The possibility of direct interfacing between biological and technological information devices could result in a merger of mind and machine - Ultimate Computing.
Most of the well-known mathematical software systems are batch oriented, though in the past few years there have been attempts to incorporate ``knowledge' or ``expertise' into these systems.
Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations.
The aim of this book is to provide a platform to academicians, practitioners, and researchers to understand current and future trends in software reliability growth modeling.
The aim of this book is to provide a platform to academicians, practitioners, and researchers to understand current and future trends in software reliability growth modeling.
First published in 1992, this volume identifies the problems facing the designer of multi-environmental knowledge-based systems, and explains the principles that must be followed in order to obtain successful results.
The Book presents an overview of newly developed watermarking techniques in various independent and hybrid domains Covers the basics of digital watermarking, its types, domain in which it is implemented and the application of machine learning algorithms onto digital watermarking Reviews hardware implementation of watermarking Discusses optimization problems and solutions in watermarking with a special focus on bio-inspired algorithms Includes a case study along with its MATLAB code and simulation results
This book focuses on the pioneering applications of an expert system in development relate to agriculture in many of the developing countries, introducing the reader to some of the key concepts underlying most expert systems.
This book includes a collection of papers on both natural (biological) and artificial (computer) approaches to several facets of intelligent behavior from the primary viewpoint of the convergence of computer science and biology in the theory of cognitive science.
This book includes a collection of papers on both natural (biological) and artificial (computer) approaches to several facets of intelligent behavior from the primary viewpoint of the convergence of computer science and biology in the theory of cognitive science.
About the BookThe book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research.
A smart, incisive take-down of so-called artificial intelligence , exposing the real harm these technologies do to our jobs, health, society and environment, who stands to gain from them, and how to fight back.
This book describes the need of copyright protection for multimedia objects and develops an invisible image watermarking scheme to serve the purpose of copyright protection.
This book offers an African perspective on how news organisations are embracing digital participatory practices as part of their everyday news production, dissemination and audience engagement strategies.
Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering.
'[The Corporation Wars] is a tasty broth of ideas taking in virtual reality, artificial intelligence, the philosophy of law and disquisitions on military ethics.
Digital Image Enhancement and Reconstruction: Techniques and Applications explores different concepts and techniques used for the enhancement as well as reconstruction of low-quality images.
Semantic Models in IoT and eHealth Applications explores the key role of semantic web modeling in eHealth technologies, including remote monitoring, mobile health, cloud data and biomedical ontologies.
Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing.
Statistical Modeling in Machine Learning: Concepts and Applications presents the basic concepts and roles of statistics, exploratory data analysis and machine learning.
Federated Learning for Medical Imaging: Principles, Algorithms, and Applications gives a deep understanding of the technology of federated learning (FL), the architecture of a federated system, and the algorithms for FL.
Machine Vision for Three-Dimensional Scenes contains the proceedings of the workshop "e;Machine Vision - Acquiring and Interpreting the 3D Scene"e; sponsored by the Center for Computer Aids for Industrial Productivity (CAIP) at Rutgers University and held in April 1989 in New Brunswick, New Jersey.
Artificial and Mathematical Theory of Computation is a collection of papers that discusses the technical, historical, and philosophical problems related to artificial intelligence and the mathematical theory of computation.
Since its publication, Essentials of Artificial Intelligence has beenadopted at numerous universities and colleges offering introductory AIcourses at the graduate and undergraduate levels.
Artificial Intelligence in Engineering Design, Volume II: Models of Innovative Design, Reasoning About Physical Systems, and Reasoning About Geometry focuses on the processes, programs, techniques, and technologies involved in the employment of artificial intelligence in engineering design.
Perspectives in Artificial Intelligence, Volume 1: Case-Based Planning: Viewing Planning as a Memory Task focuses on the processes, methodologies, and techniques employed in viewing planning as a memory task.
This book addresses the techniques for modeling and integration of data provided by different sensors within robotics and knowledge sources within machine intelligence.
COLT '90 covers the proceedings of the Third Annual Workshop on Computational Learning Theory, sponsored by the ACM SIGACT/SIGART, University of Rochester, Rochester, New York on August 6-8, 1990.
Sir Anthony Seldon, the prominent political biographer and leading educationalist, addresses one of the high-stakes issues that will influence our future: the role of artificial intelligence and its impact on education.
Make your searches more responsive and smarter by applying Artificial Intelligence to itKey FeaturesEnter the world of Artificial Intelligence with solid concepts and real-world use casesMake your applications intelligent using AI in your day-to-day apps and become a smart developerDesign and implement artificial intelligence in searchesBook DescriptionWith the emergence of big data and modern technologies, AI has acquired a lot of relevance in many domains.
A New York Times bestselling author and tech columnist's counter-intuitive guide to staying relevant - and employable - in the machine age by becoming irreplaceably human.
'Devastating and urgent, this book could not be more timely' Caroline Criado Perez, award-winning and bestselling author of Invisible WomenDanielle Citron takes the conversation about technology and privacy out of the boardrooms and op-eds to reach readers where we are - in our bathrooms and bedrooms; with our families and our lovers; in all the parts of our lives we assume are untouchable - and shows us that privacy, as we think we know it, is largely already gone.
In May 1997, the world watched as Garry Kasparov, the greatest chess player in the world, was defeated for the first time by the IBM supercomputer Deep Blue.
The gripping inside story of the race to build conversationally capable computersChat with the author: ask your Alexa device to open the voice computing book __________________The next great technological disruption is coming.
Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations.
