1 00:00:17,503 --> 00:00:21,343 I want to tell you today about three areas of science and engineering 2 00:00:21,343 --> 00:00:24,313 that I think are converging in very interesting ways. 3 00:00:24,844 --> 00:00:26,597 I'm a mechanical engineer. 4 00:00:26,597 --> 00:00:28,831 I've been working in robotics for over 25 years. 5 00:00:28,831 --> 00:00:31,828 I've been in micro/nanotechnologies for over 15 years. 6 00:00:31,828 --> 00:00:34,527 And over the past decade, since I've been here in Zurich, 7 00:00:34,527 --> 00:00:37,912 I've been working more closely with biologists and with medical doctors, 8 00:00:37,912 --> 00:00:40,246 and I think that the technologies we're working on 9 00:00:40,246 --> 00:00:43,677 and our vision of the future has some very interesting implications. 10 00:00:43,677 --> 00:00:45,391 But instead of telling you about it, 11 00:00:45,391 --> 00:00:48,260 what I want to show you is a clip from a Hollywood film 12 00:00:48,260 --> 00:00:51,310 that actually happens to be almost as old as I am, so ... 13 00:01:03,537 --> 00:01:05,489 (Video) Man: All stations, stand by. 14 00:01:05,489 --> 00:01:07,719 (On stage) (Laughter) 15 00:01:08,380 --> 00:01:10,430 (Video) Man: Right. Inject. 16 00:01:24,823 --> 00:01:26,966 (On stage) "Fantastic Voyage," it's a classic. 17 00:01:26,966 --> 00:01:28,221 I love this movie. 18 00:01:28,521 --> 00:01:32,003 Hollywood has two advantages when they make movies, versus an engineer. 19 00:01:32,003 --> 00:01:33,857 They don't have to worry about physics. 20 00:01:33,857 --> 00:01:36,141 They don't have actually have to make the things. 21 00:01:36,141 --> 00:01:37,430 What I want to show you now 22 00:01:37,430 --> 00:01:40,338 is an animation actually made for us by the Discovery Channel. 23 00:01:40,338 --> 00:01:43,019 They visited my lab about a year and a half ago. 24 00:01:43,019 --> 00:01:45,015 We appeared on one of their shows, 25 00:01:45,015 --> 00:01:47,819 and they put together this concept of where we're heading. 26 00:01:47,819 --> 00:01:50,249 And what we've been working on for several years now 27 00:01:50,249 --> 00:01:54,230 have been little, what we call microrobots that we inject into your eye - 28 00:01:54,230 --> 00:01:56,149 we haven't done it on a human yet, 29 00:01:56,156 --> 00:01:58,691 but we inject it into your eye - 30 00:01:58,691 --> 00:02:02,325 and we use magnetic fields to guide that device back to the retina 31 00:02:02,325 --> 00:02:05,509 to perform certain retinal therapies, for instance delivering drugs. 32 00:02:05,509 --> 00:02:07,257 You saw there, over the patient, 33 00:02:07,257 --> 00:02:10,725 the sequence of electromagnetic coils that we use. 34 00:02:10,725 --> 00:02:13,436 This is in a real pig's eye that you're seeing right here. 35 00:02:13,436 --> 00:02:16,153 This pig's eye came from the butcher earlier that morning, 36 00:02:16,153 --> 00:02:19,794 so we didn't harm any animals ourselves in making this, but - 37 00:02:19,794 --> 00:02:20,794 (Laughter) 38 00:02:20,794 --> 00:02:24,344 What you see is that we're able to very precisely control that device. 39 00:02:24,344 --> 00:02:26,598 That device is about 0.5 mm in size, 40 00:02:26,598 --> 00:02:29,811 about a millimeter long, to give you an idea of scale. 41 00:02:29,811 --> 00:02:31,678 And in this next slide, 42 00:02:31,678 --> 00:02:36,208 you'll see on the left is a system of electromagnetic coils we use. 43 00:02:36,208 --> 00:02:38,607 We do in vivo animal trials with these. 