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- Herausgeber: One Billion Knowledgeable
- Kategorie: Wissenschaft und neue Technologien
- Serie: Encyclopedia of Emerging Technologies
- Sprache: Englisch
- Veröffentlichungsjahr: 2021
The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM's Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these things work?
Smart Machines are no longer science-fiction. They are being used by businesses right here and now. And, every day, their capabilities are growing.
So exactly what is a smart machine?
Everything you've always wanted to know about Smart Machines other cognitive computing systems that are able to make decisions and solve problems without human intervention.
By the end of reading this book, you will master the discussion about the following topics in Smart Machines:
01 - The Rise of Smart Machines: Smart Machines are built on top of the breakthroughs in computer science. the advent of computers in the 20th century laid the modern groundwork for Smart Machines. Researchers, analysts and technology leaders agree that Smart Machines will change our lives
02 - Smart Machines definitions: Why did Smart Machines emerge now and not later? General-purpose technology (GPT) is an economics term for innovation. Smart Machines are devices that can teach themselves how to do things. Smart Machines are built on top of existing technologies. The surge of progress in machine learning thanks to big data.
03 - Artificial intelligence of Smart Machines: Defense Advanced Research Projects Agency (DARPA) Projects.
04- Cognitive computing of Smart Machines: This categorization of Cognitive Computing and the discussion of the types of applications. Cognitive technologies are very good at analyzing large amounts of data and identifying anomalies.
05 - The real-world examples of Smart Machines: From DeepBlue to Watson.
06 - Smart Machine technologies: Smart Dust, Virtual Personal Assistants, Smart Data Discovery, Smart Workspace, Conversational User Interfaces, Smart Robots, Commercial UAVs (Drones), Autonomous Vehicles: Autonomous Vehicles.
07 - Smart Machines go to school to learn:Central to machine learning is the process of feeding training data into a mathematical prediction model. The outlier cases are the best chances for learning
08 - Smart Machines are wiser and smarter every day: Future machine learning, and the large increase in available data and the rise of crowdsourcing
09 - Smart Machines speak multi-languages: One particularly complex problem facing machine translation today is dealing with rare languages
10 - Artificial Intelligence Levels: Support for Humans, Repetitive Task Automation, Context Knowledge and Learning, Self-awareness.
11 - Cognitive Task Types: Analyzing Numbers, Words and Images Analysis, Performing Digital Tasks, Performing Physical tasks
12 - The Great Convergence: The approach of key vendors to achieve the great convergence. The attributes of cognitive architecture. People will continue to have advantages over even the smartest machines.
13 - Smart robotics from vision to reality: Simultaneous Localization and Mapping. Funding the robotics projects. Robots navigate on planets. Developing robots for government and consumer-oriented applications. Robots in Japan. Robots Deployment. Social acceptance of robots.
14 - The business benefits of Smart Machines: Smart Machines will change the way work. The use of Smart Machines in information technology.
15 - Smart Machines are efficient: what do we really mean by machines replacing jobs?
16 - Smart Machines raise challenging questions: The impact of Smart Machines on labor market. machines get smarter and more independent, and may not to our advantage.
17 - The future of Smart Machines: The growing role of industry labs and federal agencies. The advance of Smart Machines cannot be stopped so we must be ready for it.
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One Billion Knowledgeable
Smart Machines
From Vision to Reality
Fouad Sabry
Smart Machines Copyright © 2021 by Fouad Sabry. All Rights Reserved.
All rights reserved. No part of this book may be reproduced in any form or by any electronic or mechanical means including information storage and retrieval systems, without permission in writing from the author. The only exception is by a reviewer, who may quote short excerpts in a review.
Cover designed by Fouad Sabry.
This book is a work of fiction. Names, characters, places, and incidents either are products of the author’s imagination or are used fictitiously. Any resemblance to actual persons, living or dead, events, or locales is entirely coincidental.
Fouad SabryVisit my website at
https://www.1BKOfficial.org
Dedication
To the enlightened, the ones who see things differently, and want the world to be better -- they are not fond of the status quo or the existing state ... You can disagree with them too much, and you can argue with them even more, but you cannot ignore them, and you cannot underestimate them, because they always change things... they push the human race forward, and while some may see them as the crazy ones or amateur, others see genius and innovators, because the ones who are enlightened enough to think that they can change the world, are the ones who do, and lead the people to the enlightenment…
Epigraph
“The human brain is a marvel. A mere 20 watts of energy are required to power the 22 billion neurons in a brain that is roughly the size of a grapefruit. To field a conventional computer with comparable cognitive capacity would require gigawatts of electricity and a machine the size of a football field.”― John E. Kelly III, smart Machines: IBM's Watson and the Era of Cognitive Computing
Table of Contents
Smart Machines
Dedication
Epigraph
Table of Contents
Chapter 1: The rise of smart machines
Smart machines are built on top of the breakthroughs in computer science
The advent of computers in the 20th century laid the modern groundwork for smart machines.
