Introduction to Artificial Intelligence Concepts , Techniques , and Applications

Introduction to Artificial Intelligence: Concepts, Techniques, and Applications provides a comprehensive and accessible introduction to the rapidly evolving field of Artificial Intelligence (AI). The book explores fundamental AI concepts, essential techniques, and modern methodologies, covering topics such as intelligent systems, machine learning, deep learning, neural networks, natural language processing, robotics, and real-world AI applications. With clear explanations, practical examples, and structured discussions, it helps readers understand how AI technologies work and how they are transforming various industries. Designed for students, researchers, educators, and industry professionals, this book bridges theoretical foundations with practical applications. It serves as a valuable learning resource for developing AI knowledge, understanding emerging technologies, and exploring innovative solutions to real-world challenges in the modern digital world.

Prof.Vijayalakshmi Kakulapati received a Ph. D in Computer Science & Engineering in the area of Information Retrieval from JNTU Hyderabad and, a PDF in CSE from Srinivasa University. She is working as a Professor in the Department of Computer Science allied, MVSR Engineering College, and has around 28+ years of industry and teaching experience. She is a member of various professional bodies like IEEE, ACM, CSTA, LMISTE, LMCSI, IACSIT, FIETE, and a few more. She serves as an Editorial Board member to various international journals such as PLOS One and National journals. Apart from these, she continuously serves National & International Conferences as a program committee member and various International Journals review members, including IEEE Transactions on Computational Social Systems Implementation Science, IAJIT, Journal of Big Data, and IJCNS. Track manager for ICTIS, ICCII, ICDECT, and many more conferences.
She has more than 300+ publications in National and international journals and conferences. She authored ten books. She has 10 granted patents and 6 published patents. She took an active role in two National Conferences and four International Conferences as Session chair. She received Research awards from many organizations. She organized various Workshops including AICTE sponsored and DST sponsored workshops. She received the JNTUH TEQUIP-III CRC funding project and completed.
Her area of research includes theoretical and practical information retrieval problems and machine learning applied to large-scale textual applications. Her research has focused on retrieval models, query/document representations, term weighting, term proximity models, and learning to rank (machine-learned ranking functions). She is interested in expanding the breadth and depth of research into other related areas or fields of study. She is also passionate about seeing research problems applied to real-world issues, especially those dealing with large, complex data sets. Along these lines, she works with evaluating and designing novel search algorithms for web search and summarization. Currently, she is working with big data analytics, health informatics, Data science, machine learning, AI, AI and DL, information Retrieval systems, NLP, and the Internet of Things.