Intelligent Computing: an Introduction to Artificial Intelligence

In this book named 'Intelligent Computing: An Introduction to Artificial Intelligence,' the authors try to give detailed information on various aspects of intelligent computing. This book consists of seven chapters from Introduction to AI to the Future of AI. The first chapter consists of the Introduction, history, importance, and impact of intelligent computing in various fields. The second chapter gives information about the Foundations of Artificial Intelligence, which is cognitive...
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In this book named 'Intelligent Computing: An Introduction to Artificial Intelligence,' the authors try to give detailed information on various aspects of intelligent computing. This book consists of seven chapters from Introduction to AI to the Future of AI. The first chapter consists of the Introduction, history, importance, and impact of intelligent computing in various fields. The second chapter gives information about the Foundations of Artificial Intelligence, which is cognitive science and its relation to AI. It also explains the key concepts of Machine Learning, Neural Networks, Natural Language Processing, and is followed by concepts of Robotics. The third chapter explains Intelligent Computing Techniques named Supervised Learning: Linear Regression, Logistic Regression, Support Vector Machines, Unsupervised Learning: Clustering Algorithms, Dimensionality Reduction, Association Rule Mining, Deep Learning: Neural Network Architectures, Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks, Reinforcement Learning, Markov Decision Processes, Q-Learning, and Deep Reinforcement Learning. The fourth chapter consists of information about Applications of Intelligent Computing. Natural Language Processing applications: Sentiment Analysis, Speech Recognition, Machine Translation, Computer Vision applications like Object Detection and Recognition, Image Classification, Facial Recognition, Robotics applications like Autonomous Vehicles, Industrial Automation, Human Robots, Healthcare applications, Disease Diagnosis, Medical Image Analysis & Drug Discovery. The fifth chapter consists of topics on the Ethical and Social Prospective of the Implications of Intelligent Computing, covering the Limitations & Strengths of AI Algorithms, Privacy and Security Concerns, Automation and its Impact on Job Displacement, and also about Governance and Regulations on AI by the government. The sixth chapter contains Future Directions and Challenges in Intelligent Computing Advances like Interpretability of AI Systems, Human-AI Collaboration and Augmentation, and Addressing Ethical and Societal Challenges. The last chapter gives a conclusion about the topic: key points of AI, its Potential Impact in the future & Required Encouragement for further exploration of AI and intelligent computing. This book gives enough detailed information for the reader to enhance their knowledge of Intelligent Computing and AI.