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De Albuquerque, Victor Hugo C., editor. Raj, Pethuru, editor. Yadav, Satya Prakash, editor.

Toward artificial general intelligence : deep learning, neural networks, generative AI / edited by Victor Hugo C. de Albuquerque, Pethuru Raj, Satya Prakash Yadav.

Berlin ;   Boston, [MA] :   De Gruyter,   c2024.  

xiv, 409 p. : ill. ; 25 cm.

9783111323565

"Artificial Intelligence (AI) has been an exciting field of study and research in educational institutions and research labs across the globe. Technology giants and IT organizations invest heavily on AI technologies and tools with the aim of precisely automating a variety of simple as well as complicated business operations across industry verticals. This book covers the latest trends and transitions happening in the futuristic AI domain. The book also focuses on machine and deep learning (ML/DL) algorithms, which are, undoubtedly, the mainstream implementation technologies of state-of-the-art AI systems and services. Also, there are chapters on computer vision (CV) and natural language processing (NLP), the primary use cases and applications of AI. The book has well-written chapters for demystifying AI model engineering methods. Further on, our esteemed readers can find details on AI model evaluation, optimization, deployment and observability. Finally, the book deals and describes generative AI, the latest buzzword in the IT industry. The book presents the recent ground-breaking changes taking place in the aspects of AI model building, hosting, running and maintaining in cloud environments, articulates and accentuates the most recent developments taking place in the domain of Artificial Intelligence, covers the noteworthy innovations and disruptions towards Generative Artificial Intelligence (Generative AI), explains the breakthrough innovations and disruptions towards Artificial General Intelligence (AGI) and delineates an engaging discussion of Natural Language Processing, Neuromorphic Systems and Biometrics."--Back cover.

1. Introduction to artificial intelligence / Mahesh Maurya, Vishal Gangadhar Puranik, A. Senthil Kumar, Balambigai Subramanian -- 2. AI technologies, tools, and industrial use cases / Shaik Mohammad Rafee, M. Prasad, M. Sunil Kumar, Balamurugan Easwaran -- 3. Classification and regression algorithms / G. Venkataramana Sagar, S. Ambareesh, P. John Augustine, R. Gayathri -- 4. Clustering and association algorithm / Ashwin M., Nazeer Shaik, Faiz Akram, Getachew Mamo Wegari -- 5. Reinforcement learning / Nazeer Shaik, S. Chandra Sekaran, Amit Mahajan, Balkeshwar Singh -- 6. Evaluation of AI model performance / Syed Ibad Ali, Padmavathi Thasappan Kalaivaani, Ambigaipriya S., MD Rafeeq -- 7. Methods of cross-validation and bootstrapping / K. Arthi, Veeramalai Sankaradass, Nikhat Parveen, Muralidharan J. -- 8. Meta-learning through ensemble approach : bagging, boosting, and random forest strategies / S. Ramasamy, Kantharaju H.C., N. Bindu Madhavi, Haripriya M.P. -- 9. AI : issues, concerns, and ethical considerations / Abhisek Sethy, Nazeer Shaik, Pavan Kumar Yadavalli, S.P. Anandaraj -- 10. The future with AI and AI in action / Abhisek Sethy, Nazeer Shaik, V. Saravanan, S. Karthika -- 11. A survey of AI in industry : from basic concepts to industrial and business applications / S.P. Sreekala, S. Revathy, S. Rajeshwari, B. Girimurugan -- 12. The intelligent implications of artificial intelligence-driven decision-making in business management / S. Revathy, S.P. Sreekala, D. Praveenadevi, S. Rajeshwari -- 13. An innovative analysis of AI-powered automation techniques for business management / P. Krishna Priya, Karthik Rudra, Deepak Sai Kandula, G. Charan Teja, K. Venkata Koushik Reddy -- 14. The smart and secured AI-powered strategies for optimizing processes in multi-vendor business applications / B. Girimurugan, S. Rajeshwari, S.P. Sreekala, S. Revathy -- 15. Utilizing AI technologies to enhance e-commerce business operations / S. Rajeshwari, D. Praveenadevi, S. Revathy, S.P. Sreekala -- 16. Exploring the potential of artificial intelligence in wireless sensor networks / Vijaya Gunturu, Charanjeet Singh, Nikhil S. Patankar, S. Praveena -- 17. Exploring artificial intelligence techniques for enhanced sentiment analysis through data mining / M.V. Jagannatha Reddy, J. Somasekar, Kaushalya Thopate, Sanjeev Kumar Angadi -- 18. Exploring the potential of artificial intelligence for automated sentiment analysis and opinion mining / Senthil Kumar C., A.R. Arunarani, Piyush Charan, Sanjeev Kumar Angadi -- 19. A novel blockchain-based artificial intelligence application for healthcare automation / Pramendra Kumar, Gunawan Widjaja, Nikhil S. Patankar, B. Suresh Kumar -- 20. Enhancing industrial efficiency with AI-enabled blockchain-based solutions / Soumya Mishra, Priyanka Sharma, Bhoopathy Varadharajan, Bhola Khan.

Includes bibliographical references and index.

Artificial intelligence. Artificial intelligence --Economic aspects. Artificial intelligence --Moral and ethical aspects. Business enterprises --Technological innovations. Algorithms --Social aspects. Machine learning.