44 00:02:38,607 --> 00:02:40,108 There are eight of these coils, 45 00:02:40,108 --> 00:02:41,210 we call it the OctoMag, 46 00:02:41,210 --> 00:02:44,119 and we control the current in each one of those very precisely 47 00:02:44,119 --> 00:02:46,309 to guide this device through the ocular cavity 48 00:02:46,309 --> 00:02:47,480 back to the retina. 49 00:02:47,480 --> 00:02:50,989 You'll see one of our most recent devices on the fingertip there. 50 00:02:50,989 --> 00:02:52,939 That particular, we call it a microrobot; 51 00:02:52,939 --> 00:02:58,269 it's about 1/3 mm in diameter, 330 microns in diameter. 52 00:02:58,269 --> 00:02:59,731 And our design specs - 53 00:02:59,731 --> 00:03:01,712 the reason we want it to be so thin - 54 00:03:01,712 --> 00:03:03,757 it's about 1.8 mm long - 55 00:03:03,757 --> 00:03:06,567 is that we want it to fit inside of a 23-gauge needle. 56 00:03:06,845 --> 00:03:10,164 If it fits inside of a 23-gauge needle and we inject it into your eye, 57 00:03:10,164 --> 00:03:14,046 as we remove that, that puncture wound doesn't need a suture. 58 00:03:14,046 --> 00:03:16,165 It's relatively non-invasive. 59 00:03:16,165 --> 00:03:18,793 You just put a little topical anesthetic, and it's done. 60 00:03:18,793 --> 00:03:22,762 All the time to inject drugs to treat age-related macular degeneration - 61 00:03:22,762 --> 00:03:24,529 that needle, not the microrobots, 62 00:03:24,529 --> 00:03:25,569 I should say. 63 00:03:25,920 --> 00:03:29,469 But that robot that I just showed you, that you see there on the fingertip, 64 00:03:29,469 --> 00:03:31,424 is the biggest robot we make. 65 00:03:31,424 --> 00:03:35,195 My goal is to make robots that are about 1000 times smaller than that, 66 00:03:35,195 --> 00:03:38,389 something the size, for instance, of these E. coli bacteria. 67 00:03:38,389 --> 00:03:42,316 These little rod-shaped bacteria are about a micron or two long. 68 00:03:42,316 --> 00:03:44,636 That is about 1/100 of the width of a hair. 69 00:03:45,494 --> 00:03:47,936 See those little tails coming off of them? 70 00:03:47,936 --> 00:03:50,043 We'll get to that later, okay? 71 00:03:50,043 --> 00:03:52,047 But before we start talking about bacteria, 72 00:03:52,047 --> 00:03:55,762 I want to talk a little bit about physics and what these constraints put on us, 73 00:03:55,762 --> 00:03:58,336 so we're going to do a simple thought experiment here. 74 00:03:58,336 --> 00:04:00,124 Let's take a cube, okay? 75 00:04:00,124 --> 00:04:01,582 It's a meter on the side. 76 00:04:01,582 --> 00:04:04,116 And I don't need my calculator to do this calculation. 77 00:04:04,116 --> 00:04:07,068 A meter by a meter by a meter is a cubic meter, right? 78 00:04:07,068 --> 00:04:10,594 But if I take that cube and I shrink it to 10 cm - 79 00:04:10,594 --> 00:04:12,362 I shrink it by a factor of 10 - 80 00:04:12,362 --> 00:04:13,820 that calculation changes 81 00:04:13,820 --> 00:04:16,250 because I'm taking a length by a length by a length, 82 00:04:16,250 --> 00:04:20,233 and all of a sudden, it's become 1/1000th of its original volume, 83 00:04:20,233 --> 00:04:22,853 and so properties that depend on volume - 84 00:04:22,853 --> 00:04:24,044 for instance, mass - 85 00:04:24,044 --> 00:04:25,855 also go down by a factor of 1000. 