Artificial Intelligence in the Age of Neural Networks and Brain Computing

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

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  • Author : Robert Kozma
  • Publisher : Academic Press
  • Pages : 352 pages
  • ISBN : 0128162503
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKArtificial Intelligence in the Age of Neural Networks and Brain Computing

Artificial Intelligence in the Age of Neural Networks and Brain Computing

Artificial Intelligence in the Age of Neural Networks and Brain Computing
  • Author : Robert Kozma,Cesare Alippi,Yoonsuck Choe,Francesco Carlo Morabito
  • Publisher : Academic Press
  • Release : 30 October 2018
GET THIS BOOKArtificial Intelligence in the Age of Neural Networks and Brain Computing

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

Parallel Computing: Technology Trends

Parallel Computing: Technology Trends
  • Author : I. Foster,G.R. Joubert,L. Kučera
  • Publisher : IOS Press
  • Release : 25 March 2020
GET THIS BOOKParallel Computing: Technology Trends

The year 2019 marked four decades of cluster computing, a history that began in 1979 when the first cluster systems using Components Off The Shelf (COTS) became operational. This achievement resulted in a rapidly growing interest in affordable parallel computing for solving compute intensive and large scale problems. It also directly lead to the founding of the Parco conference series. Starting in 1983, the International Conference on Parallel Computing, ParCo, has long been a leading venue for discussions of important developments, applications, and

The Computational Brain

The Computational Brain
  • Author : Patricia Smith Churchland,Terrence Joseph Sejnowski
  • Publisher : MIT Press
  • Release : 11 April 1994
GET THIS BOOKThe Computational Brain

"The Computational Brain addresses a broad audience: neuroscientists, computer scientists, cognitive scientists, and philosophers. It is written for both the expert and novice. A basic overview of neuroscience and computational theory is provided, followed by a study of some of the most recent and sophisticated modeling work in the context of relevant neurobiological research. Technical terms are clearly explained in the text, and definitions are provided in an extensive glossary. The appendix contains a précis of neurobiological techniques."--Jacket.

Competing in the Age of AI

Competing in the Age of AI
  • Author : Marco Iansiti,Karim R. Lakhani
  • Publisher : Harvard Business Press
  • Release : 07 January 2020
GET THIS BOOKCompeting in the Age of AI

"a provocative new book" -- The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive

The Age of Spiritual Machines

The Age of Spiritual Machines
  • Author : Ray Kurzweil
  • Publisher : Penguin
  • Release : 01 January 2000
GET THIS BOOKThe Age of Spiritual Machines

Ray Kurzweil is the inventor of the most innovative and compelling technology of our era, an international authority on artificial intelligence, and one of our greatest living visionaries. Now he offers a framework for envisioning the twenty-first century--an age in which the marriage of human sensitivity and artificial intelligence fundamentally alters and improves the way we live. Kurzweil's prophetic blueprint for the future takes us through the advances that inexorably result in computers exceeding the memory capacity and computational ability

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence
  • Author : Nikola K. Kasabov
  • Publisher : Springer
  • Release : 29 August 2018
GET THIS BOOKTime-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI

AI in the Wild

AI in the Wild
  • Author : Peter Dauvergne
  • Publisher : Unknown Publisher
  • Release : 11 April 2021
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"The first book to analyze the consequences of the political economy of artificial intelligence for global sustainability"--

The Promise of Artificial Intelligence

The Promise of Artificial Intelligence
  • Author : Brian Cantwell Smith
  • Publisher : MIT Press
  • Release : 08 October 2019
GET THIS BOOKThe Promise of Artificial Intelligence

An argument that—despite dramatic advances in the field—artificial intelligence is nowhere near developing systems that are genuinely intelligent. In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere near developing systems that are genuinely intelligent. Second wave AI, machine learning, even visions of third-wave AI: none will lead to human-level intelligence and judgment, which have been honed over millennia. Recent advances in AI may be of epochal significance, but human intelligence is of a different

Artificial Intelligence and Economic Theory: Skynet in the Market

Artificial Intelligence and Economic Theory: Skynet in the Market
  • Author : Tshilidzi Marwala,Evan Hurwitz
  • Publisher : Springer
  • Release : 18 September 2017
GET THIS BOOKArtificial Intelligence and Economic Theory: Skynet in the Market

This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behavioral economics, information asymmetry, pricing, efficient market hypothesis, game theory, mechanism design, portfolio theory, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence concepts such as the swarming

Advances in Computational Intelligence

Advances in Computational Intelligence
  • Author : Ignacio Rojas,Gonzalo Joya,Andreu Catala
  • Publisher : Springer
  • Release : 15 July 2019
GET THIS BOOKAdvances in Computational Intelligence

This two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, held at Gran Canaria, Spain, in June 2019. The 150 revised full papers presented in this two-volume set were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on machine learning in weather observation and forecasting; computational intelligence methods for time series; human activity recognition; new and future tendencies in brain-computer interface systems; random-weights neural networks; pattern recognition;

Hands-On Artificial Intelligence for Beginners

Hands-On Artificial Intelligence for Beginners
  • Author : Patrick D. Smith
  • Publisher : Packt Publishing Ltd
  • Release : 31 October 2018
GET THIS BOOKHands-On Artificial Intelligence for Beginners

Grasp the fundamentals of Artificial Intelligence and build your own intelligent systems with ease Key Features Enter the world of AI with the help of solid concepts and real-world use cases Explore AI components to build real-world automated intelligence Become well versed with machine learning and deep learning concepts Book Description Virtual Assistants, such as Alexa and Siri, process our requests, Google's cars have started to read addresses, and Amazon's prices and Netflix's recommended videos are decided by AI. Artificial

Fuzzy And Neural Approaches in Engineering

Fuzzy And Neural Approaches in Engineering
  • Author : Lefteri H. Tsoukalas,Robert E. Uhrig
  • Publisher : Wiley-Interscience
  • Release : 05 February 1997
GET THIS BOOKFuzzy And Neural Approaches in Engineering

Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. This definitive book presents the fundamentals of both technologies, and demonstrates how to combine the unique capabilities of these two technologies for the greatest advantage. Steering clear of unnecessary mathematics, the book highlights a wide range of dynamic possibilities and offers numerous examples to illuminate key concepts. It also explores the value of relating genetic algorithms and expert systems to fuzzy and neural technologies.