AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,462 papers
Version 0.4.0 -- Batch primitives, tubes, line layers and text labels BRK: clip planes are now defined in world space by default. In 0.3.4 and earlier the normal and offset were interpreted in eye (camera) space, so the cut travelled with the camera and had to be re-tuned for every viewpoint. For the old behaviour, pas...
This is the extended, definitive version (v16.2) of the P0_Distilled research programme, with full technical appendices — it supplements the distilled entry-point paper (P0_Distilled_v0.1) with the complete Lakatosian structure, derivations, and experimental protocol. The programme's hard core is a single metaphysical...
Abstract A large body of research has recently focused on minimizing task latency in mobile edge computing (MEC). Researchers in the field have typically posed the minimization exercise as a non-convex optimization problem and solved it either mathematically or metaheuristically, overlooking the fact that neither provi...
This is a major release with many bugfixes, several of which silently returned incorrect results. We strongly recommend all users upgrade. It also brings new features, large speed improvements, and new minimum versions for Python and all dependencies. Bugfixes — incorrect results mixed_anova: the Greenhouse-Geisser cor...
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This dataset contains the corpus spreadsheet (163 papers), the rating evidence trail (156 entries), and the completed PRISMA 2020 checklist for the systematic survey "Simulation Tools for Resource Scheduling in Fog and Edge Computing: A Survey on Machine Learning Integration," submitted to Discover Artificial Intellige...
WHAT THIS IS. The complete run records behind "The Steward's Paradox" (SagaBench AB, 2026 — published, not peer-reviewed): 2,415 Season-1 runs (23 models × 7 situations × 15 replicates) and 960 preregistered Wave-5 runs (71 situations classified before any model ran, two deployed cheap-tier models). One JSON per run wi...
A focused review of recent advancements in vision-based concrete crack detection and measurement is presented, synthesizing findings from 27 representative and influential studies selected through an expert-driven, non-exhaustive screening process rather than a fully systematic protocol.
This paper develops a finite, independently reproducible Lorentzian Regge–holonomy correspondence on an oriented four-dimensional 1-to-5 simplicial star. Starting from signed squared-edge data, local Lorentzian simplex frames are reconstructed and adjacent simplices are connected by proper, orthochronous Lorentz transf...
EN 1992-4 verifies concrete edge failure of a multi-row anchor group loaded in shear towards a free edge by assuming that only the row closest to the edge is effective and that it carries the whole shear load. The consequence is paradoxical: the verified resistance does not grow when rows are added behind the front row...
The objective is to decide what to share under a single hard ego-side communication budget, and the allocator reaches 97% of full-fusion accuracy at lower energy than the baseline in all 243 parameterisations tested, and in 240 of 243 on total energy, where the helpers' compute dominates.
Version 0.4.0 -- Batch primitives, tubes, line layers and text labels BRK: clip planes are now defined in world space by default. In 0.3.4 and earlier the normal and offset were interpreted in eye (camera) space, so the cut travelled with the camera and had to be re-tuned for every viewpoint. For the old behaviour, pas...
This version corrects two citation errors found by an automated check and confirmed by hand. In the Selection Process, HANDOFF was cited as arXiv:2606.06491 (TempoVLA) and now cites arXiv:2606.06493, and RoboNaldo was cited as arXiv:2606.11091 (QUIET, a network-neuroscience paper) and now cites arXiv:2606.11092. A refe...
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.
Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.
Announcing Gemini 4 Argon, our frontier model for real-world coding, enterprise knowledge work and cyber defense, rolling out soon.
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