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Simply AI : facts made fast / contributor, Dr. Claire Quigley.

Contributor(s): Material type: TextTextSeries: Simply (DK Publishing, Inc.)Publisher: New York, NY : DK Publishing, 2024Copyright date: ©2024Edition: Second edition; American editionDescription: 160 pages : color illustrations ; 22 cmContent type:
  • text
  • still image
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780593847053
  • 0593847059
Other title:
  • AI
  • Artificial intelligence
Uniform titles:
  • Simply artificial intelligence
Subject(s):
Contents:
Introduction -- History of artificial intelligence. An imitation of life -- Defining intelligence -- Thinking=computing -- Zeros and ones -- Ste by step -- Algorithms in action -- Instructing computers -- The first mechanical computers -- A mechanical computers -- A theoretical computer -- An electric brain -- Artificial neurons -- A programmable computer -- A theoretical program -- A computing blueprint -- Two kinds of AI -- AI in action -- Trial and error -- Mimicking the brain -- AI models -- Computing power -- Raw information -- Everything, everywhere, all of the time -- Classical artificial intelligence. Representing data. Following the rules -- What, when, why, and how? -- Presenting knowledge -- If this, then that -- The shortest route -- Imperfect solutions -- Performing a task -- Dealing with uncertainty -- Automated advice -- Handling 'messy' data -- Neats vs. scruffies -- Statistical artificial intelligence. Teaching AIs to think -- Gaining insight from data -- Teaching materials -- Giving data meaning -- Looking for patterns -- Yes or no? -- Types of data -- The line of best fit -- Grouping data -- The odd one out -- The most likely outcome? -- Machine learning with 'labeled' data -- Learning from feedback -- Working together -- The AI brain -- Network structure -- Assigning importance -- Goals and thresholds -- Measuring success -- Improving performance -- Refining the model -- A one-way network -- Fine-tuning data -- Structured data -- Building a brain -- AI vs. AI -- Processing visual data -- Using artificial intelligence. Using artificial intelligence. Uses of AI -- Ranking -- Recommending -- Detecting threats -- Online attacks -- Detecting fraud -- AI in finance -- Unraveling proteins -- Searching for planets -- Digital doctors -- Monitoring health -- Internet of things -- Smart devices -- Monitoring systems -- 'Smart farming -- Sensory AI -- Processing sound -- Mimicking sight -- Facial recognition -- Understanding words -- AI interpreters -- Talking with AI -- AI writers -- AI helpers -- AI artists -- Intelligent robots -- AI companions -- Movement and mobility -- Manual dexterity -- Driverless cars -- AI and warfare -- Philosophy of artificial intelligence. Humanlike AI -- The point of no return -- Where is consciousness? -- Do submarines swim? -- The imitation game -- Intelligence metrics -- Machines and understanding -- Philosophical zombies -- A new kind of person -- Replicating the mind -- Transparent thinking -- Living with artificial intelligence. Myth or reality? -- Powered by exploitation? -- Garbage in, garbage out -- Prejudiced outcomes -- Making assumptions -- Transparent processing -- An AI workforce -- The AI balance -- An echo chamber -- The limits of control -- Right vs. wrong -- Built-in ethics -- Who is to blame? -- What should we allow? -- Existential risks -- Unlimited rewards.
Summary: Covering a broad range of fields within AI - from computing and mathematics to politics and philosophy - entries demystify what artificial intelligence is and how it works, how it has dramatically changed how we live, and how it might evolve in the future. Everyone is talking about AI, but this book helps to explain each individual aspect of AI more clearly than ever before.
Holdings
Item type Home library Collection Shelving location Call number Materials specified Status Date due Barcode Item holds
Adult Book Adult Book Dr. James Carlson Library NonFiction New 006.3 S612 Available 33111011467855
Adult Book Adult Book Main Library NonFiction New 006.3 S612 Checked out 06/10/2024 33111011347560
Total holds: 0

Enhanced descriptions from Syndetics:

Combining clear labeled imagery with easy-to-understand text, this new edition of Simply Artificial Intelligence is the perfect introduction to the latest developments in AI, including ChatGPT and the Internet of Things.

