Artificial Intelligence Entities

Data, Intelligences and Analytics
1. Auflage 2027
ISBN: 978-1-041-12418-4
Verlag: Taylor & Francis Ltd

Buch, Englisch, 266 Seiten, Format (B × H): 156 mm x 234 mm

Artificial Intelligence Entities explores artificial intelligence entities empowered by data, intelligences, and analytics. It elaborates deep cutting-edge theories and technologies of artificial intelligence entities (AIE), intelligent models, and algorithms. It also creates an integrated relationship between AIE and multiagent systems.

This book examines advanced technologies of intelligent agent systems, apps, and platforms with a variety of applications, including LLM-driven AI, AI-driven autonomous vehicles, humanoid robots, pharmacy and healthcare. This book presents original insights on AI computing, multimodal reasoning, meta computing, data analyticizing, DDPP analytics, and a unified system of AI computing. This book hopes that ideas, theories, methods, and techniques help readers prepare critical Data, analytics, and intelligence for AIE with applications.

This book serves a useful resource for professionals in the fields such as data science, analytics, and AI. It can be used as a guide for upper undergraduate and postgraduate students in courses such as business analytics and information systems.

Zielgruppe

Postgraduate, Professional Reference, and Undergraduate Advanced

Autoren/Hrsg.

Sun, Zhaohao

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie

Inhaltsverzeichnis

Section I: The DIgital Health Landscape 1: Advances of digital health, lifestyle medicine and its socio-technical make up 2: Health care web of players and the people perspective 3: The processes in healthcare, prevention and wellness care 4: The technology perspective and how AI and ML are providing opportunities Section II: Theories for designing and developing digital health solutions for superior chornic disease management 5: Chronic conditions and the critical issues around managing them 6: DSRM, CC and UCD 7: TTF and UTAUT 8: Orchestration & automation 9: Nudge theory and gamification Section III: Case Examples 10: MiCare 11: Diamond 12: Cardiac rehab 13: Asthma

Über Autor(innen)

Zhaohao Sun, is a full professor of Information Technology at Papua New Guinea University of Technology. He held the academic positions in China, Germany; and Australia. He is an author of thirteen books and numerous academic publications. His current interests include AI, big data, and intelligent analytics. He is a senior member of the Institute of Electrical and Electronic Engineers and a member of Association of Computing Machinery.