Introduction
Artificial Intelligence: Unleashing the Future builds a robust conceptual framework on artificial intelligence and machine learning before diving into practical applications.
Beginning with a historical overview and foundational techniques in machine learning and deep learning the book’s chapters explore the deployment of AI in agriculture through smart irrigation, plant disease detection, and robotic farming; in cybersecurity via intelligent threat detection and defense tools; in healthcare through diagnostic AI, robotic surgery, and telemedicine; and in education by enabling personalized learning and adaptive technologies. Ethical, regulatory, and privacy concerns are also thoughtfully addressed, ensuring readers grasp both the opportunities and the complexities of AI integration.
Key Features:
- - Trace AI’s evolution and emerging architectures
- - Apply machine learning across real-world sectors
- - Explore sector-specific case studies and implementations
- - Understand ethical, legal, and data privacy issues
- - Gain insights into future trends in AI deployment.
Readership:
Graduate students, AI professionals, researchers, and technology leaders, seeking to harness the transformative power of AI.