Page 13 - Artificial Intelligence: Building Smarter Machines

Moravec, Hans, 61 uncanny valley, 69–70
Moravec’s Paradox, 61 Sputnik, 23
Murphy, Robin, 51–52 Stanford Artificial Intelligence Center, 84
Musk, Elon, 59, 81 Star Trek, 39, 42, 82–83
superintelligence, 7–8, 42, 75, 79–81, 83,
nanotechnology, 78–79 87–88
neural networks, 31–32, 34–39
Newell, Allen, 21 Tesla cars, 59
top-down artificial intelligence, 28, 31, 35–36
PackBots, 50–51 53, 68 transhumanism, 78–79, 87
Perceptron, 34 Turing, Alan, 9, 18–19
personal computers, 24, 26–27
Bombe, 18–19
recognition technology, 8, 31, 34, 37, 47 Turing test, 9, 75
Remine, Peter, 86 flaws of, 9
American Society for the Prevention of US Defense Advanced Research Projects
Cruelty to Robots (ASPCR), 86 Agency (DARPA), 53–58
RoboCup, 46, 66 US National Aeronautics and Space
robotic sensors, 11, 24, 44, 51, 53, 57–58, Administration (NASA), 61–62
60, 66
robots, 10, 24–25, 41, 44, 54–55, 64–65 von Neumann, John, 20–22
bonding with, 65–72
at disaster sites, 11, 51–53 Watson, 71, 90–91
in medicine, 47–48, 78–79, 91 on Jeopardy!, 4–6, 13
in the military, 7, 10–11, 23, 25, 50, weak artificial intelligence, 8, 25
59–60 Winograd Schema Challenge, 9
in pop culture, 42–43, 82–83 Wordsmith, 33
in space, 61–63 Z1, 17
in transportation, 56–59, 90 Zuse, Konrad, 17
in the workplace, 8, 44–46, 49
Roomba, 44, 69
Rosen, Charles, 23
Rosenblatt, Frank, 34
Sejnowski, Terry, 35–36
self-driving cars, 8, 30, 56–59, 74, 90
benefits of, 56–58
dangers of, 59
Shakey, 23–24
legacy, 25
problems with, 24–25
Shaw, J. C., 21
Silicon Valley, 39, 79
Simon, Herbert, 21
Singularity, 75–78, 87
SNARC (Stochastic Neural Analog
Reinforcement Calculator), 32
social robots, 64–66
concerns about, 68–70
positives of, 67, 72

103