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Machines of Loving Grace

Page 39

by John Markoff


  “Grand Traverse,” 234

  Green, David A., 80

  Grendel (rover), 203

  Grimson, Eric, 47

  Gruber, Tom, xiii–xiv, 277–279, 278, 282–297, 310–323, 339

  Grudin, Jonathan, 15, 170, 193, 342

  Guzzoni, Didier, 303

  hacker culture, early, 110–111, 174

  Hart, Peter, 101–102, 103, 128, 129

  Hassan, Scott, 243, 259–260, 267, 268, 271

  Hawkins, Jeff, 85, 154

  Hayon, Gaby, 50

  Hearsay-II, 282–283

  Heartland Robotics (Rethink Robotics), 204–208

  Hecht, Lee, 135, 139

  Hegel, G. W. F., 340

  Heims, Steven, 75

  Hendrix, Gary, 135

  Herr, Bill, 78

  Hewitt, Carl, 175

  Hewlett-Packard, 255, 291

  Hillis, Danny, 119

  Hinton, Geoffrey, 143–156, 151

  Hoaloha Robotics, 330–332

  Hoefler, Don, 178

  Hoffman, Reid, 295–296

  Homebrew Computer Club, 197, 210–211

  Hopfield, John, 145

  Hopfield Network, 145, 149

  Horvitz, Eric, xiii, 215–220, 336

  How to Create a Mind (Kurzweil), 85, 154

  “How to NOT Build a Terminator” (Arkin), 333–335

  Hubbard, G. Scott, 168

  Hughes, Kevin, 290–291

  Hughes Corp., 126

  Humanoids 2013, 333–335

  Human Use of Human Beings, The (Wiener), 8, 70, 98

  HyperDoc, 298

  Hypermail, 290–292

  hypertext links, invention of, 6

  IBM, 109, 138, 225–226

  Illich, Ivan, 213–215

  Inaba, Masayuki, 244

  Industrial Perception, 241–244, 269–270

  Infocom, 224

  Inoue, Hirochika, 244

  Instagram, 83

  Intel Corp., 95, 178, 260–265

  Intellicorp, 128

  intelligence augmentation (IA) versus AI, 159–194

  agent-based interfaces and, 187–194

  autonomous cars and, 24, 62

  ethical issues of, 332–341, 342–344

  Gerald (digital light field), 271

  Google founding and, 184–187

  human-computer interaction, 11–18

  human-in-the-loop debates, 158–165, 167–169, 335

  IA, defined, xii, 5–7, 31, 115, 141

  McCarthy’s and Engelbart’s work compared, 165–167

  paradoxical relationship between, xii–xiii

  Searle and, 179, 180–182

  Siri and, 12–13, 31, 190, 193–194, 282

  social construction of technology concept, xvii

  Winograd’s changed views about, 170–178, 171, 182–187

  intelligent cruise control, 43

  intelligent elevator, 215

  International Federation of Robotics (IFR), 87

  Internet

  advent of, 7

  ARPAnet as precursor to, 164, 196

  Internet of Things, xv, 193

  neural network advancement and, 151

  photographic film industry and, 83–84

  search engine optimization, 86

  “Third Industrial Revolution,” 88, 89

  Web 2.0, 295

  World Wide Web development, 140, 288–290

  Interval Research Corporation, 213, 267, 268

  Intraspect, 292–295

  Intuitive Surgical, 271

  iRobot, 203

  Jennings, Ken, 225, 226

  Jobs, Steve, 13, 35, 112, 131, 194, 214, 241, 281–282, 320–323

  Johns Hopkins University, 145

  Johnson, Lyndon B., 73

  Joshi, Aravind Krishna, 132

  Joy, Bill, 336, 343

  Kaplan, Jerry, 27, 131–141

  Kapor, Mitch, 140, 292

  Kay, Alan, 7–8, 115, 120, 198–199, 306–310, 339–341

  Kelley, David, 186

  Kelly, Kevin, 17

  Keynes, John Maynard, 74, 76, 326–327

