AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,577 papers
🌲 DendroGeo v3.0.0 — Küresel Ağaç Envanteri ve Karbon Veri Sistemi Açık kaynak web CBS + PWA · dendrogeo.org · github.com/snansrin/dendrogeo · Lisans: CC BY-NC 4.0 DendroGeo; sahada GPS ile toplanan ağaç ölçümlerini allometrik biyokütle ve karbon hesaplarına, park kimliği bazlı toplulaştırmalara ve 10 m çözünürlüklü a...
Version 0.3.0 research software preview. This version restructures the numerical engine into layered modules (bit-identical results, about 2–3× faster), makes every output bit-identical on Linux and Windows with Node.js 24 through platform-independent powers, fixes 73 defects confirmed by an independent audit, locates...
After 536 commits, I am incredibly proud to announce the first stable release of MOP Simulator V3.7! 🚀 This release evolves the project from a standalone native binary into a full-stack autonomous AI research platform. It tightly couples a high-performance C++23 terminal ballistics simulation engine with a Node.js/Exp...
lctriage (released as "Atlas Robuste" in version 1.0) is a reproducible pipeline for extracting features from photometric time series, ranking targets by atypicality, and measuring whether that ranking can be trusted. This version accompanies the paper Persistence, Not Consensus: Measured Triage of Unsupervised Anomaly...
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This Zenodo record contains the processed data and trained models supporting the manuscript “Machine Learning Reconstruction of Glider Dissolved Oxygen: Accuracy Across Missions, Depths, and Years.” The files support the model evaluations, dissolved oxygen reconstructions, interannual analyses, and numerical results re...
Replication package associated with the scientific article: "Anticipatory Test Oracles for Prompt Prioritization in LLM Toxicity Testing", submitted for possible publication to the 49th International Conference on Software Engineering (ICSE 2027). The package contains the implementation of Anticipatory Toxicity Oracles...
This release synchronizes the Americas Great Resorts canonical reference repository through September 24, 2026. Key updates: Expands the repository to 170 Markdown files and 157 content records. Adds the corpus twin for "AI Visibility Is Becoming Software. The Harder Problem Is Knowledge Formation." Adds and updates KF...
This dataset and code package accompanies the study of foundation machine-learning interatomic potentials (MLIPs) for vacancy-anchored hydrogen migration in pyrite, marcasite, mackinawite and greigite. Foundation MLIPs offer inexpensive migration-barrier calculations, but their reliability for hydrogen defects in magne...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22955348. Reviewers: Diptarup Mallick, Hala Taha Elbashir, Lukman Boyi Adamu,Prerna Mehta, Shubham Kalamkar, Joseph Odunayo Igbokwe, Egide KAYIRANGA, Deepak Vitthal Sawant, Suhagiya...
This work presents a deployed vision–language decision-support platform for tomato harvest that connects image capture, identity verification, ripeness grading, harvest guidance, yield estimation, damage assessment, weather-conditioned loss projection, multilingual reporting, and persistent provenance within a single a...
This work presents a deployed vision–language decision-support platform for tomato harvest that connects image capture, identity verification, ripeness grading, harvest guidance, yield estimation, damage assessment, weather-conditioned loss projection, multilingual reporting, and persistent provenance within a single a...
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
GPT-Lab
· gpt-lab.eu
Sep 23, 2026
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
GPT-Lab
· gpt-lab.eu
Sep 17, 2026
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
We’re launching agentic video understanding across our latest Gemini models for improved accuracy and lower costs and token usage.
In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.
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