Multiple Aspects of Artificial Intelligence

Description

In order to simulate human intellect in robots, a vast and interdisciplinary discipline known as artificial intelligence (AI) integrates computer science, data analysis, and problem-solving strategies. It entails the creation of algorithms and systems that give computers the ability to observe, comprehend, reason, pick up new information, and make decisions. Fundamentally, AI strives to build intelligent computers that can work independently, adapt to new circumstances, and display traits that resemble human intelligence. Machine learning and deep learning are two important subfields and methodologies within the umbrella of artificial intelligence (AI). The main goal of machine learning is to create algorithms that let computers learn from data and get better at what they do without being explicitly taught. Deep learning, a subset of machine learning, processes and analyses complicated data using artificial neural networks modelled after the structure and operation of the human brain.

AI's main objective is to create machines that can carry out tasks that have historically required human intelligence, like speech and picture recognition, natural language processing, decision-making, problem-solving, and even creative activities. These systems use enormous databases and computational capacity to do amazing feats as they attempt to comprehend, analyse, and respond to the complexity of the world. AI algorithms can find patterns, connections, and insights by analysing and processing enormous amounts of data that may escape human observers. Significant improvements in a variety of fields, such as business, education, finance, and social media, have been made possible by this skill. By automating procedures, improving judgement, personalising interactions, and gleaning important insights from vast amounts of data, AI is revolutionising a variety of businesses.

About the Authors

Dr. Parul Saxena
Dr. Parul Saxena, Convener and Head of the Department of Computer Science at SSJ University, Almora, received her M.Sc. in Computer Science from GBPUA&T, Pantnagar, and Ph.D. from Kumaun University, Nainital; she has made significant research contributions in renowned journals such as IEEE and Springer. Dr. Saxena has authored three books and has secured one patent. She is an active member of academic societies like IUPRAI, ISCA, and SRBS. Her research fields are Artificial Intelligence, Signal Processing, and Wavelet Theory.

Dr. Vinay Saxena
Dr. Vinay Saxena is a highly esteemed academician and mathematician who brings a wealth of knowledge and expertise to his role as Principal of Kisan Postgraduate College in Bahraich, Uttar Pradesh, India. With a strong academic foundation from IIT Kanpur, and GBPUAT Pantnagar, he has made significant contributions in the fields of Pattern Recognition, Machine Learning, and Numerical Analysis. His extensive research publications and active involvement in professional organizations such as IMS, IUPRAI, ISCA, ISHM, RMS, GANITA, and SRBS showcase his dedication to advancing mathematical sciences and fostering interdisciplinary collaborations.

Dr. Adarsh Pandey
Dr. Adarsh Pandey, an esteemed Assistant Professor and head of the Botany department, is renowned for his expertise in Mycology. His distinguished Ph.D. and exceptional research papers have earned him national and international recognition. Embracing the internet, he actively engages in online work, collaborating with researchers worldwide and utilizing online platforms to share his findings. Dr. Pandey's online presence facilitates accessibility to his biodata, contributing to scientific knowledge and fostering global connections in the field of Botany.

Uri Flato
Big Data and critical care medicine researcher Uri Adrian Prync Flato has 20 years of expertise working with the global healthcare system. Motivated to help patients and give them the greatest possible medical experience using cutting-edge technologies. presently at Brazil's Israelita Albert Einstein Hospital.

Mr. Keshav Shukla
Mr. Keshav Shukla is pursuing Research in Botany with a Master's degree in Biotechnology. He has experience in plant tissue culture, plant propagation, and plant growth analysis.

Book Details

ISBN: 9789395470575

Publisher: Book Saga Publications

Number of Pages: 149

Dimensions: 6.00"x9.00"

Interior Pages: B&W

Binding: Paperback (Perfect Binding)

Availability: In Stock (Print on Demand)

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Ms. Jagriti Gupta 1 year, 4 months ago

"Multiple Aspects of Artificial Intelligence" is an impressive and informative read that provides a holistic view of the diverse world of AI.

Author's strikes a commendable balance between theory and real-world applications, making this book accessible to a wide range of readers. Whether you are an aspiring AI enthusiast seeking a foundational understanding or a seasoned AI professional looking to broaden your knowledge, this book is a valuable addition to your library. While it may not delve into the deepest technical intricacies, its comprehensiveness and clarity make it an excellent starting point for anyone interested in exploring the boundless possibilities of artificial intelligence.

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