86 00:04:25,855 --> 00:04:29,106 Now, if I go down another 100 times, to a centimeter, 87 00:04:29,106 --> 00:04:31,414 it's gone down, now, by a million times. 88 00:04:31,414 --> 00:04:32,409 And so volume - 89 00:04:32,409 --> 00:04:35,130 as I said, the weight of it goes down by a million times, 90 00:04:35,130 --> 00:04:39,650 but also those magnetic forces we generate on it are also going down 91 00:04:39,650 --> 00:04:42,182 because they scale also with the mass of the object. 92 00:04:42,772 --> 00:04:46,849 So you might say, "But since it weighs less, what's the problem?" 93 00:04:46,849 --> 00:04:50,091 But now, let's think about the surface area of that cube. 94 00:04:50,091 --> 00:04:52,893 It's got six sides, each side is a square meter. 95 00:04:52,893 --> 00:04:55,713 It's got six square meters on that cube. 96 00:04:55,713 --> 00:04:57,872 Over the volume of one, ratio of six. 97 00:04:57,872 --> 00:05:00,943 But as I go down, that area is only a length by a length, 98 00:05:00,943 --> 00:05:04,882 and so as I go down each order of magnitude by a factor of 10, 99 00:05:04,882 --> 00:05:08,007 the importance of surface area goes up by a factor of 10. 100 00:05:08,007 --> 00:05:09,600 And that causes problems, okay? 101 00:05:09,600 --> 00:05:10,833 I can't make robots 102 00:05:10,833 --> 00:05:14,598 and guide them with magnetic fields the way I showed you in the eye - 103 00:05:14,598 --> 00:05:17,418 I can't make them any smaller than I have. 104 00:05:17,418 --> 00:05:19,783 So what are some of the implications? 105 00:05:19,783 --> 00:05:21,922 Well, think about a fish and how a fish swims. 106 00:05:21,922 --> 00:05:25,316 A fish moves its tail back and forth in a reciprocal motion. 107 00:05:25,316 --> 00:05:29,898 It's pushing the mass of fluid back and moving itself forward. 108 00:05:29,898 --> 00:05:32,554 It knows Newton's first law, okay? 109 00:05:32,554 --> 00:05:34,840 And so, Geoffrey Taylor, professor at Cambridge, 110 00:05:34,840 --> 00:05:38,272 thought about this and published some very important papers in the 1950s, 111 00:05:38,272 --> 00:05:41,892 and he made a little mechanical fish just to show how it would work in water, 112 00:05:41,892 --> 00:05:44,086 and it swims just the way you'd think it would. 113 00:05:44,086 --> 00:05:45,260 But if I took that fish 114 00:05:45,260 --> 00:05:48,085 or I took you, and I made you 1,000 or 10,000 times smaller, 115 00:05:48,085 --> 00:05:50,989 and I put you in water, all of sudden, that water would feel - 116 00:05:50,989 --> 00:05:52,798 even though it has the same viscocity, 117 00:05:52,798 --> 00:05:54,893 the surface effects or the drag of that water 118 00:05:54,893 --> 00:05:56,825 would be much, much stronger on you. 119 00:05:56,825 --> 00:05:58,509 And so what Geoffrey Taylor did - 120 00:05:58,509 --> 00:06:00,830 this is a video he made in the 1960s - 121 00:06:00,830 --> 00:06:04,062 is he got a vat of something very thick. 