AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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3,268 papers
RaftShift is an experimental advisory controller for planned Raft leadership transfer. It compares forecast cumulative benefit with a component-based activation allowance, then invokes native transfer and voting. This technical report consolidates implementation, cloud, formal-model, and later measurement evidence whil...
This record provides the frozen PG-APMoNet v1.0 model and supporting materials for the manuscript “PG-APMoNet v1.0: a physics-guided differentiable forward model for active–passive microwave observations of the ocean–atmosphere system”. The release consists of two archives: 1. PG_APMoNet_v1.0_model.zip contains the mod...
OCOM, the Object-Centric Operating Model, is an open, technology-independent specification that describes an organization as a system of governed objects carrying identity, ownership, lifecycle and evidence. Everything else an organization produces about itself, dashboards, documents, knowledge graphs, search indexes a...
CCR 1.8.0 adds an explicit verified_growth_v1 policy while preserving the legacy v1 optimizer, signatures, admission, approval and lease boundaries. Replayable service/cost accounting, delayed reuse, immutable assets, receiver transfer qualification, and lifecycle invalidation/revalidation. Exact bounded dependency-bun...
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GitHub-Zenodo software record (repository snapshot) accompanying the paper of the same name (Journal of Computational Physics, 2026). Contents: source code for the heteroscedastic U-Net (training, evaluation, TorchScript export), the OpenFOAM custom solver amrPimpleFoam with the in-plane refinement library hexRef4, sim...
TrialMatchAI 0.9.0 establishes a tested CLI and package-delivery foundation, with integrity and recovery fixes from the codebase and Copilot reviews. Try it Use Python 3.11 in an activated virtual environment: python -m pip install trialmatchai==0.9.0 trialmatchai demo --workdir ./demo-workspace trialmatchai demo --wor...
This data and code package accompanies the manuscript “Convergence or divergence? A three-layer quantitative synthesis tests a Scale–Spectrum–Stage framework of plant microbiome responses to stress,” by Lele Liu, Wenyi Sheng, Yuhui Wang, Huijia Song, Yaolin Guo, and Weihua Guo. It is organized into data/, scripts/, d_t...
A free, MIT-licensed low-code pattern for building enforceable quality records in small and mid-sized manufacturing. A small manufacturer supplying a regulated customer carries substantially the same documentation and traceability obligations as a large one, but dedicated quality-management platforms are priced for lar...
Reproducibility materials supporting the manuscript "When Data Substitution Changes the Scientific Question: Claim-Level Evidence Admissibility in Wildfire Robustness Analysis." This archive supports the claim-specific continuity test through the benchmark and release-contract registries, registered semantic coding, SO...
Reproducibility materials supporting the manuscript "When Data Substitution Changes the Scientific Question: Claim-Level Evidence Admissibility in Wildfire Robustness Analysis." This archive supports the claim-specific continuity test through the benchmark and release-contract registries, registered semantic coding, SO...
A free, MIT-licensed low-code pattern for building enforceable quality records in small and mid-sized manufacturing. A small manufacturer supplying a regulated customer carries substantially the same documentation and traceability obligations as a large one, but dedicated quality-management platforms are priced for lar...
CICIV, a causal inference framework that integrates PC-simple-based causal feature selection with conditional instrumental variable (CIV) representation learning, is proposed that prioritized 40 breast cancer-related candidate genes and identified signals that were not captured by conventional correlation-based analyse...
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
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.
A Blog post by IBM Granite on Hugging Face
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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