Description: Artificial intelligence (AI) innovation works to transform various sectors, driving efficiency, enhancing decision-making, and creating new opportunities for growth. From healthcare and finance to agriculture and entertainment, real-world applications of AI are demonstrating its potential to solve complex problems and improve everyday life. As these technologies continue to evolve, further exploration into the integration of AI into different fields may allow for a more efficient, sustainable, and innovative future. Real-World Applications of AI Innovation explores the latest advancements and practical applications of artificial intelligence across various domains. It delves into cutting-edge AI methodologies, algorithms, and technologies, providing readers with a deep understanding of the current landscape and future trends in AI research and development. This book covers topics such as smart farming, machine learning, and deep neural networks, and is a useful resource for computer engineers, scientists, medical professionals, agriculturalists, educators, researchers, academicians, and business owners.
Brief description: Saurav Mallik is currently working as Research Scientist in the Department of Pharmacology and Toxicology, The University of Arizona, USA. Previously, he worked as Postdoctoral Fellow in the Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, USA, the Department of School of Biomedical Informatics, University of Texas Health Science Center at Houston, Texas, USA and in the Division of Bio-statistics of University of Miami Miller School of Medicine, Miami, Florida, USA. He is an active member of Institute of Electrical and Electronics Engineers (IEEE), USA, and American Association for Cancer Research (AACR), USA. He has authored more than 120 peer-reviewed research articles of high impact factors.