AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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3,051 papers
Kolmogorov-Arnold Networks (KANs) place learnable B-spline activations on network edges rather than fixed activations on nodes. The standard Cox-de Boor recursion evaluates these activations through $k$ sequential passes for degree-$k$ splines, consuming over 90% of forward-pass time. InKAN replaces this recursion with...
Superseded. This record is retired and should not be used or cited. It is replaced by 10.5281/zenodo.22234051, which is the archive accompanying the manuscript. Version v2.0.0 of this record (10.5281/zenodo.22232689) additionally contained files that should not have been distributed and its removal has been requested....
The increasing diffusion of intelligent devices at the network edge has led to a growing demand for efficient on-device inference, capable of overcoming the limitations of traditional cloud-centric computing paradigms. This work investigates the acceleration of decision tree–based inference on resource-constrained edge...
Analysis pipeline for a retrospective cohort study of cumulative intraoperative hypothermic burden, intraoperative red cell transfusion, and estimated blood loss in 2,567 adults undergoing non-cardiac surgery, using the open VitalDB perioperative database. Scripts run in numeric order: 01-14 reproduce the originally su...
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A utility maximization problem to jointly optimize UAV trajectory and task-offloading decisions in UAV-assisted MEC systems against multiple eavesdroppers is formulated and an enhanced twin-delayed deep deterministic policy gradient (TD3) framework integrating Hindsight Experience Replay (HER) and Prioritized Experienc...
Abstract Given the state of a subject and the state of the environment he is in, under what conditions does the question "what should be done next" have a determinate answer, and where does that answer lie. This paper gives a computable form and marks out its domain of definition. First, location on three axes. The sta...
العنوان التقني: منظومة المعالجة الطرفية البصرية والتوليد التفاعلي للأنماط الرسومية اللامركزية 1. النطاق التقني ومجال الاختراع (Technical Field): تتعلق المنظومة الحالية بأنظمة الحوسبة الطرفية المستقلة (Edge Computing Frameworks)، وتحديداً المعماريات المدمجة للذكاء الاصطناعي المحلي المخصص لتوليد، وتحليل، ومحاكاة البيانات...
With the digital transformation of the global economy and the rapid development of information technology, big data has become a key driving force in supply chain optimization. The introduction of big data technology provides new perspectives and solutions for traditional supply chain management, especially in improvin...
A graph representation-based protein sequence generation method that incorporates new noise addition and feature extraction methods, as well as a designed encoder-decoder called MixInfo, which generates sequences faster than other methods, and generates sequences closely resemble natural proteins, indicating the model’...
Fifth-Generation Mobile Networks (5G), as the most recent generation of networks, presentsdiverging requirements imposed by different vertical industries and mainly by Mobile NetworkOperator (MNO)s which aim to reduce both Capital Expenditures (CAPEX) and OperationalExpenditures (OPEX) using novel technologies based on...
An empirical study of two production edge platforms using latency-sensitive cryptocurrency analytics workloads, conducted from a local Southeast-Asian client and three supplemental AWS cloud clients, reveals that platform-level latency advantages are dominated by client-edge proximity rather than systemic runtime diffe...
Civil security and law enforcement agencies regularly manage field deployments at scales exceeding tens of thousands of uniformed personnel. In conventional field operations, duty scheduling and redeployment remain heavily manual; static paper rosters are drafted days in advance and patched reactively across ad-hoc voi...
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.
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
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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.
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