The paper surveys the growing integration of Generative Artificial Intelligence (GenAI) with the Internet of Things (IoT), noting its potential to reshape sectors such as Healthcare, Manufacturing, and Smart Cities. It highlights that most current studies focus on narrow applications, underscoring the need for a broader analysis of GenAI‑IoT synergy. The authors conduct a systematic literature review using PRISMA, present a comparison framework, and outline research questions to guide future exploration of GenAI in IoT computing.
arXiv:2607. 04219v1 Announce Type: new Abstract: The integration of AI into Internet of Things (AIoT) systems has gradually transformed them from passive data collection infrastructures into intelligent systems capable of anomaly detection, predictive maintenance, classification, forecasting, and optimization.
The paper introduces a unified analytical framework that combines Explainable Artificial Intelligence (XAI) and Neuro‑Symbolic Artificial Intelligence (NSAI) for trustworthy anomaly detection in Internet of Things (IoT) systems. It outlines five complementary dimensions to evaluate existing methods, identify gaps, and guide the design of new detection systems. The authors demonstrate the framework’s usefulness by applying it to three studies and a medical IoT anomaly detection case.
arXiv:2606. 01015v1 Announce Type: cross Abstract: The convergence of Artificial Intelligence, the Internet of Things, and Robotics is no longer a futuristic vision; it is rapidly becoming the foundation of real-time, intelligent, and context-aware systems.
arXiv:2506. 03168v2 Announce Type: replace-cross Abstract: Amid the challenges posed by global population growth and climate change, traditional agricultural Internet of Things (IoT) systems is currently undergoing a significant digital transformation to facilitate efficient big data processing.
arXiv:2505. 23939v2 Announce Type: replace Abstract: This paper presents an automatic method for the design of Neural Networks (NNs) at the edge, enabling Machine Learning (ML) access even in privacy-sensitive Internet of Things (IoT) applications.
arXiv:2607. 12662v1 Announce Type: new Abstract: The paper introduces the Internet of Agentic Things (IoAT), an architectural framework that integrates agentic AI, IoT, cyber-physical systems, Physical AI, edge computing, and digital twins into a unified closed-loop orchestration framework.
The paper introduces the Internet of Agentic Things (IoAT), an architectural framework that integrates agentic AI, IoT, cyber-physical systems, Physical AI, edge computing, and digital twins into a unified closed-loop orchestration framework. The proposed architecture consists of cloud, edge/fog, and physical IoT layers connected through autonomous AI agents that perceive, reason, coordinate, and actuate across distributed cyber-physical environments.
arXiv:2604. 25018v2 Announce Type: replace-cross Abstract: The Internet of Everything (IoE) represents an evolution of the Internet of Things (IoT) by integrating people, data, processes, and things into a unified intelligent ecosystem.
The paper introduces a constrained Bayesian Optimization framework to efficiently configure Hierarchical Federated Learning (HFL) for plant disease classification in IoT networks. It jointly optimizes the deep learning backbone, aggregation strategy, and communication rounds while respecting energy, execution time, and accuracy constraints. Experiments on an IoT-based plant disease task show the method explores only 11.11% of the search space yet finds solutions within 1% of exhaustive search, achieving a mean optimality gap of 0.056%.
arXiv:2505.08854v2 Announce Type: replace Abstract: Generative Artificial Intelligence (GenAI) constitutes a transformative technological wave that reconfigures industries through its unparalleled ca...
Genmab embraces ChatGPT Enterprise, supported by OpenAI’s commitment to security and privacy
arXiv:2607. 09183v1 Announce Type: cross Abstract: The groundbreaking development of generative artificial intelligence (AI) is rapidly boosting the ability to generate content such as images and videos, reshaping communication paradigms.