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