Researchers, analysts and technology leaders agree that smart machines will change our lives
Chapter 2: Smart machines definitions
Why did smart machines emerge now and not later?
General-purpose technology (GPT) is an economics term for innovation
Smart machines are devices that can teach themselves how to do things
Smart machines are built on top of existing technologies
The surge of progress in machine learning thanks to big data
Chapter 3: Artificial intelligence of smart machines
DEFENSE Advanced Research Projects Agency (DARPA) Projects
Chapter 4: Cognitive computing of smart machines
This categorization of Cognitive Computing and the discussion of the types of applications
Cognitive technologies are very good at analyzing large amounts of data and identifying anomalies
Chapter 5: The real-world examples of smart machines
smart machine technologies
Chapter 6: Smart machines go to school to learn
Central to machine learning is the process of feeding training data into a mathematical prediction model
The outlier cases are the best chances for learning
Chapter 7: Smart machines are wiser and smarter every day
Future machine learning, and the large increase in available data and the rise of crowdsourcing
Chapter 8: Smart machines speak multilanguage
One particularly complex problem facing machine translation today is dealing with rare languages
Chapter 9: Artificial Intelligence Levels
Chapter 10: Cognitive Task Types
Chapter 11: The Great Convergence
The approach of key vendors to achieve the great convergence
The attributes of cognitive architecture
People will continue to have advantages over even the smartest machines
Chapter 12: Smart robotics from vision to reality
Simultaneous Localization and Mapping
Funding the robotics projects
Robots navigate on planets
Developing robots for government and consumer-oriented applications
Robots in Japan
Robots Deployment
Social acceptance of robots
Chapter 13: The business benefits of smart machines
Smart machines will change the way work
The use of smart machines in information technology
Business Leaders Preparation for the future of smart machines
Chapter 14: Smart machines are efficient
what do we really mean by machines replacing jobs?
Chapter 15: Smart machines raise challenging questions
The impact of smart machines on labor market
machines get smarter and more independent, and may not to our advantage
Chapter 16: The future of smart machines
The growing role of industry labs and federal agencies
The advance of smart machines cannot be stopped so we must be ready for it
we have to stop dreading the rise of smart machines
One Billion Knowledgeable
About The AUTHOR
Bio
Where to Find the Author Online
Other books from the same author
Chapter 1: The rise of smart machines
What was considered to be science fiction a few years ago is quickly becoming a reality today.
Smart phones, augmented reality glasses, virtual assistants who can understand speech, and now we are on the verge of driverless vehicles. Do you have any doubt that the future is here, who would have thought that would happen? Not long ago, analysts thought that these capabilities would only appear in the near future. However, in recent years, significant new developments in artificial intelligence and machine learning have changed fundamental ideas about what machines can and cannot do.
Do you have any doubt that the future is here, who would have thought that would happen? Not long ago, analysts thought that these capabilities would only appear in the near future.
Ancient and modern computers are instruments that fulfil our needs. For thousands of years, they have carried out a wide range of activities, from producing goods to moving people around us, helping us to decipher the natural environment, simply entertaining us. Machines can fight, defend, heal, and teach us. But what they have not been able to do until very recently is to learn, make decisions, and act on their own.
Intelligent computers are everywhere today. From the Netflix recommendation engine to Google Translate to Apple's Siri voice-recognition framework, artificial intelligence has become sufficiently accurate, efficient, and useful to find its way through a wide variety of devices and applications.
But what they have not been able to do until quite recently is to learn, make decisions, and act on their own.
Self-driving cars are on the streets, an algorithm brings you movies and TV tips, Watson, from IBM, won a show called "Jeopardy," over human brains, computer programs can be taught to play Atari games.
But how are all these things working?
Smart machines are built on top of the breakthroughs in computer science
Such as artificial intelligence, cognitive computing, deep learning, and machine learning that have made today's computers so smart and capable of perceiving and communicating with the world. Smart machines technology that helps self-driving vehicles to stay on the road and navigate crowded urban environments; and enables programmers to teach computers to perform such behaviors by giving them therapies as if they were training a dog.
Encourages programmers to train computers to perform certain behaviors by offering them treats, as if they were training a dog.
Artificial neural networks make it possible for computers to view the environment—and to play Atari video games better than humans, featuring Watson's famous Jeopardy win, and he looks at how computers play games and beat world champions in chess strategy games. Computers have not yet mastered anything, however; there are still difficulties in designing intelligent agents that can effectively play military strategy games—at least for now.
Computers have not yet mastered everything, however; still there are difficulties in creating intelligent agents that can successfully play military strategy games —at least for now.
These innovations have taken off in tandem with a drastic increase in the volume and sophistication of the data, which provides a fertile teaching ground from which machines can learn to make intelligent decisions on their own.
