AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,622 papers
Replication package for "Selection information is not free: a preregistered study of small-language-modeldeployment decisions" (submitted to Information and Software Technology). The study asks whether charging deployment-selection policies for the information they buy changes which policylooks best. In ten environment...
Vibe coding has made a profound change in software creation visible: humans can increasingly express what they want in natural language while artificial intelligence systems generate, modify, test, and repair the code that realizes that intention. This paper argues that the deeper transition is not simply from manual c...
Malva Malva is an artifact for studying tool-mediated interaction failures in agentic GUI software. It contains a defect library built from 40 open-source applications, a task suite for reproducing representative failures, and MalvaGuard, a static checker that detects missing tool-interaction guards before agent execut...
Abstract. We develop and evaluate a method for learning solution operators to nonlinear problems governed by partial differential equations (PDEs). The approach is based on a finite element discretization and aims at representing the solution operator by a multilayer perceptron that takes problem data variables as inpu...
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Abstract Large Language Models (LLMs) have shown high capabilities in several software development-related tasks such as program repair, documentation, code refactoring, debugging, and testing. However, training these models requires massive amount of data and significant computational resources. Adapters are specializ...
A machine learning (ML) model using two preprocedural cardiac CT-derived metrics, automatically extractable with open-source tools, predicts 1-year mortality after TAVI.
The concept of comprehension debt is extended: the deferred learning and maintenance cost that arises when AI-assisted production outpaces a learner's or team's ability to explain, test, modify, and justify the resulting software.
Overview This release accelerates simulation of (especially) few-qubit Quregs, adds control and performance tuning utilities for MPI and GPU superusers, adds randomised Trotter simulation, and reduces the likelihood of QuEST symbols colliding with other software stacks. Optimisations QuEST's simulation of few-qubit Qur...
Objectives (1) To conduct a meta-analysis on the structure of the TPB extended model to examine the predictive effects of its components on physical activity participation among adolescents and college students; (2) To investigate the moderating effects of key research dimensions, including participant groups, cultural...
Research software and numerical source data accompanying the study "Vibroacoustic spectral-contrast encoding of sound direction in passive objects revealed by single-point laser Doppler vibrometry". Version 0.1.0 is a numerical and statistical reproduction package for seven figures. Computation begins at supplied per-t...
We describe the document-reading model behind Money Maxer, an agent finance team that closes a simulated month for a mid-market software company. The system's premise is that no agent is trusted: every journal entry is re-performed by a small deterministic kernel before it can post. Inside that design we ask how small,...
Wheezing in early childhood is a prevalent condition that represents a major health problem and frequently results in significant morbidity and healthcare resource utilisation. This study aimed to identify risk factors for wheezy chest in children aged ≤ 2 years and to compare the characteristics of first-time versus r...
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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