AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,576 papers
Author: IPTV2Live Streaming Engineering Team | Canonical Reference: IPTV2Live Disclosure: This technical/educational article may include reference or contextual links. We only recommend verified services and tools tested for reliability. If you have ever opened a playlist at 21:00 on a match night only to watch your pl...
QDL Research Suite QDL Research Suite is a free, open-source Python package that brings together tested computational and reproducibility tools from the Quantum Diverter Loop (QDL) research program. It is designed to help researchers verify, reproduce, inspect, and reuse advanced mathematical, statistical, and computat...
A free, portable, offline Windows application that calculates length/height-for-age, weight-for-age, and BMI-for-age z-scores (standard deviation scores, SDS) and percentiles for children and adolescents from a CSV file. No installation is required: download and extract AnthroZ_Calculator_v6.0_Windows_App.zip, keep its...
Exact, reproducible software for deterministic lexicographic flow allocation on lossy, capacitated rooted trees, and for the inverse rehabilitation-design problem posed on the same model. The allocation module implements the three-stage lexicographic model of the AppliedMath article Three-Stage Lexicographic Allocation...
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Corrective evidence for Training adequacy and evaluation populations in remaining useful life benchmarks: 96 primary fits, two numerical-scale diagnostics and nine additional budget checks. All original prediction prefixes were reproduced exactly and every extended fit stopped by validation patience before the threefol...
This dataset supports the structure-guided analysis of the MFN2 C-terminal modulator surface in the review "Conformational allocation of mitofusin 2 in neuronal mitochondrial dynamics: mechanisms and therapeutic targeting". It contains receptor and ligand coordinates, docking configurations, raw poses and logs, solvent...
A Shiny-based decision-support tool for non-genetics nephrology clinicians navigating NHS genomic testing pathways for suspected inherited renal disease. Covers eligibility scoring across 12 NHS genomic testing panels, a Bayesian diagnostic model spanning 24 gene-level conditions, and a variant interpretation module (1...
Repository Description This repository contains all data, computational outputs, and analysis scripts used for the ExFiT study: Ensemble-based Excited-State Character Fingerprinting across Temperatures. It provides equilibrium geometries, finite-temperature Wigner ensembles, quantum-chemical outputs, excited-state desc...
This version (2026-09-26) corrects a citation error found by an automated check and confirmed by hand against the arXiv abstracts. Version 2 cited the identifier 2607.07314, an unrelated federated-learning paper posted after this synthesis was drafted, for the quantum software debugging paper that notes quantum bugs "o...
Version 3 (2026-09-26) corrects a citation error in versions 1 and 2 and a false correction added in version 2, found by an independent audit and confirmed by re-checking every cited arXiv abstract. The inference-system fingerprinting findings, one of the four topics named in the title, were cited to arXiv:2605.29960;...
Description Model outputs required to run the test suite of the pyTMD tide prediction software. Disclaimer All models are owned and maintained by their developers. pyTMD is only licensed to use these models for scientific use and is not responsible for their upkeep. Please cite the original reference for each model if...
Evaluation frameworks turn model outputs into the scores that benchmarks, leaderboards and deployment decisions rely on, and the scoring code itself also requires direct checks. We test four evaluation frameworks (DeepEval, TruLens, lighteval and HELM) and one metrics library (TorchMetrics) with three checks: does a sc...
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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