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This groundbreaking proceedings volume explores the integration of Artificial Intelligence (AI) across key domains-healthcare, finance, education, robotics, industrial and other engineering applications -unveiling its transformative potential and practical implications. With a multidisciplinary lens, it transcends technical aspects, fostering a comprehensive understanding while bridging theory and practice.
Approaching the subject matter with depth, the book combines theoretical foundations with real-world case studies, empowering researchers, professionals, and enthusiasts with the knowledge and tools to effectively harness AI. Encompassing diverse AI topics-machine learning, natural language processing, computer vision, data analytics and supervisory control - the volume showcases state-of-the-art techniques propelling AI advancements.
Structured into four parts: Part 1: Artificial Intelligence (AI), explores evolving deep neural networks, reinforcement learning, and explainable AI, providing a deep dive into the technical foundations of AI advancements.
Part 2: Robotics and Control Systems, delves into the integration of AI in robotics and automatic control, addressing supervisory control, automated robotic movement coordination, anomaly detection, dynamic programming, and fault tolerance, offering insights into the evolving landscape of intelligent automation.
Part 3: AI and Society, examines the societal impact of AI through chapters on ethical considerations, economic growth, environmental engagements, and hazard management, providing a holistic perspective on AI's role in shaping society.
Part 4: PhD Symposium, presents the future of AI through cutting-edge research, covering legal and ethical dimensions, privacy considerations, and computationally efficient solutions, offering a glimpse into the next generation of AI advancements.
Catering to a diverse audience-from industry leaders to students-the volume consolidates the expertise of renowned professionals, serving as a comprehensive resource for navigating the ever-evolving AI landscape. An essential reference for those staying at the forefront of AI developments.
Table des matières
Advances in AI - NLP, Vision, Voice, and Self-taught AI Systems.- Soft Computing and Evolutionary Computing.- Neuro Evolutionary Techniques.- Innovations in AI methods, techniques, and algorithms.- Explainable AI.- AI and Robotics.- AI and Automatic Control.- AI and Cloud.- AI and IoT.- Intelligent Engineering Systems, Expert Systems.- Knowledge-Based Systems.
