AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,947 papers
The study evaluated the implementation of Entrepreneurship Education programme in the Universities of Jos and Calabar, Nigeria. The study adopted survey research design where questionnaires were administered to the respondents to elicit information on the existing variables in the study area. The data obtained was a...
The findings indicate that the system can organize product information and support more consistent catalog administration, but the current evidence does not establish complete transaction processing, automatic inventory reconciliation, payment handling, security robustness, usability across users, or long term operatio...
This study introduces a novel and highly applicable torque tracking algorithm as a controller to develop a realistic steering feel in a front steer-by-wire (SbW) architecture. The objective of this study was to propose a self-tuning PI-based controller using a gain scheduling method to mimic the torque generated by a r...
This paper presents the design of SecureXon, a modular, full-stack security reconnaissance and threat-intelligence platform built around a Python/Flask backend that consolidates fifteen asynchronous reconnaissance modules with a large-language-model-driven Security Operations Center (SOC) assistant for false-positive v...
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A four-level autonomy taxonomy for AI-driven testing is introduced and the architectural, operational, and governance conditions required for future Agentic TestOps systems are outlined, understood as goal-driven and self-adaptive testing systems operating across delivery pipelines.
The aim of this study was to assess the feasibility of undertaking a swimming protocol suitable for generating estimates from a novel physiological performance analysis software (INSCYD) in a club environment, while also evaluating its reliability. Eleven highly-trained swimmers (16.7 ± 0.9 years, 176.3 ± 5.3 cm, 70....
Improving the uptake of CCS services requires a multifactorial approach, including taking into account obstacles linked to health facilities, and will involve improving attendance at health facilities through information, education and communication strategies aimed at women and health workers to contribute to maternal...
Implementation of an Android-based badminton court booking application using Flutter at UMKM GOR Tambora Jakarta Barat produced positive operational impacts, including faster reservations, easier access to schedule information, more organized data management, and better documentation of payment processes.
Analysis of genetic variability and structure among watersheds in Aspidosperma quebracho-blanco reveals that genetic variability is spatially structured at the regional scale.
The impact of AI on modern web development is explored, including AI-assisted coding, intelligent design systems, automated testing, AI chatbots, and future trends such as autonomous AI development agents.
Hot pepper (Capsicum annuum L.) is a critical component of Ethiopian cuisine, widely consumed in both its green and red stages. Despite its importance, the productivity of hot pepper in the Amhara region remains suboptimal, primarily due to degraded soil fertility and the depletion of soil organic matter. To address th...
LLMSec-AV introduces an AV-specific, machine-readable vulnerability taxonomy for weakness discovery and shows that LLMs can complement conventional analyzers by identifying and organizing safety-relevant findings in real AV software.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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.
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.
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