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Intelligent Computing: An Introduction to Artificial Intelligence Book
In this book named ‘Intelligent Computing: An Introduction to Artificial Intelligence.’ the authors try to give detailed information on various aspects of Intelligent computing. This book consists of seven chapters from Introduction to AI to the Future of AI. The first chapter consists of the Introduction, history importance, and impact of intelligent computing in various fields. The Second chapter gives information about the Foundations of Artificial Intelligence which is cognitive science and its relation to AI. It also explains the Key concepts of Machine learning, Neural networks, Natural language processing and followed by concepts of Robotics. The third chapter explains Intelligent...
BollySwar: 2001 - 2010
BollySwar is a decade-wise compendium of information about the music of Hindi films. Volume 8 chronicles the Hindi film music of the decade between 2001 and 2010. This volume catalogues more than 1000 films and 8000 songs, involving more than 2000 music directors, lyricists and singers. An overview of the decade highlights the key artists of the decade - music directors, lyricists and singers - and discusses the emerging trends in Hindi film music. A yearly review provides listings of the year's top artists and songs and describes the key milestones of the year in Hindi film music. The bulk of the book provides the song listing of every Hindi film album released in the decade. Basic informat...
What the Fit
In his debut fitness book, Kapil shares his unique blend of professional wisdom and personal fitness insights. He believes that the principles that guide a successful career can also lead to a healthy and fulfilling life. Through his book, readers will not only learn about effective fitness routines but also discover how to cultivate the mindset and discipline required to achieve both personal and professional success. Kapil's approach to fitness is not just about physical well-being; it's about building a lifestyle that fosters growth, balance, and continuous learning.
Machine Learning in Translation
Machine Learning in Translation introduces machine learning (ML) theories and technologies that are most relevant to translation processes, approaching the topic from a human perspective and emphasizing that ML and ML-driven technologies are tools for humans. Providing an exploration of the common ground between human and machine learning and of the nature of translation that leverages this new dimension, this book helps linguists, translators, and localizers better find their added value in a ML-driven translation environment. Part One explores how humans and machines approach the problem of translation in their own particular ways, in terms of word embeddings, chunking of larger meaning un...
Advances in Information Retrieval
This two-volume set LNCS 13185 and 13186 constitutes the refereed proceedings of the 44th European Conference on IR Research, ECIR 2022, held in April 2022, due to the COVID-19 pandemic. The 35 full papers presented together with 11 reproducibility papers, 13 CLEF lab descriptions papers, 12 doctoral consortium papers, 5 workshop abstracts, and 4 tutorials abstracts were carefully reviewed and selected from 395 submissions. Chapters “Leveraging Customer Reviews for E-commerce Query Generation” and “End to End Neural Retrieval for Patent Prior Art Search” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Essentials of Interventional Cancer Pain Management
This text provides a comprehensive review and expertise on various interventional cancer pain procedures. The first part of the text addresses the lack of consistency seen in the literature regarding interventional treatment options for specific cancer pain syndromes. Initially, it discusses primary cancer and treatment-related cancer pain syndromes that physicians may encounter when managing cancer patients. The implementation of paradigms that can be used in treating specific groups of cancer such as breast cancer, follows. The remainder of the text delves into a more common approach to addressing interventional cancer pain medicine. After discussing interventional options that are commonl...
Practicing Trustworthy Machine Learning
With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable. Authors Yada Pruksachatkun, Matthew McAteer, and Subhabrata Majumdar translate best practices in the academic literature for curating datasets and building models into a blueprint for building industry-grade trusted ML systems. With this book, engineers and data scientists will gain a much-needed foundation for releasing trustworthy ML applications into a noisy, messy, and often hostile world. You'll learn: Methods to explain ML models and their outputs to stakeholders How to recognize and fix fairness concerns and privacy leaks in an ML pipeline How to develop ML systems that are robust and secure against malicious attacks Important systemic considerations, like how to manage trust debt and which ML obstacles require human intervention
Computer Vision
Computer vision has made enormous progress in recent years, and its applications are multifaceted and growing quickly, while many challenges still remain. This book brings together a range of leading researchers to examine a wide variety of research directions, challenges, and prospects for computer vision and its applications. This book highlights various core challenges as well as solutions by leading researchers in the field. It covers such important topics as data-driven AI, biometrics, digital forensics, healthcare, robotics, entertainment and XR, autonomous driving, sports analytics, and neuromorphic computing, covering both academic and industry R&D perspectives. Providing a mix of breadth and depth, this book will have an impact across the fields of computer vision, imaging, and AI. Computer Vision: Challenges, Trends, and Opportunities covers timely and important aspects of computer vision and its applications, highlighting the challenges ahead and providing a range of perspectives from top researchers around the world. A substantial compilation of ideas and state-of-the-art solutions, it will be of great benefit to students, researchers, and industry practitioners.
Computer Vision, Graphics and Image Processing
This book constitutes the refereed proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2006, held in Madurai, India, December 2006. Coverage in this volume includes image restoration and super-resolution, image filtering, visualization, tracking and surveillance, face-, gesture-, and object-recognition, compression, content based image retrieval, stereo/camera calibration, and biometrics.
