AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,622 papers
Goblin++ is an evidence-first scientific programming language built on Rust. It combines an approachable interpreter and optional native compilation with scientific data support, reproducible run artifacts, integrity verification, provenance and custody records, strict GO_PARANOID workflows, and a Visual Studio Code ex...
Nos cursos de graduação em tecnologia, a aprendizagem de algoritmos e programação representa um obstáculo significativo, demandando métodos de ensino que estimulem o engajamento contínuo dos estudantes. Diante desse cenário, Softwares Educacionais (SE) surgem como ferramentas estratégicas de apoio. Contudo, as platafor...
This software implements the framework presented in "Explaining Next-Activity Prediction with Activity-Level Shapley Attributions." It trains Transformer classifiers (BERT-base and RoBERTa-base) to predict the next activity of an ongoing case from its observed activity prefix and explains the predictions with SHAP at t...
This software package contains Python scripts for VelMap inversion, uncertainty propagation, smoothing and grid-resolution sensitivity tests, two-dimensional wavelet decomposition, earthquake declustering, strain-seismicity statistics, fault-profile analysis, and figure preparation. The package contains no station coor...
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Goblin++ is an evidence-first scientific programming language built on Rust. It combines an approachable interpreter and optional native compilation with scientific data support, reproducible run artifacts, integrity verification, provenance and custody records, strict GO_PARANOID workflows, and a Visual Studio Code ex...
This study develops and implements QUIDTECH-CAPE, a developmental research framework that integrates the ISO/IEC 25010 software quality model with the Technology Acceptance Model (TAM). Tested among 40 BSIT students and validated by 5 IT experts at Our Lady of the Sacred Heart College of Guimba, Inc., the framework est...
This work proposes a unified evolutionary framework — SUNF → FUNF — describing a possible temporal architecture in which environmentally mediated phenotypic accessibility may precede subsequent genetic and regulatory stabilization. The framework addresses how organisms can undergo rapid phenotypic transitions without i...
Processed research data, analysis outputs and code for the study “Central Asian aerosol size and vertical regimes track the seasons rather than monthly stability anomalies”. This is the data and code archive; the manuscript and Supplementary Information themselves are available through the journal. Version v10 (revised...
The present study investigated the impact of replacing gasoline with bioethanol on the high-cycle fatigue (HCF) life of an engine connecting rod. Finite element analysis (FEA) was performed using ANSYS software to determine the stress distribution. The nCode Design Life and the Goodman criterion were applied for HCF li...
The research resulted in Android-based educational game software that can serve as a supplementary learning tool, specifically for the Informatics subject, and developed and produced valid and practical educational game learning media.
Software does not eat; life does. A living system must pay continuously to remain itself; a program that stops has simply finished. Cost is the one property of aliveness that cannot be forged from the inside: occupied time and bytes written are visible to anyone. We turn it into a measurement standard for digital lifef...
Software and result data accompanying the study "A Fidelity-, Stability-, and Agreement-Aware Evaluation of Explainable Intrusion Detection for the Internet of Medical Things (CICIoMT2024)" by Hayder Mohsin Hammood Al-Darraji, Shahinda Mohamed Elkholy, and Haitham A. El-Ghareeb (Department of Information Systems, Facul...
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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