Machine Intelligence

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A Human's Guide to Machine Intelligence

Author : Kartik Hosanagar
Publisher : Penguin
Page : 274 pages
File Size : 49,9 Mb
Release : 2019-03-12
Category : Business & Economics
ISBN : 9780525560890

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A Human's Guide to Machine Intelligence by Kartik Hosanagar Pdf

A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence.

Human-Like Machine Intelligence

Author : Stephen Muggleton,Nicholas Chater
Publisher : Oxford University Press
Page : 533 pages
File Size : 45,7 Mb
Release : 2021
Category : Computers
ISBN : 9780198862536

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Human-Like Machine Intelligence by Stephen Muggleton,Nicholas Chater Pdf

This book, authored by an array of internationally recognised researchers, is of direct relevance to all those involved in Academia and Industry wanting to obtain insights into the topics at the forefront of the revolution in Artificial Intelligence and Cognitive Science.

The Sentient Machine

Author : Amir Husain
Publisher : Simon and Schuster
Page : 224 pages
File Size : 46,7 Mb
Release : 2017-11-21
Category : Computers
ISBN : 9781501144677

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The Sentient Machine by Amir Husain Pdf

Explores universal questions about humanity's capacity for living and thriving in the coming age of sentient machines and AI, examining debates from opposing perspectives while discussing emerging intellectual diversity and its potential role in enabling a positive life.

Deep Thinking

Author : Garry Kasparov
Publisher : PublicAffairs
Page : 304 pages
File Size : 55,9 Mb
Release : 2017-05-02
Category : Computers
ISBN : 9781610397872

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Deep Thinking by Garry Kasparov Pdf

Garry Kasparov's 1997 chess match against the IBM supercomputer Deep Blue was a watershed moment in the history of technology. It was the dawn of a new era in artificial intelligence: a machine capable of beating the reigning human champion at this most cerebral game. That moment was more than a century in the making, and in this breakthrough book, Kasparov reveals his astonishing side of the story for the first time. He describes how it felt to strategize against an implacable, untiring opponent with the whole world watching, and recounts the history of machine intelligence through the microcosm of chess, considered by generations of scientific pioneers to be a key to unlocking the secrets of human and machine cognition. Kasparov uses his unrivaled experience to look into the future of intelligent machines and sees it bright with possibility. As many critics decry artificial intelligence as a menace, particularly to human jobs, Kasparov shows how humanity can rise to new heights with the help of our most extraordinary creations, rather than fear them. Deep Thinking is a tightly argued case for technological progress, from the man who stood at its precipice with his own career at stake.

Artificial Intelligence By Example

Author : Denis Rothman
Publisher : Packt Publishing Ltd
Page : 579 pages
File Size : 50,6 Mb
Release : 2020-02-28
Category : Computers
ISBN : 9781839212819

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Artificial Intelligence By Example by Denis Rothman Pdf

Understand the fundamentals and develop your own AI solutions in this updated edition packed with many new examples Key FeaturesAI-based examples to guide you in designing and implementing machine intelligenceBuild machine intelligence from scratch using artificial intelligence examplesDevelop machine intelligence from scratch using real artificial intelligenceBook Description AI has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples. This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer programs such as a simple chess engine to cognitive chatbots, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and Internet of Things (IoT), and develop emotional quotient in chatbots using neural networks such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs). This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing. By the end of this book, you will understand the fundamentals of AI and have worked through a number of examples that will help you develop your AI solutions. What you will learnApply k-nearest neighbors (KNN) to language translations and explore the opportunities in Google TranslateUnderstand chained algorithms combining unsupervised learning with decision treesSolve the XOR problem with feedforward neural networks (FNN) and build its architecture to represent a data flow graphLearn about meta learning models with hybrid neural networksCreate a chatbot and optimize its emotional intelligence deficiencies with tools such as Small Talk and data loggingBuilding conversational user interfaces (CUI) for chatbotsWriting genetic algorithms that optimize deep learning neural networksBuild quantum computing circuitsWho this book is for Developers and those interested in AI, who want to understand the fundamentals of Artificial Intelligence and implement them practically. Prior experience with Python programming and statistical knowledge is essential to make the most out of this book.

