AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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3,051 papers
“Technology is not a distant vision—it is the reality we are shaping today.” The Research Bulletin 2026 (Vol. 3, Issue 1) from the Department of Computer Application, Integral University presents the department’s dynamic engagement with cutting‑edge research and innovation through the work of its faculty members and re...
Let [Formula: see text] be a simple graph on [Formula: see text] vertices and [Formula: see text] denote the corresponding binomial edge ideal in [Formula: see text], where [Formula: see text] is a field. In this paper, we provide an upper bound for the regularity of binomial edge ideals of trees. Our approach leverage...
This treatise introduces a non-invasive, universal quantum-biological framework designed to reverse structural macromolecular mutations and pathogens across human, veterinary, and agronomic systems through the deployment of temporary, bioresorbable inorganic nanoprostheses. Traditional quantum biology remains bottlenec...
This treatise introduces a non-invasive, universal quantum-biological framework designed to reverse structural macromolecular mutations and pathogens across human, veterinary, and agronomic systems through the deployment of temporary, bioresorbable inorganic nanoprostheses. Traditional quantum biology remains bottlenec...
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Praktisch nutzbare Künstliche Intelligenz entstand aus dem Bündnis kluger Köpfe mit den rechentechnischen Fähigkeiten Boolescher Automaten – natürliche Intelligenz dagegen aus Selbstorganisation und Evolution. Dieser zweite Weg rückt mit dem neuromorphen Rechnen zunehmend wieder in das Blickfeld von Wissenschaft und Pr...
New in v2.5. At eight vertices three independent enumerations — the per-graph file published with arXiv:2605.12828, the 2012 Amselem–Danielsen–López-Tarrida–Portillo database, and this sweep — give the same 498 graphs, identical as graph6 strings, with zero disagreement on the independence number across all 11 117 grap...
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...
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.
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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