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Artificial Intelligence for Future Society

Proceedings of the 2nd International Conference on Artificial Intelligence for Future Society (AIFS-2025)

Medium: Buch
ISBN: 978-3-032-08194-0
Verlag: Springer-Verlag GmbH
Erscheinungstermin: 25.05.2026
vorbestellbar, Erscheinungstermin ca. Mai 2026

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 four themes:  

• Digital Diversity 
• Business Intelligence 
• Human–AI Synergy 
• Responsible AI Futures 

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. It empowers researcher, practitioner, policymaker, or enthusiast and frame a pathway from adaptive learning models to ethical algorithms and AI-enabled global collaboration, this edition is a definitive reference for anyone committed to advancing technology for the greater good. 


Produkteigenschaften


  • Artikelnummer: 9783032081940
  • Medium: Buch
  • ISBN: 978-3-032-08194-0
  • Verlag: Springer-Verlag GmbH
  • Erscheinungstermin: 25.05.2026
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2026
  • Serie: Learning and Analytics in Intelligent Systems
  • Produktform: Gebunden
  • Seiten: 522
  • Format (B x H): 155 x 235 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

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.