Algorithmic Governance and Governance of Algorithms

Author : Martin Ebers,Marta Cantero Gamito
Publisher : Springer Nature
Page : 174 pages
File Size : 52,9 Mb
Release : 2020-10-08
Category : Law
ISBN : 9783030505592

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Algorithmic Governance and Governance of Algorithms by Martin Ebers,Marta Cantero Gamito Pdf

Algorithms are now widely employed to make decisions that have increasingly far-reaching impacts on individuals and society as a whole (“algorithmic governance”), which could potentially lead to manipulation, biases, censorship, social discrimination, violations of privacy, property rights, and more. This has sparked a global debate on how to regulate AI and robotics (“governance of algorithms”). This book discusses both of these key aspects: the impact of algorithms, and the possibilities for future regulation.

Super-Intelligent Machines

Author : Bill Hibbard
Publisher : Springer Science & Business Media
Page : 221 pages
File Size : 46,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461507598

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Super-Intelligent Machines by Bill Hibbard Pdf

Super-Intelligent Machines combines neuroscience and computer science to analyze future intelligent machines. It describes how they will mimic the learning structures of human brains to serve billions of people via the network, and the superior level of consciousness this will give them. Whereas human learning is reinforced by self-interests, this book describes the selfless and compassionate values that must drive machine learning in order to protect human society. Technology will change life much more in the twenty-first century than it has in the twentieth, and Super-Intelligent Machines explains how that can be an advantage.

Artificial Intelligence By Example

Author : Denis Rothman
Publisher : Packt Publishing Ltd
Page : 476 pages
File Size : 50,6 Mb
Release : 2018-05-31
Category : Computers
ISBN : 9781788990028

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Artificial Intelligence By Example by Denis Rothman Pdf

Be an adaptive thinker that leads the way to Artificial Intelligence Key Features AI-based examples to guide you in designing and implementing machine intelligence Develop your own method for future AI solutions Acquire advanced AI, machine learning, and deep learning design skills Book Description Artificial Intelligence has the potential to replicate humans in every field. This book serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies. Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks. You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own. By the end of this book, will have understood the fundamentals of AI and worked through a number of case studies that will help you develop business vision. What you will learn Use adaptive thinking to solve real-life AI case studies Rise beyond being a modern-day factory code worker Acquire advanced AI, machine learning, and deep learning designing skills Learn about cognitive NLP chatbots, quantum computing, and IoT and blockchain technology Understand future AI solutions and adapt quickly to them Develop out-of-the-box thinking to face any challenge the market presents Who this book is for Artificial Intelligence by Example is a simple, explanatory, and descriptive guide for junior developers, experienced developers, technology consultants, and those interested in AI who want to understand the fundamentals of Artificial Intelligence and implement it practically by devising smart solutions. Prior experience with Python and statistical knowledge is essential to make the most out of this book.

Machine Intelligence

Author : Andy Clark,Josefa Toribio
Publisher : Routledge
Page : 308 pages
File Size : 52,9 Mb
Release : 1998
Category : Computers
ISBN : 9780815327684

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Machine Intelligence by Andy Clark,Josefa Toribio Pdf

This volume traces the modern critical and performance history of this play, one of Shakespeare's most-loved and most-performed comedies. The essay focus on such modern concerns as feminism, deconstruction, textual theory, and queer theory.

Machine Intelligence and Signal Analysis

Author : M. Tanveer,Ram Bilas Pachori
Publisher : Springer
Page : 767 pages
File Size : 48,7 Mb
Release : 2018-08-07
Category : Technology & Engineering
ISBN : 9789811309236

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Machine Intelligence and Signal Analysis by M. Tanveer,Ram Bilas Pachori Pdf

The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.

