AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,492 papers
Low-light object detection remains challenging because insufficient illumination, weak local contrast, noise, color distortion, and blurred object boundaries can degrade the visual information required by object detectors. Although image enhancement is commonly applied before detection, a visually brighter image does n...
Paper I of the Guarino Infrastructure Dependency Metric (GIDM). First revision, 20 September 2026. DOI 10.5281/zenodo.22864280. Infrastructure fails in chains. The February 2021 freeze in Texas began at frozen wellheads, ran through load-shed gas processing plants, took 61,800 MW of generation offline, and ended in boi...
Este artigo analisa a influência da Internet das Coisas (IoT) na geração de Big Data e discute como a transformação desses dados em informação pode apoiar a tomadade decisões empresariais. O estudo adota abordagem qualitativa, exploratóriodescritiva e de natureza bibliográfica, estruturada como revisão narrativa da lit...
This Special Issue explores advances in symmetry and asymmetry in fuzzy control and their roles in smart engineering systems. The articles present new theories and methods, including hybrid schemes, optimization, computational intelligence, machine learning, embedded computing, and digital tools for uncertainty quantif...
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A preregistration, deposited before any confirmatory production run under the protocol it specifies, for an information-theoretic analysis of per-history fluctuations in Monte Carlo water radiolysis (OpenTOPAS / TOPAS-nBio, Geant4-DNA IRT chemistry). The data matrix has one row per particle history and one column per c...
The Configurable Bottleneck: A Cost-Constrained Capability Map for a Deterministic Edge Decision Token Randolph James Ferlic, M.D. and Kimberly Kate Ferlic (Fieldstone Analytics, LLC, Austin, TX, USA) Preprint · Zenodo DOI: 10.5281/zenodo.22884023 · CC-BY 4.0 · Community: spiral-domain-encoder-campaign Abstract A froze...
This study proposes a real-time semantic segmentation algorithm based on an improved YOLOv8 network architecture, aiming to address the balance between inference time and pixel-level classification accuracy in edge perception computing for autonomous driving. By integrating a channel attention module into the backbone...
The rapid evolution of sophisticated cyber threats has drastically increased the cybersecurity risks in Industrial Internet of Things environments due to the massive interconnection of industrial devices, sensors, programmable logic controllers, gateways, and edge computing infrastructures. Traditional intrusion detect...
Addressing the engineering challenges of high physical node density, strong aggregation of electrical fault characteristics, and low efficiency of traditional non-networked manual inspection in modern Industrial Internet of Things (IIoT) and smart buildings, this paper proposes and implements a highly efficient automat...
The cross-modal similarity calculation between large-scale visual features and text dictionaries in the Open-Vocabulary Object Detection (OVOD) inference stage exerts a significant degree of memory access pressure and computational overhead, which consequently becomes a primary bottleneck that limits the real-time perf...
A transição do monitoramento de ativos e da manutenção preditiva para dispositivos de borda (Edge Computing) enfrenta um severo gargalo tecnológico: o processamento matemático intensivo em microcontroladores de baixo custo. Este artigo técnico apresenta uma proposta inédita de arquitetura de software não-bloqueante par...
A Fourteen-Cycle Construction Mapping English to Prime-Addressed Integer Space, with Betti-Number Invariants of the Language Manifold Formally Proved in Lean 4. What if a word were not a vector of learned weights, but an exact address in the integers — and what if the shape of a language could be measured, counted, and...
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.
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