0:00:01.713,0:00:03.079 Can I get a show of hands -- 0:00:03.103,0:00:06.805 how many of you in this room[br]have been on a plane in this past year? 0:00:08.258,0:00:09.411 That's pretty good. 0:00:09.435,0:00:12.320 Well, it turns out that you[br]share that experience 0:00:12.344,0:00:15.179 with more than three billion[br]people every year. 0:00:15.203,0:00:18.340 And when we put so many people[br]in all these metal tubes 0:00:18.364,0:00:19.950 that fly all over the world, 0:00:19.974,0:00:22.647 sometimes, things like this can happen 0:00:22.671,0:00:24.558 and you get a disease epidemic. 0:00:25.116,0:00:27.067 I first actually got into this topic 0:00:27.091,0:00:29.723 when I heard about the Ebola[br]outbreak last year. 0:00:29.747,0:00:31.207 And it turns out that, 0:00:31.231,0:00:34.061 although Ebola spreads[br]through these more range-limited, 0:00:34.085,0:00:35.419 large-droplet routes, 0:00:35.443,0:00:37.421 there's all these other sorts of diseases 0:00:37.445,0:00:39.421 that can be spread in the airplane cabin. 0:00:39.445,0:00:42.629 The worst part is, when we take[br]a look at some of the numbers, 0:00:42.653,0:00:44.066 it's pretty scary. 0:00:44.090,0:00:45.850 So with H1N1, 0:00:45.874,0:00:48.263 there was this guy that decided[br]to go on the plane 0:00:48.287,0:00:50.058 and in the matter of a single flight 0:00:50.082,0:00:52.336 actually spread the disease[br]to 17 other people. 0:00:52.360,0:00:54.488 And then there was this[br]other guy with SARS, 0:00:54.512,0:00:56.614 who managed to go on a three-hour flight 0:00:56.638,0:00:59.480 and spread the disease to 22 other people. 0:00:59.504,0:01:02.912 That's not exactly my idea[br]of a great superpower. 0:01:03.658,0:01:06.222 When we take a look at this,[br]what we also find 0:01:06.246,0:01:09.222 is that it's very difficult[br]to pre-screen for these diseases. 0:01:09.619,0:01:11.710 So when someone actually[br]goes on a plane, 0:01:11.734,0:01:12.940 they could be sick 0:01:12.964,0:01:15.359 and they could actually[br]be in this latency period 0:01:15.383,0:01:17.542 in which they could actually[br]have the disease 0:01:17.566,0:01:19.138 but not exhibit any symptoms, 0:01:19.162,0:01:21.353 and they could, in turn,[br]spread the disease 0:01:21.377,0:01:23.050 to many other people in the cabin. 0:01:23.074,0:01:25.156 How that actually works is that right now 0:01:25.180,0:01:27.466 we've got air coming in[br]from the top of the cabin 0:01:27.490,0:01:29.916 and from the side of the cabin,[br]as you see in blue. 0:01:29.940,0:01:34.142 And then also, that air goes out[br]through these very efficient filters 0:01:34.166,0:01:38.714 that eliminate 99.97 percent[br]of pathogens near the outlets. 0:01:39.444,0:01:40.921 What happens right now, though, 0:01:40.945,0:01:43.012 is that we have this[br]mixing airflow pattern. 0:01:43.036,0:01:44.868 So if someone were to actually sneeze, 0:01:44.892,0:01:47.596 that air would get swirled[br]around multiple times 0:01:47.620,0:01:50.865 before it even has a chance[br]to go out through the filter. 0:01:51.785,0:01:54.998 So I thought: clearly, this[br]is a pretty serious problem. 0:01:55.022,0:01:58.755 I didn't have the money[br]to go out and buy a plane, 0:01:58.779,0:02:01.017 so I decided to build a computer instead. 0:02:01.041,0:02:04.313 It actually turns out that[br]with computational fluid dynamics, 0:02:04.337,0:02:06.938 what we're able to do[br]is create these simulations 0:02:06.962,0:02:08.756 that give us higher resolutions 0:02:08.780,0:02:12.400 than actually physically going[br]in and taking readings in the plane. 0:02:12.836,0:02:15.850 And so how, essentially, this works[br]is you would start out 0:02:15.874,0:02:17.546 with these 2D drawings -- 0:02:17.570,0:02:20.698 these are floating around[br]in technical papers around the Internet. 0:02:20.722,0:02:23.615 I take that and then I put it[br]into this 3D-modeling software, 0:02:23.639,0:02:25.418 really building that 3D model. 0:02:25.442,0:02:29.901 And then I divide that model[br]that I just built into these tiny pieces, 0:02:29.925,0:02:33.502 essentially meshing it so that[br]the computer can better understand it. 0:02:33.526,0:02:37.247 And then I tell the computer where[br]the air goes in and out of the cabin, 0:02:37.271,0:02:38.770 throw in a bunch of physics 0:02:38.794,0:02:43.015 and basically sit there and wait until[br]the computer calculates the simulation. 0:02:44.015,0:02:47.642 So what we get, actually,[br]with the conventional cabin is this: 0:02:47.666,0:02:49.913 you'll notice the middle person sneezing, 0:02:50.767,0:02:54.159 and we go "Splat!" -- it goes[br]right into people's faces. 0:02:54.882,0:02:56.703 It's pretty disgusting. 0:02:56.727,0:02:59.075 From the front, you'll notice[br]those two passengers 0:02:59.099,0:03:00.885 sitting next to the central passenger 0:03:00.909,0:03:02.615 not exactly having a great time. 0:03:02.639,0:03:04.825 And when we take a look[br]at that from the side, 0:03:04.849,0:03:08.842 you'll also notice those pathogens[br]spreading across the length of the cabin. 