AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,639 papers
This paper presents a representation-aware framework for geometry-based screening of hull-form producibility at early design stages. The proposed signature combines dimensionless total and signed developability deviation with curvature-class area fractions, distributed fields, metric-specific validity, and representati...
Despite widespread adoption of building information modelling (BIM), the architecture, engineering and construction (AEC) industry continues to report suboptimal implementation outcomes due to misaligned people, process and technology (PPT) factors. While sociotechnical systems theory posits these elements interact...
The Gravitational Reference Advanced Technology Test In Space (GRATTIS) mission will demonstrate the functionality and sensitivity performance of the Simplified Gravitational Reference Sensor (S-GRS), an ultra-precise inertial sensor for future Earth geodesy missions. These sensors are used to measure or compensate for...
Background The Managing Epilepsy Well Network (MEWN) epilepsy self-management (ESM) training programs assist people with epilepsy (PWE) in improving their ESM and co-morbidities. The online bilingual Management Information & Decision Support Epilepsy Tool (MINDSET) was enhanced to provide recommendations for these prog...
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Introduction The current study aims to provide a reference and methodological evidence-based tool with particular criteria for identifying artistically gifted students at the intermediate and secondary levels in the Kingdom of Saudi Arabia. Methods To achieve the study goals, a modified Delphi design was used, which co...
Oral frailty is a common subtype of frailty that is closely related to sarcopenia, malnutrition, disability, etc. However, it is often overlooked in maintenance hemodialysis (MHD) patients. Currently, research on oral frailty in MHD patients is still limited. This study aims to develop a nomogram to estimate the probab...
These are the first procedures using moderated t-statistics that control the false discovery rate (FDR) in finite samples under independence across units and null group invariance, without assuming limma's hierarchical model.
Next generation radio astronomy telescopes are challenging existing data reduction paradigms. With ever more antennas, larger bandwidths, and sometimes multiple primary beams, they often generate more observed data products than can readily be stored long-term. Thus, data storage becomes a major cost driver and process...
Agent-E2MD is introduced, a knowledge-guided agentic workflow that translates user-specified interatomic models into executable LAMMPS pair styles and demonstrates that the software architecture for an interatomic potential can be inferred from its physical and mathematical structure.
A reconstruction-stable authorization (ReSA) is formulated over representation transitions, sink dependencies, consumed versions, and grant scope and implemented in APAS-Finder and freeze predictions before an independent sink oracle observes execution.
Circulating tumor DNA (ctDNA) has emerged as a promising noninvasive biomarker in solid tumors, yet its prognostic value following neoadjuvant therapy (NAT) warrants systematic validation. This study systematically searched databases such as PubMed, Embase, and the Cochrane Library, with a search period ra...
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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