Artificial Intelligence for Future Society

Proceedings of the 2nd International Conference on Artificial Intelligence for Future Society (AIFS-2025)
Herausgegeben:Palade, Vasile; Simic, Milan; Belciug, Smaranda; Patnaik, Srikanta

• Gebundenes Buch

Produktbeschreibung

Artificial Intelligence for Future Society: Proceedings of the 2nd International Conference on AIFS-2025 is a collection of cutting-edge research, case studies, and transformative ideas presented by global experts at the forefront of AI innovation. This volume showcases the convergence of intelligence and technology through real-world applications and theoretical advancements that are shaping the future of our society. The proceedings span around five themes:
Digital Diversity
Human-Machine Interaction
Social Impact and Ethical Issues
Business Intelligence
Healthcare and Paradigm Shift.
By merging theoretical knowledge with practical applications, this book provides a panoramic view of AI s role in creating smart, sustainable, and inclusive systems across sectors. The book empowers AI researchers, practitioners, policymakers, or enthusiasts and frame a pathway from adaptive learning models and data-driven society to ethical algorithms and AI-enabled global collaboration. This edition is a definitive reference for anyone committed to advancing technology for the greater good.

Produktdetails

• Learning and Analytics in Intelligent Systems 54
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 89556108, 978-3-032-08194-0
• Seitenzahl: 944
• Erscheinungstermin: 11. Februar 2026
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9783032081940
• ISBN-10: 3032081947
• Artikelnr.: 75372671

Inhaltsangabe

Optimization of the Construction Mechanism of City Famous Teachers' Work Based on Big Data Analysis.- Optimization of the Construction Mechanism of City Famous Teachers' Work Based on Big Data Analysis.- Architecture and Implementation of Intelligent Document Workflow System Based on Large Language Model Technology.- Artificial Intelligence-Driven Optimization of Ocean Carbon Sink Strategy Research.- Malicious.- Research on the Application of BIT Technology in Equipment Testability Design and PHM.- Construction of Predictive Models for Biochemical Data Mining Based on Deep Learning.- Design of an Equipment Life Assessment System Using Condition Monitoring Data for Pressure Piping Equipment.- AI-Driven Bioinformatics for Deciphering Cyclic RNA Mechanisms in Qingre Huayu Recipe for Cerebral Infarction Therapy.- Intelligent Fingerprint Identification of Athletes Using Detail Matching Algorithm.