QuantNature Technical White Paper (Document ID: QN-UARI-2026-V2.0) Title Universal Acoustic Resonance Imaging (UARI v2.0): Real-Time Multi-Target Soliton Discrimination and In-Situ Near-Field Ego-Noise Nulling across Sub-Wavelength Arrays Author: QuantNature Global (https://www.quantnature.com)Release Date: September 9...
QuantNature Global· Zenodo (CERN European Organi...· 0 citations
The sudden structural transformations experienced by cognitive systems duringevolution are difficult to characterise with traditional continuous dynamics frameworks. This paper constructs a mathematical framework that maps cognitive statespaces to sequences of filtered simplicial complexes, and employs persistent homol...
changzheng zhou, ziqing zhou· Zenodo (CERN European Organi...· 0 citations
The quantification of causal emergence faces a fundamental difficulty: how canmacroscopic causal power be identified in microscopic dynamics without falling intoa circular reliance on a presupposed coarse-graining strategy? In this paper, theconstraint network of a cognitive system is modelled as a simplicial complex,...
changzheng zhou, ziqing zhou· Zenodo (CERN European Organi...· 0 citations
QuantNature Technical White Paper (Document ID: QN-UARI-2026-V2.0) Title Universal Acoustic Resonance Imaging (UARI v2.0): Real-Time Multi-Target Soliton Discrimination and In-Situ Near-Field Ego-Noise Nulling across Sub-Wavelength Arrays Author: QuantNature Global (https://www.quantnature.com)Release Date: September 9...
QuantNature Global· Zenodo (CERN European Organi...· 0 citations
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We present a discrete theory of gravity whose microscopic primitive is a conserved ledger whose dynamical step is a single one-coordinate, one-bit posting, and we prove exactly where such a theory must import geometry and how much of general relativity it recovers once it does. Three unconditional theorems carry the ne...
Washburn· Zenodo (CERN European Organi...· 0 citations
A near-universal test of independence: the three-pole calibrated envelope, its joint null law, and dependent-null higher-criticism attainment William J. Dwyer, MD, MPH, FAAP — Department of Mathematics and Statistics, University of Massachusetts Lowell. ORCID 0009-0004-0855-7222. Concept DOI (always resolves to the lat...
William Dwyer· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence (AI) models are a widespread tool employed across a broad range of applications, made possible by advanced architectures, learning algorithms and hardware. A growing consensus in the field holds that the development of highly efficient models can no longer be decoupled from the underlying hardwa...
This study is intended to serve as a structured reference for the development of scalable, trustworthy, and intelligent IoV systems by highlighting state-of-the-art techniques, open research gaps, and future directions.
Mohanad Alayedi, Ahmad M. Jaradat· Machine Learning and Knowled...· 0 citations
This work builds on Wang et al.'s taxonomy of Continuum Orchestration Systems employing DRL techniques and extends it with two further dimensions, measuring how LLMs are exploited and bridging the incommensurable per-tier signals and the LLM Orchestrator.
Antonino Vaccarella, Lan-Pei Li, Vincenzo Lomonaco et al.· 0 citations
The intersection of Big Data Analytics and Industrial Internet of Things (IIoT) introduces a transformative potential to improve operational efficiency, predictive maintenance, and decision-making in smart industrial systems. But such methods rarely deployed in practice, are not interoperable, and are not scalable. Thi...
C. Madana Kumar Reddy, Smita Gambhire, Manoj Kumar et al.· Advanced Transportation Syst...· 0 citations
Dense metric depth estimation from a single image is crucial for autonomous robotic navigation and spatial computing. However, recent foundation models increasingly rely on heavy vision transformers (>300 M parameters) and massive pre-training, making edge deployment on memory-constrained devices challenging. We presen...
Harryson Yumnam· Zenodo (CERN European Organi...· 0 citations
العنوان التقني للنظام: نظام أتمتة المراقبة والاستطلاع الميداني الموزع القائم على المعالجة اللامركزية والذكاء الاصطناعي التكيفي (Decentralized Autonomous Field Surveillance and Reconnaissance Automation System Based on Edge Processing and Adaptive Artificial Intelligence) 1. ملخص النظام (System Abstract): تتمثل البنية ا...
Abuelgasim abayzeed elsmaney ahmed Ahmed· 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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