AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,653 papers
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...
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...
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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...
El Protocolo de Mitigación de Degradación Sintética (PMDS), desarrollado por A.T. Corporación Editorial, es una arquitectura de gobierno in situ en el borde (Edge Computing) diseñada para mitigar la deriva semántica, contener la entropía probabilística y eliminar alucinaciones en modelos de lenguaje de gran escala (LLM...
Wireless edge networks must support delay-sensitive services under fluctuating traffic, interference, heterogeneous SLA priorities, and limited radio, computing, and memory resources. This paper proposes Serverless-PRONTO, an SLA-aware orchestration framework that jointly controls serverless function placement, task of...
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.
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.
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