Artificial Intelligence In The Age Of Neural Netwo
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|Author||: Robert Kozma,Cesare Alippi,Yoonsuck Choe,Francesco Carlo Morabito|
|Publsiher||: Academic Press|
|Total Pages||: 352|
Download Artificial Intelligence in the Age of Neural Networks and Brain Computing Book in PDF, Epub and Kindle
Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity and smart autonomous search engines. The book covers the major basic ideas of brain-like computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives. The success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel and Amazon can be interpreted using this book. Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN) Authored by top experts, global field pioneers and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making Edited by high-level academics and researchers in intelligent systems and neural networks
|Author||: Marc Stanford|
|Total Pages||: 52|
|Genre||: Electronic Book|
Download The Age of AI Book in PDF, Epub and Kindle
Artificial Intelligence is the simulation of the highly complex human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, and self-correction. When presented with an unfamiliar task, a strong AI system is able to find a solution without human intervention. This book by Marc Stanford will enable you to gain insight about all essential aspects, and major building blocks of AI - systems with generalized human cognitive abilities. Today, Artificial Intelligence is widely used in several vital applications of daily life, and you might not yet be consciously aware of it, but we are already living in the Age of AI.
|Author||: Marjorie Mcshane,Sergei Nirenburg|
|Publsiher||: MIT Press|
|Total Pages||: 448|
Download Linguistics for the Age of AI Book in PDF, Epub and Kindle
A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning--the deep, context-sensitive meaning that a person derives from spoken or written language.
|Author||: Corona Brezina|
|Publsiher||: The Rosen Publishing Group, Inc|
|Total Pages||: 64|
|Genre||: Young Adult Nonfiction|
Download Artificial Intelligence and You Book in PDF, Epub and Kindle
Most people associate artificial intelligence with IBM's Deep Blue playing chess against a world champion or Watson winning a Jeopardy competition, but AI is becoming a part of everyday life. This volume explores the applications of cutting-edge AI technology, incorporating examples particularly relevant to teens. It is used in facial recognition software in social media platforms, digital assistants on mobile devices, and fraud detection related to financial transactions. Autonomous vehicles and smart power grids are in development. The potential drawbacks of artificial intelligence, such as loss of jobs, privacy concerns, and bias in algorithms are also examined.
|Author||: Hasmik Osipyan,Bosede Iyiade Edwards,Adrian David Cheok|
|Publsiher||: CRC Press|
|Total Pages||: 158|
Download Deep Neural Network Applications Book in PDF, Epub and Kindle
The world is on the verge of fully ushering in the fourth industrial revolution, of which artificial intelligence (AI) is the most important new general-purpose technology. Like the steam engine that led to the widespread commercial use of driving machineries in the industries during the first industrial revolution; the internal combustion engine that gave rise to cars, trucks, and airplanes; electricity that caused the second industrial revolution through the discovery of direct and alternating current; and the Internet, which led to the emergence of the information age, AI is a transformational technology. It will cause a paradigm shift in the way’s problems are solved in every aspect of our lives, and, from it, innovative technologies will emerge. AI is the theory and development of machines that can imitate human intelligence in tasks such as visual perception, speech recognition, decision-making, and human language translation. This book provides a complete overview on the deep learning applications and deep neural network architectures. It also gives an overview on most advanced future-looking fundamental research in deep learning application in artificial intelligence. Research overview includes reasoning approaches, problem solving, knowledge representation, planning, learning, natural language processing, perception, motion and manipulation, social intelligence and creativity. It will allow the reader to gain a deep and broad knowledge of the latest engineering technologies of AI and Deep Learning and is an excellent resource for academic research and industry applications.