  Kittlaus, Dag, 310–323

  Kiva Systems, 97–98, 206

  knowledge acquisition problem, 287

  knowledge-based systems, 285

  knowledge engineering, 113, 128

  Knowledge Engineering Laboratory (Stanford), 133–134

  Knowledge Navigator, 188, 300, 304, 305–310, 317, 318

  Kodak, 83–84

  Koller, Daphne, 265

  Komisar, Randy, 341

  Konolige, Kurt, 268–269

  Kuffner, James, 43

  Kurzweil, Ray, 84–85, 116, 119, 154, 208, 336

  labor force, 65–94

  aging of, 93–94, 327

  autonomous cars and, 25, 61–62

  Brooks on, 204–208

  Brynjolfsson and McAfee on, 79–80, 82–83

  cybernation revolution, 73–74

  deskilling of, 80–82

  economic change and, 77–79, 83–84

  for elder care, 236–237, 245, 327–332

  growth of, xv, 10, 80–81, 326–327

  Industrial Perception robots and, 241–244, 269–270

  lights-out factories and, 65–68, 66, 90, 104, 206

  Moravec on, 122–123

  recession of 2008 and, 77–78, 325

  Rifkin on automation and, 76–77

  Shockley on, 97

  singularity hypothesis and, 9–10, 84–94

  technological unemployment, 16–18, 76–77, 104, 211

  technology and displacement of, 16–18

  unions and, 325–326

  Wiener on, 8, 68–76

  Labor-Science-Education Association, 70, 73

  Lamond, Pierre, 129–130

  lane-keeping software, 49, 51

  language and speech recognition. see also Siri (Apple)

  chatbot technology, 221–225, 304

  early neural network research, 146–148

  Eliza, 14, 113, 172–174, 221

  Hearsay-II, 282–283

  natural language work by Kaplan, 135

  semantic autocomplete, 284

  semantic understanding, 156

  Shakey and, 2

  SHRDLU, 132, 170–172, 174–178

  Siri’s development and, 12–13, 15, 280 (see also Siri [Apple])

  software agents, 193

  Lanier, Jaron, 82–83

  Leach, Edmund, 90

  LeCun, Yann, 148–152, 151, 156–158

  Lederberg, Joshua, 113

  Legg, Shane, 337–338

  Leonard, John, 55

  Lerner, Sandy, 134

  Levandowski, Anthony, 45

  Levy, Frank, 10

  Lexus, 57

  Licklider, J. C. R., 11, 24, 31, 111–112, 163–164

  lidar, 19–20, 39–40, 42, 51

  Lighthill, Sir Michael James, 130, 144

  Lights in the Tunnel, The (Ford), 79

  lights-out factories, 65–68, 66, 90, 104, 206

  LinkedIn, 295–296

  Lisp Machines, Inc., 128

  Lisp (programming language), 111, 128, 285

  Loebner, Hugh, 14

  Long Range Anti-Ship Missile (LRASM), 26–27

  Lotus Development Corporation, 140, 292

  LS3 (robot), 253

  MacMillan, R. H., 209–210

  Maes, Pattie, 191–194

  Magic Leap, 272–275

  magnetometers, 125–127

  Maker Movement, 213–214

  Mako Surgical, 271–272

  “Man-Computer Symbiosis” (Licklider), 24, 163

  Marcuse, Herbert, 173–174

  Markel, Lester, 71

  Markoff, John, xi

  Markram, Henry, 144, 155

  Marr, David, 46, 145

  Massie, Thomas, 258

  McAfee, Andrew, 79, 82–83, 86–87

  McCarthy, John

  AI terminology coined by, xii, 108–109

  on autonomous manipulat
ion, 257

  early career of, 105–111

  early personal computing and, 197–198

  IA versus AI debate and, 15, 130, 165–167

  Moravec and, 117–118

  SAIL inception and, 7–8, 111–115 (see also Stanford Artificial Intelligence Laboratory [SAIL])

