| About Book
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 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, 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 covers the Limitations & strengths of AI algorithms, Privacy and security concerns, Automation and its impact on job displacement 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 detailed enough information for the reader to enhance their knowledge of Intelligent Computing and AI.
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About Authors
Dr. Shivamurthaiah. M Professor and HOD, Department of Computer Science and Engineering, Dr. Sri Sri Sri Shivakumara Mahaswamy College of Engineering, Bengaluru, India. Dr. Shivamurthaiah Mallaiah, received his Ph.D. in Computer Science and Engineering, from Rabindranath Tagore University, Bhopal, Bharat. His fields of specialization include Artificial Intelligence, Software Engineering, Machine Learning, and Image Processing. He’s got 17 years of teaching experience and 09 years of research experience, served on various Academic and Examination committees as a member (BOS and BOE) and Chair. He is currently a Professor and Head, of the Department of Computer Science & Engineering. Dr. Praveen Kumar K With 15 years of teaching and 6 years in IT, I offer substantial expertise as an Assistant Professor at BS Channabasappa First Grade College, Davanagere. Demonstrated success in curriculum development, innovative teaching, and valuable insights from the IT industry. Dr. Vinay S He is an Academician having 12+ years of teaching experience. He is currently working as an Assistant Professor in the Department of Studies in Computer Science, at Davangere University, Shivagangotri, Davangere, Karnataka, INDIA. He completed his post-graduation: Master of Computer Application in the year 2011 from Visvesvaraya Technological University, Belgaum, Karnataka, and Ph.D. in the year 2021 from Rabindranath Tagore University, Bhopal, Madhya Pradesh, INDIA. Prof. Rakesh Podaralla Working as an Assistant Professor, School of Computing and Information Technology, REVA University, Bengaluru, Karnataka, India. I am pursuing my PhD at Bharatiya Engineering Science and Technology Innovation University (BESTIU). He received his M. Tech degree in the Department of Computer Science and Engineering, from the Madanapalle Institute of Technology and Science, Madanapalle, JNTU Anantapur. He has 5+ Years of Academic Experience in various Educational Institutions for undergraduate-level students. He has attended and presented his work at several National and International symposia and conferences and also attended several online certificate courses. His research area of interest lies in Cloud Computing, Web Technologies, and Machine Learning.
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