS-CAD)—a novel, deterministic, coordinate-passive CAD engine designed to replace continuous Non-Uniform Rational B-Splines (NURBS) and...
Jeff Maguire· Zenodo (CERN European Organi...· 0 citations
The increasing complexity of modern power distribution networks and the integration of renewable energy sources require intelligent and reliable fault management systems. This paper presents , a smart grid framework that integrates Artificial Intelligence (AI) and edge computing for real-time fault detection, predictio...
Mrs. Anusuya Patil, Baliger Shashidhara, Harisha K, Nithin Kumar G. M. Avinash Naik· International Journal of Adv...· 0 citations
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Probabilistic cloud state machine (PCSM) theory [1] formalises the classical control layer of quantum computation as a geometric model on the space of stable probability distributions. This paper reports the implementation path from that theory to a usable Python programming interface, together with hardware-validation...
kaifa chen· Zenodo (CERN European Organi...· 0 citations
This paper presents a comparative study of deep learning-based face recognition using Convolutional Neural Networks (CNNs) and traditional machine learning approaches. The proposed system is designed to improve facial recognition accuracy while supporting real-time applications. The study evaluates a CNN architecture a...
Rudra Akhauri· Zenodo (CERN European Organi...· 0 citations
ABSTRACT Graphical abstract summarising the DWEBC workflow: a WDN is converted to a weighted graph; EPANET hydraulic outputs and demand data are used to compute DWEBC; and high-ranking pipes support resilience screening, maintenance prioritisation, and digital-twin decision-making. Water distribution networks (WDNs) su...
Rodger Millar Munthali, Jinliang Gao, Wenyan Wu et al.· AQUA - Water Infrastructure...· 0 citations
Chronic diseases, including cardiovascular disease, diabetes, chronic respiratory disease, and cancer, remain major causes of morbidity and premature mortality worldwide.The increasing availability of Internet of Things (IoT) devices, wearable sensors, smart phones, and remote monitoring platforms provides an opportuni...
Mubarak Jibril Yeldu, Anas Muhammad Gulumbe· British Journal of Contempor...· 0 citations
Cloud Data Centres (CDCs) constitute the foundation of digital services, but they are also a major source of carbon emissions and energy demand worldwide. In order to achieve net-zero infrastructures, environmental sustainability, energy efficiency, and service quality, in terms of Service Level Agreements (SLAs), assu...
Muhammad Zakarya, Ayaz Ali Khan· Future Generation Computer S...· 0 citations
Cloud computing has become fundamental to modern digital services, with Public Key Infrastructure (PKI) serving as the primary mechanism for authentication, certificate management, and secure communication. However, conventional centralized PKI introduces challenges such as single points of failure, certificate revocat...
D. Dhinakaran, M. S. Jasmine, S. Gopalakrishnan et al.· Information Security Journal...· 0 citations
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…
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
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· microsoft.comOct 15, 2026
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.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026