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diffusion models

2,278 papers

#large language models Book Open access Sep 2026

Edge-Cloud Collaborative RAG with Multi-State Semantic Caching

A Multi-State Semantic Cache (MSSC) framework that dynamically maps knowledge chunks into three mutually exclusive states: zero cache, index cache, and full cache is proposed that reduces average service latency by over 40% in dynamic scenarios and suppresses backhaul reconfiguration traffic by up to 38% compared to co...

Kang Liu, Guang-Ping Xu, Ya-Ru Fu et al. · 0 citations
#diffusion models Open access Sep 2026

Renaissance: The Sovereign Physical Intelligence via Resonance Plexus Framework

Technical White Paper v1.5 | Document ID: QN-RP-2026-V1.5 Affiliation: QuantNature Global (https://www.quantnature.com)Release Date: September 11, 2026 Executive Summary This white paper presents the Resonance Plexus (RP v1.5), a novel non-symbolic physical intelligence framework designed to overcome the structural bri...

QuantNature Global · 0 citations
#artificial intelligence Open access Sep 2026

Agentic AI and the Dissolution of Managerial Authority: Organisational Sensegiving in Autonomous Decision-Making Systems

Agentic artificial intelligence (AI) is shifting from decision support to autonomous coordination, challenging established assumptions about managerial authority. This qualitative conceptual paper synthesises recent literature in algorithmic management, organisational theory, and human-computer interaction to examine h...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Sep 2026

Agentic AI and the Dissolution of Managerial Authority: Organisational Sensegiving in Autonomous Decision-Making Systems

Agentic artificial intelligence (AI) is shifting from decision support to autonomous coordination, challenging established assumptions about managerial authority. This qualitative conceptual paper synthesises recent literature in algorithmic management, organisational theory, and human-computer interaction to examine h...

Kwan Hong TAN · 0 citations
#diffusion models Open access Sep 2026

Chronic Disease Management Using Big Data and Predictive Models (Big Data & Predictive Analytics).

The findings suggest that synthetic augmentation, when integrated with real clinical data, can improve predictive discrimination, calibration, and robustness, however, the modest F1-scores indicate that further threshold optimisation and prospective external validation are required before clinical deployment.

Joseph Hegenbart · 0 citations
#diffusion models Open access Sep 2026

Effects of fuel-air unmixedness on flame stability and emissions in rapidly mixed hydrogen-enriched swirling flames

The transition to hydrogen-enriched combustion is fundamentally constrained by the challenge of simultaneously ensuring safety, flame stability, and low NO x emissions. This is because hydrogen’s high burning velocity increases flashback susceptibility, while its high reactivity and diffusivity make combustion more sen...

Yuanping Yang, Chenkun Bai, Jinyang Sun et al. · 0 citations
#diffusion models Open access Sep 2026

Review of the Porous-Fisher-KPP Equation: Mathematical Theory and Applications

The Porous-Fisher-Kolmogorov-Petrovsky-Piscounov (Porous-Fisher-KPP) equation is anonlinear degenerate parabolic equation that couples the porous medium equation withthe classical Fisher-KPP reaction-diffusion model. Because its diffusivity vanishes at zerodensity, it supports finite-speed propagation and sharp traveli...

Weiguang Huang · 0 citations
#diffusion models Dataset Open access Sep 2026

THE ECONOMICS OF ARTIFICIAL INTELLIGENCE: PRODUCTIVITY, LABOUR MARKETS, AND STRUCTURAL CHANGE

The rapid diffusion of generative artificial intelligence since 2022 has reignited long-standing debates in economics about the relationship between technological change, productivity growth, and labour-market outcomes. This article synthesises recent empirical and theoretical literature to assess how AI adoption is li...

Quchkarova Ruxshona · 0 citations
#diffusion models Open access Sep 2026

Substantive or strategic: R&D investment and green innovation in China higher education institutions

Research and development (R&D) investment strengthens universities’ research capacity by alleviating budget constraints and enabling sustained engagement in long-term projects. Using data from Chinese higher education institutions (HEIs), the study links province-level R&D investment to university-level gree...

Ze-Yu Zhang, Wen Li, Jing-Ping Li · 0 citations
#diffusion models Open access Sep 2026

Latent Resonance: Zero-Shot Autoencoder Inversion and Azimuthal Spectral Forensics for Diffusion Image Attribution

Modern latent diffusion models (LDMs) synthesizephotographic imagery with fidelity that evades human perceptionand frustrates conventional convolutional neural network classi-fiers. Existing forensic detectors rely predominantly on supervisedbinary classifiers that overfit to specific semantic domainsor depend on close...

Debdip Bandyopadhyay · 0 citations
#diffusion models Open access Sep 2026

Fractional-Order Advection–Diffusion Equations: A Critical Review of Physical Origins, Analytical and Numerical Methods, and Applications to 2026

The advection–diffusion equation is the canonical continuum description of transport, yet it fails for a broad class of systems in which particle motion is non-Fickian. Fractional-order advection–diffusion equations replace integer derivatives with operators of non-integer order and, in doing so, encode long-range spat...

Weiguang Huang · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

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 Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

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