|Author||: Dr. Jagreet Kaur,Navdeep Singh Gill|
|Publsiher||: BPB Publications|
|Total Pages||: 248|
Download Artificial Intelligence and Deep Learning for Decision Makers Book in PDF, Epub and Kindle
Learn modern-day technologies from modern-day technical giants DESCRIPTION The aim of this book is to help the readers understand the concept of artificial intelligence and deep learning methods and implement them into their businesses and organizations. The first two chapters describe the introduction of the artificial intelligence and deep learning methods. In the first chapter, the concept of human thinking process, starting from the biochemical responses within the structure of neurons to the problem-solving steps through computational thinking skills are discussed. All chapters after the first two should be considered as the study of different technological and Artificial Intelligence giants of current age. These chapters are placed in a way that each chapter could be considered a separate study of a separate company, which includes the achievements of intelligent services currently provided by the company, discussion on the business model of the company towards the use of the deep learning technologies, the advancement of the web services which are incorporated with intelligent capability introduced by company, the efforts of the company in contributing to the development of the artificial intelligence and deep learning research. KEY FEATURES Real-world success and failure stories of artificial intelligence explained Understand concepts of artificial intelligence and deep learning methods Learn how to use artificial intelligence and deep learning methods Know how to prepare dataset and implement models using industry leading Python packages You’ll be able to apply and analyze the results produced by the models for prediction WHAT WILL YOU LEARN How to use the algorithms written in the Python programming language to design models and perform predictions in general datasets Understand use cases in different industries related to the implementation of artificial intelligence and deep learning methods Learn the use of potential ideas in artificial intelligence and deep learning methods to improve the operational processes or new products and how services can be produced based on the methods WHO THIS BOOK IS FOR This book is targeted to business and organization leaders, technology enthusiasts, professionals, and managers who seek knowledge of artificial intelligence and deep learning methods. Table of Contents Artificial Intelligence and Deep Learning Data Science for Business Analysis Decision Making Intelligent Computing Strategies By Google Cognitive Learning Services in IBM Watson Advancement web services by Baidu Improved Social Business by Facebook Personalized Intelligent Computing by Apple Cloud Computing Intelligent by Microsoft
|Author||: Piero Scaruffi|
|Total Pages||: 496|
|Genre||: Electronic Book|
Download Intelligence Is Not Artificial Book in PDF, Epub and Kindle
This book provides a detailed history of Artificial Intelligence, and a "reality check".Themes explored in this book include:- Most of the "intelligence" of our machines is dueto the environment that humans structure for them.- We are building "vast algorithmic bureaucracies" all around us.- Automation is an effect, not a cause.- The danger is not that machines will become as intelligent as us but that we will become as dumb as them (the Turing Test in reverse).- We have always coexisted with super-human (or, better, non-human) intelligence.- The Singularity is simply a religion for the god-less 21st century.
|Author||: Stanley Cohen|
|Publsiher||: Elsevier Health Sciences|
|Total Pages||: 288|
Download Artificial Intelligence and Deep Learning in Pathology Book in PDF, Epub and Kindle
Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience. Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. Discusses and explains recent accomplishments such as algorithms used to diagnose skin cancer from photographs, AI-based platforms developed to identify lesions of the retina, using computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many more.
|Author||: Neil Leach|
|Publsiher||: Bloomsbury Publishing|
|Total Pages||: 272|
Download Architecture in the Age of Artificial Intelligence Book in PDF, Epub and Kindle
Artificial intelligence is everywhere – from the apps on our phones to the algorithms of search engines. Without us noticing, the AI revolution has arrived. But what does this mean for the world of design? The first volume in a two-book series, Architecture in the Age of Artificial Intelligence introduces AI for designers and considers its positive potential for the future of architecture and design. Explaining what AI is and how it works, the book examines how different manifestations of AI will impact the discipline and profession of architecture. Highlighting current case-studies as well as near-future applications, it shows how AI is already being used as a powerful design tool, and how AI-driven information systems will soon transform the design of buildings and cities. Far-sighted, provocative and challenging, yet rooted in careful research and cautious speculation, this book, written by architect and theorist Neil Leach, is a must-read for all architects and designers – including students of architecture and all design professionals interested in keeping their practice at the cutting edge of technology.
|Author||: Zhi-Hua Zhou|
|Publsiher||: Springer Nature|
|Total Pages||: 459|
Download Machine Learning Book in PDF, Epub and Kindle
Machine Learning, a vital and core area of artificial intelligence (AI), is propelling the AI field ever further and making it one of the most compelling areas of computer science research. This textbook offers a comprehensive and unbiased introduction to almost all aspects of machine learning, from the fundamentals to advanced topics. It consists of 16 chapters divided into three parts: Part 1 (Chapters 1-3) introduces the fundamentals of machine learning, including terminology, basic principles, evaluation, and linear models; Part 2 (Chapters 4-10) presents classic and commonly used machine learning methods, such as decision trees, neural networks, support vector machines, Bayesian classifiers, ensemble methods, clustering, dimension reduction and metric learning; Part 3 (Chapters 11-16) introduces some advanced topics, covering feature selection and sparse learning, computational learning theory, semi-supervised learning, probabilistic graphical models, rule learning, and reinforcement learning. Each chapter includes exercises and further reading, so that readers can explore areas of interest. The book can be used as an undergraduate or postgraduate textbook for computer science, computer engineering, electrical engineering, data science, and related majors. It is also a useful reference resource for researchers and practitioners of machine learning.