  McKinsey, 80–81, 84

  McLuhan, Marshall, 187, 199

  Mead, Carver, 231

  Media Equation, The (Nass, Reeves), 189

  medical applications, 127–128, 271–272, 285

  Memex, 6, 62

  Menlo Ventures, 315

  Men of Mathematics (Bell), 105

  Mercedes, 45, 57, 119

  microcosm, 9

  MicroPlanner, 175

  Microsoft

  agent-based interfaces and, 187–191, 215–220

  early smartphones and, 239

  HoloLens, 273

  IA versus AI debate and, 170, 187–191

  Intel and, 262

  neural nets, 152

  Robotics Developer Studio, 329–330

  Windows, 187

  microsofts, 24

  Mind Children (Moravec), 118, 125, 257

  Minsky, Marvin

  AI Winter and, 131

  early AI and, 4, 6, 104–109

  Engelbart and, 17

  on machine vision, 114, 234–235

  MIT Artificial Intelligence Laboratory and, 109–111

  neural networks and, 142

  Perceptron, 146

  Salisbury and, 257–258

  Selfridge and, 190

  Winograd and, 171, 172

  MIT

  Architecture Machine Group, 306–307, 308–309

  Artificial Intelligence Laboratory, 109–111

  “Automation” (panel discussion), 98

  Autor and, 10, 78

  Baxter (robot), 195–196, 204–205, 205, 207

  Brynjolfsson and McAfee, 79, 82–83

  Leg Lab, 232, 235

  Leonard and, 55

  Media Lab, 191–192, 306–310

  Minsky and, 4, 104, 109–111

  Model Railway Club, 110

  Raibert and, 230

  Shashua and, 46–47

  Wiener and, 69, 71–72

  Winograd and, 16, 170–172, 171, 174–178

  Mobileye, 46–54

  Model S (Tesla), 46

  Montemerlo, Mike, 20, 22, 32, 35–36, 36

  Moore, Gordon, 95, 307–308

  Moore’s law, xvii, 9, 88, 117–119

  Mooter, 222

  Moravec, Hans, 112, 114, 115–125, 120–122, 199, 200–201, 257

  Morgenthaler, Gary, 315

  Morozov, Evgeny, 213–214

  Motwani, Rajeev, 185

  mouse, invention of, 6, 255

  Murnane, Richard J., 10

  Mycin, 127

  My Cybertwin (Cognea), 221–225, 237

  My Perfect Girlfriend (My Cybertwin), 221–224

  NASA

  Ames Research Center, 8–9, 168

  bottom-up ideology, 202–204

  early Mars robot, 233–234

  Jet Propulsion Laboratory, 202, 230

  moon exploration by, 113–114

  Sojourner, 203

  Stanford Cart project and, 120

  Taylor and, 159–165

  Valkyrie, 251

  Nash, John Forbes, 107

  Nass, Clifford, 189

  National Australia Bank, 223

  National Bureau of Economic Research (NBER), 80, 87, 325

  National Commission on Technology, Automation, and Economic Progress, 74

  National Highway Transportation Safety Administration, 45

  National Institutes of Health, 336

  Navlab (Carnegie Mellon), 33

  NCR, 150

  NCSA Mosaic, 301, 312

  Negroponte, Nicholas, 191, 306–310, 340

  Nelson, Ted, 288, 308

  Nettalk, 147–148

  Neural Computation and Adaptive Perception, 150–151

  Neural Information Processing Systems (NIPS), 157

  neural networks

  convolutional neural networks, 150

  deep learning neural networks, 150–156

  Google’s work on, 152–154

  Hinton and Sejnowski on, 143–148, 151

  LeCun on, 148–152, 151

  Minsky and, 142

  Rosenblatt and, 141–142, 143

  Shakey project, 101–105

  Neuromancer (Gibson), 23–24

  Newell, Allen, 108

  Newell, Martin, 47

  NeXT, 305

  Ng, Andrew, 153, 259–260, 265, 267

  1984 (Orwell), xvi

  Nissan, 50

  NLS (oN-Line System), 5–7, 172, 197

  Norman, Donald, 143, 170, 186

  Norvig, Peter, 55–56, 63, 92

  “nouvelle AI,” 201–204

  Nuance, 223, 300, 321

  nuclear power plants, robots used for rescue, 233–235, 237–238

  Numenta, 154

  Obama, Barack, 24, 81, 167–168, 236

  Odyssey (Sculley), 306

  On Intelligence (Hawkins), 85, 154

  ontologies, 288

  Open Agent Architecture (OAA), 299

  Open Source Computer Vision (OpenCV), 261, 261–265

  O’Reilly, Tim, 83–84

  Orwell, George, xvi

  Osborne 1, 211

  Out of Control (Kelly), 17

  Ozzie, Ray, 299

  Page, Larry

  on agent-based interfaces, 13

  founding of Google, 16, 184–187

  Google’s image and, 41

  PageRank algorithm, 62, 92, 259

  robotic advancement and, 241–244

  Thrun and, 35, 37, 38

  Pandemonium, 190

  Papert, Seymour, 143, 144, 146, 148, 177–178, 191

  Parallel Distributed Processing (PDP), 145

  Pask, Gordon, 308–310