122 00:06:04,062 --> 00:06:06,918 I think if you're from the UK, you know Lyle's Golden Syrup, 123 00:06:06,918 --> 00:06:09,725 and I think that's what he must have used if you look at it. 124 00:06:09,725 --> 00:06:12,008 So, he took his robot - 125 00:06:12,008 --> 00:06:13,543 it's a little mechanical fish - 126 00:06:13,543 --> 00:06:17,044 put it in there, and it doesn't go anywhere 127 00:06:17,044 --> 00:06:18,836 because the fluid drag is so strong 128 00:06:18,836 --> 00:06:21,549 and the mass that's pushing back is so much less than that 129 00:06:21,549 --> 00:06:22,555 that it doesn't move. 130 00:06:22,555 --> 00:06:24,844 And that's the problem as we go down in scale, 131 00:06:24,844 --> 00:06:30,144 is that we have to rethink the way things swim 132 00:06:30,144 --> 00:06:31,404 and the way things move. 133 00:06:31,869 --> 00:06:35,160 Well, if you're an engineer and you don't know how to solve a problem, 134 00:06:35,160 --> 00:06:36,158 what do you do? 135 00:06:36,158 --> 00:06:39,263 You look at nature and think, "How did nature solve this problem?" 136 00:06:39,263 --> 00:06:43,002 Nature solved this problem millions, billions of years ago. 137 00:06:43,002 --> 00:06:44,564 We know there's paramecia. 138 00:06:44,564 --> 00:06:46,568 You see the spermatozoa there on the right? 139 00:06:46,568 --> 00:06:49,470 And they have these special little hairs on them, these cilia, 140 00:06:49,470 --> 00:06:52,063 these flagella for the sperm, we call them, 141 00:06:52,063 --> 00:06:53,859 that move in very interesting ways. 142 00:06:53,859 --> 00:06:58,016 Now, nobody knew before 1675 that these things even existed. 143 00:06:58,016 --> 00:07:01,622 Antonie van Leeuwenhoek, in Holland, was looking in his microscope, 144 00:07:01,622 --> 00:07:02,694 and he was astounded 145 00:07:02,694 --> 00:07:06,028 to see a world of tens of thousands of little microorganisms swimming, 146 00:07:06,028 --> 00:07:08,690 and he wrote a letter to the Royal Society the next year. 147 00:07:08,690 --> 00:07:10,041 They verified his results. 148 00:07:10,041 --> 00:07:12,013 People were astounded, what was going on. 149 00:07:12,013 --> 00:07:16,244 And what van Leeuwenhoek saw in his microscope 150 00:07:16,244 --> 00:07:20,384 was the first time anybody had ever seen bacteria. 151 00:07:21,072 --> 00:07:24,972 This is a graphic of one of the rod-shaped ones. 152 00:07:24,972 --> 00:07:26,512 It's about a micron or two long. 153 00:07:27,702 --> 00:07:30,154 And as you look at these under a microscope - 154 00:07:30,154 --> 00:07:32,326 you saw the one I showed of the E.coli - 155 00:07:32,326 --> 00:07:34,417 you'll notice it has a little flagella on it. 156 00:07:34,417 --> 00:07:36,373 And as you look at it under a microscope, 157 00:07:36,373 --> 00:07:39,695 what you see is this flagella seems to be wiggling back and forth, 158 00:07:39,695 --> 00:07:42,403 but if you were able to look at it from another direction, 159 00:07:42,403 --> 00:07:45,643 you realize it's not wiggling back and forth; it's actually rotating. 160 00:07:46,398 --> 00:07:47,396 And Howard Berg, 161 00:07:47,396 --> 00:07:51,542 when he was at University of Colorado in the early 1970s, discovered this, 162 00:07:51,542 --> 00:07:54,166 and what he discovered was astounding: 163 00:07:54,166 --> 00:07:56,472 nature has invented a rotary motor. 164 00:07:56,472 --> 00:07:57,468 Think about it. 165 00:07:57,468 --> 00:08:00,152 Where else in nature is there a rotary motor? 166 00:08:00,152 --> 00:08:05,912 And Howard has been to our lab and given us some advice on what to do. 167 00:08:05,912 --> 00:08:08,999 He calls these things nature's microrobots, okay? 168 00:08:08,999 --> 00:08:14,079 So the body of the bacteria has sensors on it, chemoreceptors. 