AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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3,069 papers
An asynchronous framework named FedQS, which employs a multi-dimensional staleness evaluation mechanism that dynamically assesses updates by combining the similarity between local and global models with client latency metrics, and implements a decoupling solution via a queue scheduling algorithm to resolve the coupling...
João Carlos Amaro Ferreira (ISCTE-IUL, 16/07/2021), showcasing the research group's work in IoT, edge/fog computing, and data science. The group has expertise in edge/fog architectures (open-source and commercial platforms), IoT communications (short and long range, lightweight protocols such as MQTT/CoAP, V2X), and di...
João Carlos Amaro Ferreira (ISCTE-IUL, 16/07/2021), showcasing the research group's work in IoT, edge/fog computing, and data science. The group has expertise in edge/fog architectures (open-source and commercial platforms), IoT communications (short and long range, lightweight protocols such as MQTT/CoAP, V2X), and di...
LibXSub introduces an explainable subgraph generation mechanism that identifies critical call relationships through edge masks and characterizes the contribution of different function feature dimensions to region similarity prediction through node feature masks, demonstrating the effectiveness of the proposed framework...
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This paper presents a deployment-oriented survey of MTD for 5G, with special emphasis on learning-assisted designs that optimize what to mutate, when to mutate, and how to enforce mutation under slice-isolation, URLLC, and orchestration constraints.
ABSTRACT: Industrial and urban wastewater pollution constitutes a critical environmental challenge in Vietnam, where only approximately 12.5% of municipal wastewater currently undergoes adequate treatment before discharge. This paper proposes the Smart Wastewater Monitoring and Treatment (SWMT) framework, a five-layer...
Under the 132 Hz driving tone, the 240 E8 root vectors exhibit a phi‑symmetric eigenvalue flow that simultaneously creates two interlocking sets of topological edge modes on the {5,3,4} hyperbolic lattice. These edge modes lock into a hierarchical cascade where each level amplifies the next by the golden ratio, effecti...
This thesis presents a novel, cost-effective, and non-invasive approach to next-generation head imaging systems for telemedicine applications. Current imaging technologies—such as CT scans, MRI, EEG, and X-rays—face significant challenges including high cost, invasive procedures, bulky equipment, radiation exposure, an...
ZenFlex and Mtwo were the most effective in preserving dentin, supporting the concept of minimally invasive endodontics, and ZenFlex and E-FLEX EDGE demonstrated favorable shaping performance, with ZenFlex maintaining canal anatomy and E-FLEX EDGE exhibiting excellent centering ability.
ROTOR (Rotational Orientation Token Organization & Recall) is an attention-free, non-abelian geometric sequence architecture designed and invented by Prannessh K.V.A. ROTOR eliminates the quadratic O(N × M) compute and memory bottleneck of Transformer Cross-Attention by accumulating incoming context streams into indepe...
Since the establishment of von Neumann and Nash's concept of equilibrium, game theory has become a universal language in economics and social sciences. However, classical game theory is deeply rooted in the mechanistic worldview, and its deterministic assumptions, static equilibrium, and individualistic methodology are...
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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