The use of artificial intelligence has focused mainly on knowledge-driven industries so far. However, the true game-changer was the application in the core operational fields of business and engineering. Here, AI unlocks immense efficiency and synergy potential - up to and including the transformation of entire business and industry models. This volume highlights today's practical applications and future perspectives of AI in industrial technologies. It explores generative and emotional AI...

The rapid advances of artificial intelligence (AI) in recent years have led to numerous creative applications in science. Accelerating the productivity of science could be the most economically and socially valuable of all the uses of AI. Utilising AI to accelerate scientific productivity will support the ability of OECD countries to grow, innovate and meet global challenges, from climate change to new contagions.This publication is aimed at a broad readership, including policy mak...

Belonging to the realm of intelligent technologies, it is increasingly accepted that artificial intelligence (AI) has evolved from being merely a development standpoint in computer science. Indeed, recent reports and academic publications show that we are clearly on the path toward pervasive AI in both business and society. Organizations must adopt AI to maintain a competitive advantage and explore opportunities for unprecedented innovation. This book focuses on understanding the wide rang...

Generative AI has immensely influenced various fields, such as education, marketing, art and music, and especially healthcare. Generative AI can benefit the patient through various approaches. For instance, it can enhance the image qualities negatively affected by radiation reduction, preventing patients from needing to repeat the image-taking process. Also, the generation of one type of image from another more expensive one can help patients save funds. Generative AI facilitates the admin...

The Governance of Artificial Intelligence provides an essential approach to AI governance, including proactive and comprehensive strategies that efficiently balance innovation and ethical concerns. The book prioritizes social welfare and upholds human rights by maximizing the benefits of AI while reducing its negative aspects. Sections address the principles that govern artificial intelligence, data-related topics, AI algorithms, the issue of computing, applications, and AI governance. Thr...

This book offers a comprehensive exploration into the role of Large Language Models (LLMs) in modern healthcare. It focuses specifically on the lifecycle of LLM deployment in healthcare settings, including transparency, accountability, data privacy, and regulatory compliance to ensure safe and effective use.By bridging the gap between technical artificial intelligence (AI) development and clinical application, this book highlights the critical collaboration between clinicians and d...

Healthcare Transformation Using Artificial Intelligence provides insights into executing healthcare transformation through AI, and deploying health technology at scale. It focuses on improving patient outcomes while managing costs, highlighting selected use of AI and contrasting it with a "tech push" approach. Through interactions with leading clinicians and healthcare administrators, this book presents the most urgent challenges facing patients, such as lifestyle, self-empowerment, adhere...

This book presents a selected collection of high-quality papers presented at Computing Conference 2026, held in London, UK, on 9–10 July 2026. The conference witnessed submissions from researchers, academicians, and industry practitioners from worldwide. To ensure the high standards of originality, technical quality, and relevance to the conference themes, all the papers were passed through a double-blind peer-review process.A wide range of core computer science tracks, including AI...

This book highlights new trends and challenges in research on agents and the new digital and knowledge economy. It includes papers on business process management, agent-based modeling and simulation and anthropic-oriented computing that were originally presented at the 18th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2024), held in Madeira, Portugal, on June 19–21, 2024. The respective papers cover topics such as software agents,...

The CCIS volume constitutes the proceedings of the 20th International Conference on Knowledge Management in Organizations, KMO 2026, Manila, Philippines, held during August 2026.The 40 full papers presented in this volume were carefully reviewed and selected from 68 submissions.They are grouped into the following topics: AI Readiness, Governance, and Public Knowledge Ecosystems; Generative AI, Knowledge Creation, and KM Models; AI Transformation, Agents, Digital Twins, and ...

The book covers multiple aspects and challenges, from legal to technical and validation, in the emerging topic of AI in cancer imaging, bringing together the experience of top researchers and flagship projects.The aim of this book is to address the important questions: “How to design AI that is trustworthy”, and “How to validate AI trustworthiness” in the scope of AI for cancer imaging research. The book discusses overall considerations and the generation of a framework; preparing ...

This two-volume set LNCS 1319 and 13320 constitutes the thoroughly refereed proceedings of the 13th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2022, which was held virtually as part of the 24rd HCI International Conference, HCII 2022, in June/July 2022.The total of 1271 papers and 275 poster papers included in the 39 HCII 2022 proceedings volumes was carefully reviewed and selected from 5487 submissions...