This paper introduces the concept of Virtual Laboratories of Viability as a new generation of immersive scientific environments within the framework of Vitology. Building upon the concepts of the Space of Harmony and immersive visualization, virtual laboratories are proposed as integrated platforms for investigating the viability of systems of diverse nature through computational modeling, interactive experimentation, artificial intelligence, digital twins, and interdisciplinary collaboration. The article discusses the conceptual architecture of such laboratories, their role in exploring dynamic processes of viability, and their potential applications in scientific research, education, engineering, ecology, medicine, organizational management, and intelligent systems. It is argued that virtual laboratories can significantly expand the possibilities of interdisciplinary research by providing safe, scalable, and adaptive environments for studying viability under various conditions and development scenarios. Keywords Vitology; Virtual Laboratories of Viability; immersive technologies; Space of Harmony; viability; computational modeling; artificial intelligence; digital twins; interactive experimentation; interdisciplinary research; scientific visualization; intelligent systems.
This paper introduces the concept of Immersive Digital Twins of Viable Systems as a new stage in the development of intelligent scientific infrastructures within the framework of Vitology. The proposed approach integrates digital twins, immersive technologies, artificial intellig…
These are the data and results reported in the paper "A probabilistic digital twin framework for corrosion-fatigue prognosis of floating offshore wind turbines".
This repository contains the datasets and source code associated with Georgiev et al., Science Advances (2026). https://doi.org/10.1126/sciadv.aec5080 To get started with the software, visit our GitHub repository. The software provides both a graphical user interface (GUI) and a…
Self-supervised deep learning has emerged as a powerful method for image enhancement when a priori ground-truth references are not available. Stemming from Noise2Noise , it was shown that a convolutional neural network (CNN) can be trained from a noisy input and target pair of th…
Artificial intelligence (AI) has rapidly become a transformative force in health care, enhancing diagnostic accuracy, treatment planning, patient monitoring, and operational efficiency. This article explores advanced and emerging AI techniques-such as deep learning, reinforcement…