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Therefore, this volume represents only the beginning of a timely exploration of decision-making processes across thousands of applications that AI is expected to influence, including engineering, healthcare, management, human behavior, and business.
Integrating supervised, unsupervised, self-supervised, and reinforcement learning with modern neural network design, the book offers a unified view of machine learning and pattern recognition grounded in statistical learning theory and optimization.
What are the consequences of generative AI for everyday literary studies? And then, it wonders what these discussions mean for literary studies, and most specifically, for literary criticism, for the work of interpretation.
This book aims to provide a comprehensive perspective on the growing challenges posed by artificial intelligence (AI) for researchers and professionals.
This edited volume explores how artificial intelligence (AI) is transforming science education across multiple dimensions—including theoretical, pedagogical, ethical, and practical aspects.
This open access book provides an exploration of how technology and innovation are transforming the field of Critical Infrastructure Resilience.
As public relations professors strive to not only teach the foundations of public relations but help students apply what they learn to actual work in their field, this book contains many exercises and examples of teaching ideas.