  pattern recognition, 9

  Pearl, Judea, 216

  Peninsula School, 3

  Perceptive Assistant that Learns (PAL), 31

  perceptrons, defined, 142

  Perceptrons (Minsky, Papert), 143, 146

  personal computing

  advent of, xv, 196–201, 210–211, 255–256

  “post-PC era,” 239

  Personal Information Manager (Lotus), 140

  Phenomenology of Self, The (Hegel), 340

  Philips, 65–68, 66

  Planetary Society, 168

  play-based interaction, 212

  Poggio, Tommy, 47, 50

  Poindexter, John, 29

  Pratt, Gill, 232, 235–238, 335

  probabilistic decision tree, 4

  Program on Liberation Technology (Stanford), 342

  Prospector (SRI), 128

  PR1/2 (Personal Robot One/Two), 258–260, 267–268

  Q&A, 135

  “Race Against the Machine” (Brynjolfsson, McAfee), 79

  Raibert, Marc, 227–232, 235, 238, 245, 247

  RAND Corporation, 74, 177

  Raphael, Bert, 103

  Rashid, Richard, 152

  Real Travel, 295–297

  Reddy, Raj, 112–113, 282

  Redzone Robotics, 233

  Reeves, Byron, 189

  Replicant (Rubin’s robot), 256

  replicants (Blade Runner), 338–339

  Rethink Robotics, 99, 204–208

  Reuther, Walter, 68–73, 74

  Rice University, 9, 86

  Rifkin, Jeremy, 76–77

  Robby (robot), 331

  Robot Children (Moravec), 118

  robotics advancement, 227–275

  autonomous robots, 250–251

  Bradski and, 260–275, 261

  computer vision, 46–54, 114, 120–122, 200–201, 234–235, 242, 261, 261–265

  DARPA Robotics Challenge, 227–230, 234, 236–238, 244–254, 249

  early personal computing and, 255–256

  effect on labor force, 241–24
4, 269–270 (see also labor force)

  Google and, 241–244, 248–255, 256, 260–261

  Raibert and, 227–232, 235, 245, 247

  Rubin and, 238–241, 240, 249–254

  Salisbury and, 256–260, 267

  scene understanding, 47–48, 155–156

  self-aware machines and, 9–10, 15, 26, 72–76, 84–94, 119, 122–125, 220–221

  touch, 257–260, 271

  walking robots, 232

  Whittaker and “field robotics,” 233–234

  Robot (Moravec), 122–124

  “Role of Autonomy in DoD Systems, The” (Department of Defense), 334–335

  “Role of Raw Power in Intelligence, The” (McCarthy), 118

  Rosen, Charles, 5, 100–105, 143–148

  Rosenblatt, Frank, 141–142, 143

  Rubin, Andy, xiii–xiv, 99–100, 195–196, 238–241, 240, 249–254, 332

  Rubinsteyn, Alex, 157

  Rumelhart, David, 143

  Rutter, Brad, 225, 226

  Saffo, Paul, 10

  Salisbury, Ken, 256–260, 267

  Samsung, 83–84

  Sand, Ben, 80

  Sandperl, Ira, 3

  Schaft, 245–246, 248, 250, 251–254

  Schank, Roger, 131, 180–181

  Schirra, Wally, 161, 163

  Schmidt, Eric, 41

  “Scientist Rebels, A” (Wiener), 70

  Scoble, Robert, 319

  Scripts, Plans, Goals, and Understanding (Schank, Abelson), 180–181

  Sculley, John, 35, 280, 300, 305, 306, 307, 317

  Searle, John, 179–182

  Second Machine Age, The (Brynjolfsson, McAfee), 82, 86–87

  Sejnowski, Terry, 143, 144–148, 148–152, 151

  self-aware machines

  machine learning, 91

  “robot rights,” 15

  singularity concept, 9–10, 84–94, 119, 122–125, 220–221

  weapons as, 26

  Wiener on, 72–76

  Selfridge, Oliver, 190

  Sensable Devices, 258

  Shakey project, 1–7, 5, 101–105

  Shannon, Claude, 107, 174

  Shashua, Amnon, 46–54

  Shneiderman, Ben, 186, 187–194, 317

  Shockley, William, 95–99, 100, 256

  Shockley Semiconductor Laboratory, 96, 98

  SHRDLU, 132, 170–172, 174–178

  Sidekick (Danger, Inc.), 240

  Silicon Valley, inception of, 95–99, 100, 178, 256

  Simon, Herbert, 108, 168, 215, 283

  Simon (personal computer), 231

  Singhal, Amit, 314

  Singularity Institute, 17

  Singularity Is Near, The (Kurzweil), 119

  Sinofsky, Steven, 217

  Siri (Apple), 277–323

  Apple history and, 279–281

  Apple’s acquisition of Siri, 281–282, 320–323

  Cheyer’s early career and, 297–305

  Gruber’s early career and, 277–279, 278, 282–297

  IA versus AI issues, 12–13, 31, 190, 193–194, 282

  Knowledge Navigator and, 188, 300, 304, 305–310, 317, 318

  released as iPhone App, 319–320

  Siri (company) founded, 310–320

  Siu, Henry, 326

  Sketchpad, 230–231, 306, 308

 

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