AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,643 papers
This repository contains the code, experiment workflows, and collected test data for reproducing safety attack experiments on isolated Binance Smart Chain (BSC) test networks. The artifact covers four experiment families: a warm-up attack, a committee divergence attack, parameter-adjustment experiments, and a geo-distr...
Importing a STEP file into a parametric CAD system yields a single frozen solid: the design history is gone, and no pad depth or hole diameter can be edited. Recovering that history is a well-studied problem — the acceptance criterion used here was stated as a definition by Gupta and Nau in 1995, and commercial impleme...
In an ever-evolving, high-demand, and resource-constrained healthcare environment, it is imperative that healthcare administrators and policy makers understand both theoretically and practically the influence of organizational practices on employees’ behaviour. This study, drawing on Resource-Based View (RBV), AMO-Fram...
Final data and study-trained models supporting Diagnosing reference support and selection failures in enzyme annotation, version 2.6.0. The archive includes historical candidate-support and restoration results, sequence-separated evaluation, paired CLEAN comparisons, query/component diagnoses, saved scores and final fi...
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This record contains the data, code, trained model artifacts, and evaluation outputs supporting the manuscript “Event-based Rainfall–Runoff Modeling with Hydrology-Aware Temporal Convolutional Networks: A Single-Basin Case Study.” The study evaluates an event-based hydrology-aware Temporal Convolutional Network (TCN) u...
Benchmark software, a preregistered protocol, completed five-model primary artifacts, controls, a StarCoder2 stopping-rule ablation, and a technical report testing whether the HumanEval ranking in Qwen2.5-Coder Table 5 survives local deployment.
0.14.0 — checkpoints, witness cosignatures, split-view and freshness (2026-09-19) Two limits declared in the README since 2026-08-17 — split-view / equivocation and rollback / freshness were "future work" — are now measured features, built with the transparency ecosystem's own formats so that the ecosystem's own softwa...
Versioned software and reproducibility materials for fail-closed regional eQTL–GWAS integration. Version 0.2.0 includes synthetic verification, locked protocols, tests, aggregate audit outputs, a multi-signal robustness experiment, LD-GuardNet signed-LD graph anomaly triage with model checkpoints, and a frozen multi-ti...
Abstract Purpose Covariate adjustment is a powerful statistical technique that can increase efficiency in clinical trials. Recent guidance from the U.S. Food and Drug Association (FDA) provided recommendations and best practices for using covariate adjustment. However, there has existed a gap between the extensive stat...
This study analyzes the publicly disclosable requirements, prior work and evaluation plan for the functional composition B-Core = A-Core + Purple Box / Present. A-Core is a general cognitive and execution system that may also use memory, recurrence and parallel processing. Purple Box / Present is the undisclosed, histo...
ENGINE v1.3.6 - JOSS Ready Release This release finalizes the JOSS-compatible paper and corrects all YAML/Markdown validation errors that blocked automated PDF build. Paper fixes: Fix paper.md YAML frontmatter: corrected affiliations: indentation (was nested inside authors: causing expected '-' indicator at line 8) Cor...
Background. Whether a cell's molecular state before a perturbation predicts what happens to it afterwards is usually asked retrospectively, after outcome and state have been measured in the same cells. We ask it prospectively at clone level, in one BRAF-V600E melanoma cell line (WM989, GSE279162), in which a barcoded p...
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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