By reading this book, you're not just gaining knowledge; you're equipping yourself to excel, succeed, and contribute to the nation's growth along with Bank’s growth. This book will be your invaluable companion on the path to success in your banking career. This Book explores how modern technology has transformed the way exams are conducted, from online applications to computer-based testing. It also delves into the impact of AI and machine learning on the evaluation process. One of the critical aspects of succeeding in JAIIB exams is effective time management. This book provides practical strategies to allocate time efficiently during the preparation phase and the exam itself. From creating study schedules to tackling time-bound questions, these strategies help you maximize your performance. Breathing exercises, mindfulness techniques, and positive affirmations are explored to help you stay calm under pressure. Not every attempt yields success, and that's okay. This book emphasizes the importance of viewing failures as learning opportunities. This mind-set shift is crucial for maintaining motivation and pushing forward. Learning is a continuous journey. The book's comprehensive coverage of topics, practical tips, and insights into the competitive exam landscape has prepared you to face challenges head-on. Remember, success in JAIIB exams isn't solely about rote memorization; it's about understanding, critical thinking, and applying knowledge effectively. Armed with the information from this book, you're well-equipped to not only ace your exams but also contribute positively to the bank's growth and development.

Evolving technological advancements in big data, smartphone and mobile software applications, the Internet of Things and a vast range of application areas in all sorts of human activities and professions, lead current research toward the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence. The book at hand, devoted to Smart Software Applications in Cyber-Physical Systems, constitutes the second volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in Smart Software Applications in (i) Scientific Document Processing, (ii) Enterprise Modeling, (iii) Education, (iv) Health care and Medicine, and (v) Infrastructure Monitoring. Professors, researchers, scientists, engineers, and students in artificial intelligence, software engineering, and computer science-related disciplines are expected to benefit from it, along with interested readers from other disciplines.

A landmark work from one of the preeminent historians of our time: the first published biography of Andrew W. Mellon, the American colossus who bestrode the worlds of industry, government, and philanthropy, leaving his transformative stamp on each. Andrew Mellon, one of America’s greatest financiers, built a legendary personal fortune from banking to oil to aluminum manufacture, tracking America’s course to global economic supremacy. As treasury secretary under Presidents Harding, Coolidge, and finally Hoover, Mellon made the federal government run like a business–prefiguring the public official as CEO. He would be hailed as the architect of the Roaring Twenties, but, staying too long, would be blamed for the Great Depression, eventually to find himself a broken idol. Collecting art was his only nonprofessional gratification and his great gift to the American people, The National Gallery of Art, remains his most tangible legacy.

This book constitutes the refereed proceedings of the 14th International Symposium on Neural Networks, ISNN 2017, held in Sapporo, Hakodate, and Muroran, Hokkaido, Japan, in June 2017. The 135 revised full papers presented in this two-volume set were carefully reviewed and selected from 259 submissions. The papers cover topics like perception, emotion and development, action and motor control, attractor and associative memory, neurodynamics, complex systems, and chaos.

The two-volume set LNCS 10761 + 10762 constitutes revised selected papers from the CICLing 2017 conference which took place in Budapest, Hungary, in April 2017. The total of 90 papers presented in the two volumes was carefully reviewed and selected from numerous submissions. In addition, the proceedings contain 4 invited papers. The papers are organized in the following topical sections: Part I: general; morphology and text segmentation; syntax and parsing; word sense disambiguation; reference and coreference resolution; named entity recognition; semantics and text similarity; information extraction; speech recognition; applications to linguistics and the humanities. Part II: sentiment analysis; opinion mining; author profiling and authorship attribution; social network analysis; machine translation; text summarization; information retrieval and text classification; practical applications.

In this 2003 edition, the Worldwatch Institute's award-winning research team provides concerned citizens and national leaders with comprehensive analysis of global environmental problems, together with detailed descriptions of practical, innovative solutions.

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth it has seen with the advent of Deep Neural Networks (DNNs) and Machine Learning. Updates in this release include chapters on Hardware accelerator systems for artificial intelligence and machine learning, Introduction to Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Deep Learning with GPUs, Edge Computing Optimization of Deep Learning Models for Specialized Tensor Processing Architectures, Architecture of NPU for DNN, Hardware Architecture for Convolutional Neural Network for Image Processing, FPGA based Neural Network Accelerators, and much more. - Updates on new information on the architecture of GPU, NPU and DNN - Discusses In-memory computing, Machine intelligence and Quantum computing - Includes sections on Hardware Accelerator Systems to improve processing efficiency and performance