169 00:08:14,079 --> 00:08:17,169 Those chemoreceptors communicate with the motor in the back of it, 170 00:08:17,169 --> 00:08:18,327 to drive it. 171 00:08:18,327 --> 00:08:19,856 That also has software in there. 172 00:08:19,856 --> 00:08:22,187 The software is the chunks of DNA floating around. 173 00:08:22,187 --> 00:08:24,295 They're just telling it what parts to make 174 00:08:24,295 --> 00:08:27,723 to keep building the sensors it needs, the motors it needs, and all that. 175 00:08:27,723 --> 00:08:29,940 And the motor is a fascinating structure. 176 00:08:29,940 --> 00:08:34,291 Since Howard discovered these bacterial motors in 1973 - 177 00:08:34,291 --> 00:08:37,970 which, by the way some people believe is evidence of an intelligent designer, 178 00:08:37,970 --> 00:08:41,430 but I don't think most biologists believe that. 179 00:08:43,518 --> 00:08:47,828 These motors are made from about 30 to 40 proteins. 180 00:08:48,188 --> 00:08:50,651 They assemble into this structure 181 00:08:50,651 --> 00:08:54,106 that spins up to 160 revolutions per second. 182 00:08:54,106 --> 00:08:56,806 And you see on the right here, a video from Howard's lab 183 00:08:56,806 --> 00:09:00,658 of fluorescent bacteria swimming at these speeds. 184 00:09:00,658 --> 00:09:03,238 Remember that the size of these is a micron or two. 185 00:09:04,663 --> 00:09:07,378 So we looked at this, and we were thinking, 186 00:09:07,378 --> 00:09:08,762 "What can we learn from this? 187 00:09:08,762 --> 00:09:10,432 How can we take advantage of this?" 188 00:09:10,432 --> 00:09:15,442 So we leveraged some of our nanotechnology experience 189 00:09:15,442 --> 00:09:18,641 to build something we called an artificial bacterial flagella. 190 00:09:18,641 --> 00:09:20,253 Now, I can't make that motor yet. 191 00:09:20,253 --> 00:09:22,702 That motor's about 45 nanometers in diameter. 192 00:09:22,702 --> 00:09:24,475 But what I can make is the flagella 193 00:09:24,475 --> 00:09:27,162 of a similar size and shape that a bacteria has. 194 00:09:27,162 --> 00:09:30,738 And on the front of it there on the left, you'll see what looks like a head, 195 00:09:30,738 --> 00:09:33,265 and what that is is actually a little piece of magnet, 196 00:09:33,265 --> 00:09:35,142 and what I can do with that magnet 197 00:09:35,142 --> 00:09:38,685 is I can generate a torque on it with a magnetic field, 198 00:09:38,685 --> 00:09:40,068 and as I rotate that field - 199 00:09:40,068 --> 00:09:41,787 and these are very, very low fields; 200 00:09:41,787 --> 00:09:44,073 they're about 1000 times less than an MRI field - 201 00:09:44,073 --> 00:09:45,507 they start to get it to twist, 202 00:09:45,507 --> 00:09:47,761 and as it twists, it propels itself forward, 203 00:09:47,761 --> 00:09:49,551 just like E. coli do. 204 00:09:50,217 --> 00:09:52,688 To give you an idea of the scale we're talking about, 205 00:09:52,688 --> 00:09:55,286 here's a scanning electron micrograph of a human hair; 206 00:09:55,286 --> 00:09:57,661 it's about 100 microns or so in diameter. 207 00:09:58,191 --> 00:10:00,477 There is the size of our smallest ABFs. 208 00:10:00,477 --> 00:10:03,406 They're about 10 microns, these particular ones. 209 00:10:03,406 --> 00:10:05,610 And this is the size of a red blood cell, okay? 210 00:10:05,610 --> 00:10:06,710 So we're about double. 