|Author||: Terrence J. Sejnowski|
|Publsiher||: MIT Press|
|Total Pages||: 352|
Download The Deep Learning Revolution Book in PDF, Epub and Kindle
How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.
|Author||: Andreas Sudmann|
|Publsiher||: transcript Verlag|
|Total Pages||: 334|
|Genre||: Social Science|
Download The Democratization of Artificial Intelligence Book in PDF, Epub and Kindle
After a long time of neglect, Artificial Intelligence is once again at the center of most of our political, economic, and socio-cultural debates. Recent advances in the field of Artifical Neural Networks have led to a renaissance of dystopian and utopian speculations on an AI-rendered future. Algorithmic technologies are deployed for identifying potential terrorists through vast surveillance networks, for producing sentencing guidelines and recidivism risk profiles in criminal justice systems, for demographic and psychographic targeting of bodies for advertising or propaganda, and more generally for automating the analysis of language, text, and images. Against this background, the aim of this book is to discuss the heterogenous conditions, implications, and effects of modern AI and Internet technologies in terms of their political dimension: What does it mean to critically investigate efforts of net politics in the age of machine learning algorithms?
|Author||: Zakaria Boulouard,Mariyam Ouaissa,Sarah El Himer|
|Publsiher||: Springer Nature|
|Total Pages||: 135|
|Genre||: Artificial intelligence|
Download AI and IoT for Sustainable Development in Emerging Countries Book in PDF, Epub and Kindle
This book comprises a number of state-of-the-art contributions from both scientists and practitioners working in a large pool of fields where AI and IoT can open up new horizons. Artificial intelligence and Internet of Things have introduced themselves today as must-have technologies in almost every sector. Ranging from agriculture to industry and health care, the scope of applications of AI and IoT is as wide as the horizon. Nowadays, these technologies are extensively used in developed countries, but they are still at an early stage in emerging countries. AI and IoT for Sustainable Development in Emerging CountriesChallenges and Opportunities is an invaluable source to dive into the latest applications of AI and IoT and how they have been used by researchers from emerging countries to solve sustainable development-related issues by taking into consideration the specifities of their countries. This book starts by presenting how AI and IoT can tackle the challenges of sustainable development in general and then focuses on the following axes: AI and IoT for smart environment and energy Industry 4.0 and intelligent transportation A vision towards an artificial intelligence of medical things AI, social media, and big data analytics. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in these particular areas or those interested in grasping its diverse facets and exploring the latest advances on their respective fields and the role of AI and IoT in them.
|Author||: Rudolf Kruse,Sanaz Mostaghim,Christian Borgelt,Christian Braune,Matthias Steinbrecher|
|Publsiher||: Springer Nature|
|Total Pages||: 639|
Download Computational Intelligence Book in PDF, Epub and Kindle
This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. This enhanced third edition has been fully revised and expanded with new content on deep learning, scalarization methods, large-scale optimization algorithms, and collective decision-making algorithms. Features: provides supplementary material at an associated website; contains numerous classroom-tested examples and definitions throughout the text; presents useful insights into all that is necessary for the successful application of computational intelligence methods; explains the theoretical background underpinning proposed solutions to common problems; discusses in great detail the classical areas of artificial neural networks, fuzzy systems and evolutionary algorithms; reviews the latest developments in the field, covering such topics as ant colony optimization and probabilistic graphical models.
|Author||: Marie-Jean Meurs,Frank Rudzicz|
|Total Pages||: 627|
Download Advances in Artificial Intelligence Book in PDF, Epub and Kindle
This book constitutes the refereed proceedings of the 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, held in Kingston, ON, Canada, in May 2019. The 27 regular papers and 34 short papers presented together with 8 Graduate Student Symposium papers and 4 Industry Track papers were carefully reviewed and selected from 132 submissions. The focus of the conference was on artificial intelligence research and advanced information and communications technology.