Reproducibility package accompanying the manuscript “Testing scalar–tensor dark energy with gravitational-wave propagation: reconstruction and calibration limits,” by Nikhil Goenka. This record contains the scientific software, synthetic inputs, and numerical results supporting the manuscript. The study examines when e...
Nikhil Goenka· Zenodo (CERN European Organi...· 0 citations
ABSTRACT Artificial intelligence (AI) has been progressively incorporated into clinical laboratories as a tool to support data processing, result interpretation, and diagnostic decision-making. However, the use of complex models has raised concerns regarding transparency, interpretability, and the ability to supervise...
M. V. F. Blacio, Noemí Elizabeth Aroca Rivera, Jeniffer Paola Tonato Alava et al.· VitalyScience Revista Cientí...· 0 citations
Description The preceding papers in this series argued that explainability cannot ground accountability in probabilistic AI systems, that hallucination is the expected epistemic consequence of forced answer generation, and that accountable AI therefore requires a formal system language of non-decision, decision boundar...
Thomas Gessler· Zenodo (CERN European Organi...· 0 citations
Integrating artificial intelligence (AI) into financial institutions requires more than deploying technical solutions. It requires data management capabilities (DMCs) aligned with regulatory constraints and strategic priorities. This clinical study investigates how a German bank evolved from fragmented, Excel-based pro...
N. Baum, Lea Mueller-Fortmann, Alexander Benlian· European Journal of Informat...· 0 citations
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The emergence of Knowledge 5.0 represents a fundamental shift in how organizations combine Artificial Intelligence (AI) and human expertise in Strategic Decision-Making. Rooted in Industry 5.0, Knowledge 5.0 emphasizes human-centric collaboration, collective intelligence, and the co-creation of strategic knowledge thro...
Scientific knowledge is mostly stored in static papers. An automated framework called Paper2Agent can now transform each paper into an active artificial intelligence agent — a virtual corresponding author that answers questions, applies the paper’s methods to new data, and collaborates with other paper agents. This mak...
A Guide to the Logic Series Papers This guide organizes the logic series papers into four parts by time and theme: the discovery process (before 9/1) → after the three dimensions were determined → the theoretical cornerstones → applications. I. Pre-9/1 Versions — The Discovery Process, as Recorded Positioning: These re...
kaifa chen· Zenodo (CERN European Organi...· 0 citations
BLOCK VECTOR Research Map The BLOCK VECTOR Research Map is a visual guide to the Stable Authority Boundary (SAB), its formalization, core principles, applications, and related research. The collection examines a common systems problem: a machine, AI agent, autonomous system, or distributed system may remain technically...
David Forbes· Zenodo (CERN European Organi...· 0 citations
Understanding the long-term drivers of settlement location requires disentangling ecological constraints from historically contingent choices. Here I apply a Random Forest machine-learning framework, coupled with explainable AI techniques, to investigate settlement dynamics in Latium vetus (central Italy) from the Earl...
Description The preceding papers in this series argued that explainability cannot ground accountability in probabilistic AI systems, that hallucination is the expected epistemic consequence of forced answer generation, and that accountable AI therefore requires a formal system language of non-decision, decision boundar...
Thomas Gessler· Zenodo (CERN European Organi...· 0 citations
This dataset accompanies a mixed-methods pilot study of an eight-week intervention (22 October – 17 December 2025). In the intervention, 54 university EFL students in China used freely available large language model chatbots for low-stakes speaking practice. The chatbots used were DeepSeek, Doubao, ChatGPT, Kimi Chat a...
Anonymous· Zenodo (CERN European Organi...· 0 citations
The protocol emphasizes several key components, including the preparation of standardized healthcare datasets, the development of stable machine learning models, the evaluation of predictive performance, the generation of clinically relevant explanations, and the statistical assessment of reproducibility across repeate...
Sital Dash, Kailas Patil· Journal of Visualized Experi...· 0 citations
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