Machine Intelligence and Data Science Applications

Author : Vaclav Skala,T. P. Singh,Tanupriya Choudhury,Ravi Tomar,Md. Abul Bashar
Publisher : Springer Nature
Page : 909 pages
File Size : 41,6 Mb
Release : 2022-08-01
Category : Technology & Engineering
ISBN : 9789811923470

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Machine Intelligence and Data Science Applications by Vaclav Skala,T. P. Singh,Tanupriya Choudhury,Ravi Tomar,Md. Abul Bashar Pdf

This book is a compilation of peer reviewed papers presented at International Conference on Machine Intelligence and Data Science Applications (MIDAS 2021), held in Comilla University, Cumilla, Bangladesh during 26 – 27 December 2021. The book covers applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, speech and gesture analysis, etc. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber physical system and smart agriculture, etc. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.

Artificial Intelligence

Author : Stephanie Sammartino McPherson
Publisher : Twenty-First Century Books
Page : 108 pages
File Size : 45,8 Mb
Release : 2018
Category : Artificial intelligence
ISBN : 9781512418262

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Artificial Intelligence by Stephanie Sammartino McPherson Pdf

"Artificial intelligence promises to make our lives easier and better. Learn about the accelerated pace of technology as things that were once science fiction become science fact"--

The Promise of Artificial Intelligence

Author : Brian Cantwell Smith
Publisher : MIT Press
Page : 179 pages
File Size : 42,8 Mb
Release : 2019-10-08
Category : Computers
ISBN : 9780262355216

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The Promise of Artificial Intelligence by Brian Cantwell Smith Pdf

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 order than even the most powerful calculative ability enabled by new computational capacities. Smith calls this AI ability “reckoning,” and argues that it does not lead to full human judgment—dispassionate, deliberative thought grounded in ethical commitment and responsible action. Taking judgment as the ultimate goal of intelligence, Smith examines the history of AI from its first-wave origins (“good old-fashioned AI,” or GOFAI) to such celebrated second-wave approaches as machine learning, paying particular attention to recent advances that have led to excitement, anxiety, and debate. He considers each AI technology's underlying assumptions, the conceptions of intelligence targeted at each stage, and the successes achieved so far. Smith unpacks the notion of intelligence itself—what sort humans have, and what sort AI aims at. Smith worries that, impressed by AI's reckoning prowess, we will shift our expectations of human intelligence. What we should do, he argues, is learn to use AI for the reckoning tasks at which it excels while we strengthen our commitment to judgment, ethics, and the world.

Artificial Intelligence

Author : Stuart Russell,Peter Norvig
Publisher : Createspace Independent Publishing Platform
Page : 626 pages
File Size : 53,6 Mb
Release : 2016-09-10
Category : Electronic
ISBN : 1537600311

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Artificial Intelligence by Stuart Russell,Peter Norvig Pdf

Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.

BASICS OF ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

Author : Dr Dheeraj Mehrotra
Publisher : Notion Press
Page : 78 pages
File Size : 49,7 Mb
Release : 2019-06-03
Category : Computers
ISBN : 9781645872832

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BASICS OF ARTIFICIAL INTELLIGENCE & MACHINE LEARNING by Dr Dheeraj Mehrotra Pdf

The concept of Artificial Intelligence (AI) & Machine Learning (ML) has been in practice for over years with the advent of technological progress. Over time, it has blended our lives through nearly every narration of learning, teaching, enjoyment, normal routine operations and what not. The aspect delivers a common understanding of the topics with reference to it making an impact on our lives, with a better framework of technology affecting our lives in particular. Let us look up to science for a change to be brought about in us. Let us create awareness of making technology available to people, in a broader sense. As that happens, people who are responsible need to be told about the use and misuse of the same. As we lead our lives, we come across the fact that AI, Robotics and Learning Machines seem to be the household topic of discussion. Earlier, AI was perceived to be reserved for only ‘Geniuses’ or ‘Researchers’ or the ‘computer’ community, but it very aptly integrates and impacts each and every aspect of our lives. Knowingly or unknowingly, it has become intellectually influential in shaping our thoughts, actions and the day-to-day chores.