211 00:10:06,710 --> 00:10:09,664 Our smallest ones are about twice the size of a red blood cell. 212 00:10:09,664 --> 00:10:13,481 And here are three of them swimming together in a sort of swarm behavior. 213 00:10:13,481 --> 00:10:14,719 To me, they look alive. 214 00:10:14,719 --> 00:10:16,921 I get excited when we do this, you know? 215 00:10:16,921 --> 00:10:17,915 (Laughter) 216 00:10:17,915 --> 00:10:19,107 That's why I do robotics. 217 00:10:19,107 --> 00:10:22,464 There's nothing more fun than building a machine and watching it move. 218 00:10:22,464 --> 00:10:24,905 Now, you'll notice these will start to go backwards. 219 00:10:24,905 --> 00:10:27,431 I didn't reverse the video; I just reversed the field. 220 00:10:27,431 --> 00:10:30,569 There's some really interesting fluid dynamics to be explored here, 221 00:10:30,569 --> 00:10:32,006 and that's pretty interesting. 222 00:10:32,006 --> 00:10:35,284 One exciting thing for us this year was when we were in the bookstore, 223 00:10:35,284 --> 00:10:38,265 we picked up a copy of the 2012 Guinness Book of World Records 224 00:10:38,265 --> 00:10:41,317 and discovered that we were in the Guinness Book of World Records 225 00:10:41,317 --> 00:10:43,003 for the smallest medical robot. 226 00:10:43,003 --> 00:10:44,003 (Audience) Whoo! 227 00:10:44,003 --> 00:10:47,242 Bradley Nelson: Being in the Guinness Book of World Records is great, 228 00:10:47,242 --> 00:10:48,908 but what I'm really gunning for is, 229 00:10:48,908 --> 00:10:50,983 I want to win a medal in the next Olympics, 230 00:10:50,983 --> 00:10:53,129 and so we're developing synchronized swimmers. 231 00:10:53,129 --> 00:10:54,131 (Laughter) 232 00:10:54,681 --> 00:10:55,781 These are interesting - 233 00:10:55,781 --> 00:10:58,373 What's particularly interesting about these guys 234 00:10:58,373 --> 00:11:00,278 is that they're made out of a polymer. 235 00:11:00,278 --> 00:11:01,548 They're noncytotoxic. 236 00:11:01,548 --> 00:11:02,635 They don't kill cells; 237 00:11:02,635 --> 00:11:04,363 in fact, cells like to grow on them. 238 00:11:04,363 --> 00:11:06,083 And we've developed a new technology 239 00:11:06,083 --> 00:11:08,747 that allows us to make some fairly arbitrary shapes here. 240 00:11:08,747 --> 00:11:11,080 So in this next little video I want to show you 241 00:11:11,080 --> 00:11:12,826 is one of our devices. 242 00:11:12,826 --> 00:11:14,156 We put a claw on it, 243 00:11:14,156 --> 00:11:17,718 and so what it can do is go around and grab these little - 244 00:11:17,718 --> 00:11:19,343 these are 6-micron diameter beads, 245 00:11:19,343 --> 00:11:21,679 so they're about the size of that red blood cell - 246 00:11:21,679 --> 00:11:25,260 grab those, move them up in 3D, move them up and down, 247 00:11:25,260 --> 00:11:28,860 and then eventually release them using these fluidic forces. 248 00:11:33,396 --> 00:11:37,047 We've also been thinking about other, more serious applications as well. 249 00:11:37,047 --> 00:11:38,391 Here's one of our devices. 250 00:11:38,391 --> 00:11:41,448 We coated it with a fluorescent molecule called calcein. 251 00:11:41,448 --> 00:11:45,441 This molecule, you're looking at it in a fluorescent microscope there. 252 00:11:46,101 --> 00:11:48,201 This molecule, actually, 253 00:11:48,201 --> 00:11:51,011 is the same molecular weight as a lot of chemotherapy drugs. 