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| 010 | _a 2024409406 | ||
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_a9780593847053 _qhardcover |
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_a0593847059 _qhardcover |
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| 050 | 0 | 0 |
_aQ335 _b.S56 2024 |
| 082 | 0 | 4 |
_a006.3 _223 |
| 245 | 0 | 0 |
_aSimply AI : _bfacts made fast / _cHilary Lamb, consultant; Claire Quigley, contributor |
| 246 | 1 | _aAI | |
| 246 | 1 | _aArtificial intelligence | |
| 250 | _aSecond edition. | ||
| 250 | _aAmerican edition. | ||
| 264 | 1 |
_aNew York, NY : _bDK Publishing, a division of Penguin Random House LLC, _c2024. |
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| 264 | 4 | _c♭2024 | |
| 300 |
_a160 pages : _bcolor illustrations ; _c22 cm. |
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| 336 |
_atext _btxt |
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| 336 |
_astill image _bsti |
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| 337 |
_aunmediated _bn |
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| 338 |
_avolume _bnc |
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| 340 | _0http://id.loc.gov/vocabulary/millus/ill | ||
| 385 | _0http://id.loc.gov/vocabulary/maudience/adu | ||
| 490 | 0 | _aSimply | |
| 500 | _aIncludes index. | ||
| 500 | _a"Previously printed as Simply Artificial Intelligence"--Cover. | ||
| 505 | 0 | _aIntroduction -- 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. | |
| 520 | _aCovering 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. | ||
| 650 | 0 |
_aArtificial intelligence _955040 |
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| 650 | 0 |
_aComputational intelligence _9300711 |
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| 700 |
_aLamb, Hilary. _econsultant _9302497 |
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| 700 |
_aLevy, Joel _econsultant _9246097 |
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| 700 |
_aQuiqley, Claire. _econtributor _9302498 |
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| 830 |
_aSimply (DK Publishing, Inc.) _9302499 |
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| 884 |
_aDLC bibframe2marc v2.9.0 _g20250219180900.0 _qDLC _uhttps://github.com/lcnetdev/bibframe2marc/releases/tag/v2.9.0 |
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