openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24Cited by 0
Background. Publishing has settled on one answer to generative AI: an AI cannot be an author, and its use must be disclosed. Problem. Disclosure asks the wrong question. A statement that AI was used cannot be falsified in either direction, and a large recent study suggests it is…
immersive discovery of viability as a new direction in the development of intelligent scientific environments within the framework of Vitology. The proposed approach combines immersive technologies, artificial intelligence, digital twins, interactive simulation, multidimensional…
A companion study to a prior analysis of publisher generative-AI policies found that major publishers converge on reserving a set of functions for human authors: verification, evidential judgment, interpretation, final approval, responsibility for correction, and legal and ethica…
Abstract: This paper focuses on a self-sufficient UAV-supported monitoring system that can be used to improve smart campus security through real-time crowd analytics and anomaly detection. The system combines a quadrotor drone with a Pixhawk flight controller, a u-blox M10 GPS mo…
This paper reports a single-operator case study in directing several artificial-intelligence systems through a disciplined research and software-development process, and argues a narrow thesis: that the process—the documented, reproducible, accountable workflow—is a product in it…
Artificial intelligence has achieved remarkable success through optimization-based learning, probabilistic reasoning, deep neural networks, and increasingly complex computational architectures. Despite these advances, many autonomous robotic systems continue to rely on iterative…