Covering a broad range of fields within AI - from computing and mathematics to politics and philosophy - entries demystify what artificial intelligence is and how it works, how it has dramatically changed how we live, and how it might evolve in the future. Everyone is talking about AI, but this book helps to explain each individual aspect of AI more clearly than ever before.

This AI book:

-Outlines the key building blocks and technological milestones in its history, profiles its most important practical applications - both current and predicted

-Explores the ethical debates around AI and its increasing influence on culture and society.

-Provides an accessible, reader-friendly guide with detailed imagery and annotated illustrations, expert insights, and jargon-free text

-Studies and experiments such as The Turing Test and The Chinese Room experiment

This book is part of the Simply Series, which includes books such as Simply Astronomy, Simply Psychology, Simply Maths , and more. Whether you are studying science or AI-related subjects at school or college or simply want a jargon-free overview of this increasingly important subject, this essential guide is packed with everything you need to understand the basics quickly and easily.

Includes index.

Introduction -- History of artificial intelligence. An imitation of life -- Defining intelligence -- Thinking=computing -- Zeros and ones -- Ste by step -- Algorithms in action -- Instructing computers -- The first mechanical computers -- A mechanical computers -- A theoretical computer -- An electric brain -- Artificial neurons -- A programmable computer -- A theoretical program -- A computing blueprint -- Two kinds of AI -- AI in action -- Trial and error -- Mimicking the brain -- AI models -- Computing power -- Raw information -- Everything, everywhere, all of the time -- Classical artificial intelligence. Representing data. Following the rules -- What, when, why, and how? -- Presenting knowledge -- If this, then that -- The shortest route -- Imperfect solutions -- Performing a task -- Dealing with uncertainty -- Automated advice -- Handling 'messy' data -- Neats vs. scruffies -- Statistical artificial intelligence. Teaching AIs to think -- Gaining insight from data -- Teaching materials -- Giving data meaning -- Looking for patterns -- Yes or no? -- Types of data -- The line of best fit -- Grouping data -- The odd one out -- The most likely outcome? -- Machine learning with 'labeled' data -- Learning from feedback -- Working together -- The AI brain -- Network structure -- Assigning importance -- Goals and thresholds -- Measuring success -- Improving performance -- Refining the model -- A one-way network -- Fine-tuning data -- Structured data -- Building a brain -- AI vs. AI -- Processing visual data -- Using artificial intelligence. Using artificial intelligence. Uses of AI -- Ranking -- Recommending -- Detecting threats -- Online attacks -- Detecting fraud -- AI in finance -- Unraveling proteins -- Searching for planets -- Digital doctors -- Monitoring health -- Internet of things -- Smart devices -- Monitoring systems -- 'Smart farming -- Sensory AI -- Processing sound -- Mimicking sight -- Facial recognition -- Understanding words -- AI interpreters -- Talking with AI -- AI writers -- AI helpers -- AI artists -- Intelligent robots -- AI companions -- Movement and mobility -- Manual dexterity -- Driverless cars -- AI and warfare -- Philosophy of artificial intelligence. Humanlike AI -- The point of no return -- Where is consciousness? -- Do submarines swim? -- The imitation game -- Intelligence metrics -- Machines and understanding -- Philosophical zombies -- A new kind of person -- Replicating the mind -- Transparent thinking -- Living with artificial intelligence. Myth or reality? -- Powered by exploitation? -- Garbage in, garbage out -- Prejudiced outcomes -- Making assumptions -- Transparent processing -- An AI workforce -- The AI balance -- An echo chamber -- The limits of control -- Right vs. wrong -- Built-in ethics -- Who is to blame? -- What should we allow? -- Existential risks -- Unlimited rewards.

Covering a broad range of fields within AI - from computing and mathematics to politics and philosophy - entries demystify what artificial intelligence is and how it works, how it has dramatically changed how we live, and how it might evolve in the future. Everyone is talking about AI, but this book helps to explain each individual aspect of AI more clearly than ever before.

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