Artificial Intelligence
eBook - ePub

Artificial Intelligence

An Introduction to the Big Ideas and their Development

  1. 338 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence

An Introduction to the Big Ideas and their Development

About this book

Artificial Intelligence: An Introduction to Big Ideas and their Development, Second Edition guides readers through the history and development of artificial intelligence (AI), from its early mathematical beginnings through to the exciting possibilities of its potential future applications. To make this journey as accessible as possible, the authors build their narrative around accounts of some of the more popular and well-known demonstrations of artificial intelligence, including Deep Blue, AlphaGo and even Texas Hold'em, followed by their historical background, so that AI can be seen as a natural development of the mathematics and computer science of AI. As the book proceeds, more technical descriptions are presented at a pace that should be suitable for all levels of readers, gradually building a broad and reasonably deep understanding and appreciation for the basic mathematics, physics, and computer science that is rapidly developing artificial intelligence as it is today. Features

  • Only mathematical prerequisite is an elementary knowledge of calculus.
  • Accessible to anyone with an interest in AI and its mathematics and computer science.
  • Suitable as a supplementary reading for a course in AI or the History of Mathematics and Computer Science in regard to artificial intelligence.

New to the Second Edition

  • Fully revised and corrected throughout to bring the material up-to-date.
  • Greater technical detail and exploration of basic mathematical concepts, while retaining the simplicity of explanation of the first edition.
  • Entirely new chapters on large language models (LLMs), ChatGPT, and quantum computing.

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Yes, you can access Artificial Intelligence by Robert H. Chen,Chelsea Chen in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Preface to the Second Edition
  8. Preface to the First Edition
  9. Prologue
  10. About the Authors
  11. CHAPTER 1 • Computing Hardware
  12. CHAPTER 2 • The Integrated Circuit
  13. CHAPTER 3 • Software
  14. CHAPTER 4 • Open-Source Software
  15. CHAPTER 5 • Expert Systems
  16. CHAPTER 6 • Inverted Decision Trees
  17. CHAPTER 7 • Deep Blue
  18. CHAPTER 8 • Jeopardy and Miss Debater
  19. CHAPTER 9 • The Perceptron
  20. CHAPTER 10 • Parameterization
  21. CHAPTER 11 • Gradient Descent and Backpropagation
  22. CHAPTER 12 • The Cross-Entropy Cost Function
  23. CHAPTER 13 • Convolutional Neural Networks
  24. CHAPTER 14 • Imagenet and Model Fitting
  25. CHAPTER 15 • Markov Chain Monte Carlo Simulation
  26. CHAPTER 16 • Reinforcement Learning
  27. CHAPTER 17 • AlphaGo
  28. CHAPTER 18 • Game Theory
  29. CHAPTER 19 • Predictive Analytics
  30. CHAPTER 20 • Support Vector Machines
  31. CHAPTER 21 • Top-Down Speech Recognition
  32. CHAPTER 22 • Bottom-Up Speech Recognition
  33. CHAPTER 23 • Speech Synthesis
  34. CHAPTER 24 • RBMs, GANs, and LFCF
  35. CHAPTER 25 • LLMs and GPTs
  36. CHAPTER 26 • Massive Parallel Processing and Supercomputers
  37. CHAPTER 27 • Quantum Computing
  38. CHAPTER 28 • Industrial Robots: Robot Physicians
  39. CHAPTER 29 • Autonomous Vehicles
  40. CHAPTER 30 • Exoplanet/Exomoon Astronomer
  41. CHAPTER 31 • Protein Folding
  42. CHAPTER 32 • Intelligence
  43. CHAPTER 33 • The AI Singularity
  44. AFTERWORD
  45. APPENDIX
  46. BIBLIOGRAPHY
  47. INDEX