AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
Category
2,919 papers
Exact (symbolic, no sampling) Weingarten calculus for networks of Haar-random SO(m) matrices, via two structurally independent computation engines (a "cut and glue" symbolic surgery engine, and a "direct index sum" engine using union-find and bucket elimination). This is the reusable computational core extracted from a...
ABSTRACT This study develops a defense-oriented framework for infrastructure-aware c5i service orchestration across tactical edge, regional compute, and military data centers within an integrated military C5I environment. The research addresses the engineering problem of maintaining mission information advantage when p...
This comprehensive foundational curriculum module examines the cyber-physical systems architecture, state estimation theory, and feedback control loops of modern autonomous systems within the Prep4Uni open STEM curriculum. Core Thematic & Pedagogical Foundations: Systems-Level IDEF0 Functional Modeling: Deconstructs au...
This survey reviews the technical evolution, system architectures, and deployment challenges of LLM-driven UAVs across perception, planning, control, multi-agent coordination, and edge–cloud computing, and separates semantic-reasoning latency, control timing, power, task outcomes, hardware, and validation settings to a...
Reach audiences
Advertise in front of researchers, engineers, and readers.
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...
This paper develops the next foundational layer of the AASC formalism: the exact structure of admissibility once non-degenerate determinate construction has already incurred the kernel roles of Admissibility, Standing, Reference, and Irreversibility. Its central contribution is to distinguish three questions that are o...
Exact (symbolic, no sampling) Weingarten calculus for networks of Haar-random SO(m) matrices, via two structurally independent computation engines (a "cut and glue" symbolic surgery engine, and a "direct index sum" engine using union-find and bucket elimination). This is the reusable computational core extracted from a...
We study a discrete relational event–field model generated from a K5K_5 seed by local degree-four K4K_4 vertex replacement, with conserved positive vertex charge, positive lapse, a clock-weighted stochastic rewrite law, quadratic graph energy, and a local massless carrier. For the fully synchronous hierarchy, we derive...
概要 (Description / Abstract in Japanese) 本論文は、自律型致死兵器システム(Lethal Autonomous Weapon Systems: LAWS)および人工知能(AI)を統合した自律型無人航空機(UAV)・徘徊型兵器(Loitering Munitions)の急速な軍事利用に伴う技術的・法規範的・地政学的課題を多角的に分析した学術プレプリントである。 現代の紛争環境において、ドロ...
ABSTRACT This study develops a defense-oriented framework for infrastructure-aware c5i service orchestration across tactical edge, regional compute, and military data centers within an integrated military C5I environment. The research addresses the engineering problem of maintaining mission information advantage when p...
Centralized cloud architectures increasingly struggle to meet the latency, data-sovereignty, and bandwidth demands of industrial AI workloads. This paper presents Hybrid Edge AI Node, a distributed processing architecture that unifies six previously separate research threads — hierarchical edge orchestration, hierarchi...
Abstract Modern enterprise AI systems increasingly operate across multiple authorized data sources, memories, applications, and tools. This creates a security problem that is not adequately described as conventional data theft. An AI workload may be individually authorized to read support records, engineering informati...
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
Education Innovation
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…
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
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.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