0:03:10.017,0:03:12.367 The first thing I thought was,[br]"This is no good." 0:03:12.391,0:03:15.899 So I actually conducted[br]more than 32 different simulations 0:03:15.923,0:03:19.288 and ultimately, I came up[br]with this solution right here. 0:03:19.312,0:03:22.828 This is what I call a -- patent pending --[br]Global Inlet Director. 0:03:22.852,0:03:25.418 With this, we're able to reduce[br]pathogen transmission 0:03:25.442,0:03:27.210 by about 55 times, 0:03:27.234,0:03:30.387 and increase fresh-air inhalation[br]by about 190 percent. 0:03:30.411,0:03:32.015 So how this actually works 0:03:32.039,0:03:35.168 is we would install this piece[br]of composite material 0:03:35.192,0:03:38.160 into these existing spots[br]that are already in the plane. 0:03:38.184,0:03:40.185 So it's very cost-effective to install 0:03:40.209,0:03:42.057 and we can do this directly overnight. 0:03:42.081,0:03:45.629 All we have to do is put a couple[br]of screws in there and you're good to go. 0:03:45.653,0:03:48.512 And the results that we get[br]are absolutely amazing. 0:03:48.536,0:03:52.072 Instead of having those problematic[br]swirling airflow patterns, 0:03:52.096,0:03:53.838 we can create these walls of air 0:03:53.862,0:03:56.032 that come down in-between the passengers 0:03:56.056,0:03:57.954 to create personalized breathing zones. 0:03:57.978,0:04:00.963 So you'll notice the middle passenger[br]here is sneezing again, 0:04:00.987,0:04:03.700 but this time, we're able[br]to effectively push that down 0:04:03.724,0:04:06.437 to the filters for elimination. 0:04:06.461,0:04:07.857 And same thing from the side, 0:04:07.881,0:04:11.110 you'll notice we're able to directly[br]push those pathogens down. 0:04:11.682,0:04:15.176 So if you take a look again now[br]at the same scenario 0:04:15.200,0:04:16.889 but with this innovation installed, 0:04:16.913,0:04:18.929 you'll notice the middle[br]passenger sneezes, 0:04:18.953,0:04:22.026 and this time, we're pushing[br]that straight down into the outlet 0:04:22.050,0:04:25.771 before it gets a chance[br]to infect any other people. 0:04:25.795,0:04:28.919 So you'll notice the two passengers[br]sitting next to the middle guy 0:04:28.943,0:04:31.176 are breathing virtually[br]no pathogens at all. 0:04:31.200,0:04:33.728 Take a look at that from the side as well, 0:04:33.752,0:04:35.307 you see a very efficient system. 0:04:35.331,0:04:37.953 And in short, with this system, we win. 0:04:39.255,0:04:42.144 When we take a look at what this means, 0:04:42.168,0:04:45.640 what we see is that this not only works[br]if the middle passenger sneezes, 0:04:45.664,0:04:48.438 but also if the window-seat[br]passenger sneezes 0:04:48.462,0:04:50.557 or if the aisle-seat passenger sneezes. 0:04:51.167,0:04:54.254 And so with this solution, what does[br]this mean for the world? 0:04:54.278,0:04:57.792 Well, when we take a look at this 0:04:57.816,0:05:00.385 from the computer simulation[br]into real life, 0:05:00.409,0:05:03.171 we can see with this 3D model[br]that I built over here, 0:05:03.195,0:05:05.283 essentially using 3D printing, 0:05:05.307,0:05:08.266 we can see those same[br]airflow patterns coming down, 0:05:08.290,0:05:09.876 right to the passengers. 0:05:10.920,0:05:13.990 In the past, the SARS epidemic[br]actually cost the world 0:05:14.014,0:05:15.943 about 40 billion dollars. 0:05:15.967,0:05:17.126 And in the future, 0:05:17.150,0:05:19.696 a big disease outbreak[br]could actually cost the world 0:05:19.720,0:05:21.578 in excess of three trillion dollars. 0:05:21.942,0:05:25.419 So before, it used to be that you had[br]to take an airplane out of service 0:05:25.443,0:05:27.315 for one to two months, 0:05:27.339,0:05:30.911 spend tens of thousands of man hours[br]and several million dollars 0:05:30.935,0:05:32.258 to try to change something. 0:05:32.282,0:05:35.793 But now, we're able to install[br]something essentially overnight 0:05:35.817,0:05:37.544 and see results right away. 0:05:37.568,0:05:40.774 So it's really now a matter of taking[br]this through to certification, 0:05:40.798,0:05:41.988 flight testing, 0:05:42.012,0:05:45.004 and going through all of these[br]regulatory approvals processes. 0:05:45.028,0:05:48.092 But it just really goes to show[br]that sometimes the best solutions 0:05:48.116,0:05:49.554 are the simplest solutions. 0:05:49.935,0:05:53.125 And two years ago, even, 0:05:53.149,0:05:54.918 this project would not have happened, 0:05:54.942,0:05:57.768 just because the technology then[br]wouldn't have supported it. 0:05:57.792,0:06:00.261 But now with advanced computing 0:06:00.285,0:06:02.471 and how developed our Internet is, 0:06:02.495,0:06:05.134 it's really the golden era for innovation. 0:06:05.158,0:06:08.401 And so the question I ask all[br]of you today is: why wait? 0:06:08.425,0:06:10.746 Together, we can build the future today. 0:06:11.123,0:06:12.274 Thanks. 0:06:12.298,0:06:15.404 (Applause)