254 00:11:51,011 --> 00:11:57,551 And on the left, you'll see some red cells that are stained red. 255 00:11:57,979 --> 00:12:02,239 We discovered as we moved this bacteria near those cells and touched them with it, 256 00:12:02,247 --> 00:12:04,743 the calcein actually gets taken up by the cells. 257 00:12:04,743 --> 00:12:09,573 So this allows us, now, to potentially deliver drugs into individual cells 258 00:12:09,573 --> 00:12:12,357 and target individual cells with this kind of technology. 259 00:12:12,357 --> 00:12:13,738 The other thing that's cool - 260 00:12:13,738 --> 00:12:16,548 I've only shown you a few, but we can make armies of these. 261 00:12:16,548 --> 00:12:18,168 We can make them by the thousands. 262 00:12:18,168 --> 00:12:19,718 We can make about one a second. 263 00:12:19,718 --> 00:12:22,097 We make tens of thousands, put them in suspension. 264 00:12:22,097 --> 00:12:24,621 So I think there's some interesting possibilities here 265 00:12:24,621 --> 00:12:28,441 for the future of where this can go. 266 00:12:29,068 --> 00:12:30,985 So let's go back to the bacterial motor. 267 00:12:30,985 --> 00:12:34,286 This is a video from Keiichi Namba's lab at Osaka University. 268 00:12:34,286 --> 00:12:35,856 He and his group have spent years 269 00:12:35,856 --> 00:12:38,288 trying to understand the exact sequence of proteins, 270 00:12:38,288 --> 00:12:40,240 how they assemble into this rotary motor. 271 00:12:40,240 --> 00:12:43,102 And while I'm not at the point where I can develop the motor, 272 00:12:43,102 --> 00:12:45,564 I can develop some of these parts of this device, 273 00:12:45,564 --> 00:12:49,325 and so what we're hoping as we move into the future and keep going in this area, 274 00:12:49,325 --> 00:12:52,279 we'll learn more and more from nature at these molecular scales 275 00:12:52,279 --> 00:12:54,999 and be able to build machines that operate in similar ways 276 00:12:54,999 --> 00:12:56,382 and under similar principles. 277 00:12:57,032 --> 00:13:00,037 I've been very fortunate to work with some brilliant scientists, 278 00:13:00,037 --> 00:13:02,296 brilliant medical doctors, 279 00:13:02,296 --> 00:13:03,586 and when you're at the ETH, 280 00:13:03,586 --> 00:13:05,830 the Swiss Federal Institute of Technology here - 281 00:13:05,830 --> 00:13:07,326 you know, I'm an engineer. 282 00:13:07,326 --> 00:13:12,276 I walk the hallways where people like Conrad Röntgen, who invented X-rays, 283 00:13:12,276 --> 00:13:14,296 Wolfgang Pauli or Albert Einstein were. 284 00:13:14,296 --> 00:13:16,058 It's a humbling experience. 285 00:13:16,058 --> 00:13:19,724 So I take a little bit of comfort 286 00:13:19,724 --> 00:13:23,315 in a quote from a famous aeronautical engineer from Caltech, 287 00:13:23,315 --> 00:13:25,036 Theodore von Karman, 288 00:13:25,036 --> 00:13:26,839 and von Karman said, 289 00:13:26,839 --> 00:13:31,099 "The scientist describes what is; the engineer creates what never was." 290 00:13:31,099 --> 00:13:32,097 (Laughter) 291 00:13:32,097 --> 00:13:33,387 Okay. So. 292 00:13:34,304 --> 00:13:36,491 I want to leave you with one last thought here. 293 00:13:36,491 --> 00:13:39,496 This is from Richard Feynman, the famous physicist from Caltech, 294 00:13:39,496 --> 00:13:41,978 who said, "What I cannot make, I do not understand." 295 00:13:41,978 --> 00:13:42,977 (Laughter) 296 00:13:42,977 --> 00:13:44,357 Okay. So thank you very much. 297 00:13:44,357 --> 00:13:45,364 (Applause)