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...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Indoor air pollution drives a substantial share of respiratory, allergic and thermal-comfort morbidity in residential buildings, yet continuous multi-hazard monitoring remains rare in low-cost Internet-of-Things deployments, which typically report a single composite pollution index and ignore the multidimensional natur...
Azaz Ahmed Lipu· Zenodo (CERN European Organi...· 0 citations
This Zenodo archive deposits the foundational research white paper series for the **IronClad AI Agent**, a Rust-native autonomous agent orchestration runtime engineered specifically for local Large Language Models (LLMs) executing under strict consumer hardware constraints (8–24 GB VRAM, finite 8K–32K context windows,...
Wael Sahli· Zenodo (CERN European Organi...· 0 citations
DECISION: REJECT ELEMENT: No element survives — the ACCUMULATION-phase filter is a regime proxy, not an E8-geometry timing edge. It does not align with the Gods-Clock rhythm logic or FADE polarity mechanics; it is a macro overlay that would distort the model's core timing signal. EXPECTED IMPACT: Win-rate improvement i...
Andrew Stewart Caldin· Zenodo (CERN European Organi...· 0 citations
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Indoor air pollution drives a substantial share of respiratory, allergic and thermal-comfort morbidity in residential buildings, yet continuous multi-hazard monitoring remains rare in low-cost Internet-of-Things deployments, which typically report a single composite pollution index and ignore the multidimensional natur...
Azaz Ahmed Lipu· Zenodo (CERN European Organi...· 0 citations
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...
Joaquim Santos Albino· Zenodo (CERN European Organi...· 0 citations
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...
Carter L Glass· Zenodo (CERN European Organi...· 0 citations
DECISION: REJECT ELEMENT: No element survives — the ACCUMULATION-phase filter is a regime proxy, not an E8-geometry timing edge. It does not align with the Gods-Clock rhythm logic or FADE polarity mechanics; it is a macro overlay that would distort the model's core timing signal. EXPECTED IMPACT: Win-rate improvement i...
Andrew Stewart Caldin· Zenodo (CERN European Organi...· 0 citations
Modern connectivity is supplied by a portfolio of technologies rather than by a single dominant network. Ethernet and passive optical networks provide stable high-capacity infrastructure; Wi-Fi supplies flexible local access; cellular systems add managed mobility and wide-area coverage; low-power wide-area networks sup...
This paper introduces a novel quantum state computation model based on graph structures, leveraging the inherent properties of quantum states to enable adaptive computation. Traditional quantum computing approaches often struggle with complex quantum states, presenting a significant challenge for efficient computation....
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Two structural results on the possibility of a genuinely noncommutative arithmetic thermodynamics. First, a universal no-go, the abelian scaling bottleneck: for a right LCM semigroup with scalar one-parameter dynamics driven by a multiplicative weight N, every KMS state is tracial on the gauge-fixed algebra, the classi...
Ruqing Chen· Zenodo (CERN European Organi...· 0 citations
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.
MIT News · Artificial Intelligence· news.mit.eduOct 28, 2026
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
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.
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