1 00:00:01,713 --> 00:00:03,079 Can I get a show of hands -- 2 00:00:03,103 --> 00:00:06,805 how many of you in this room have been on a plane in this past year? 3 00:00:08,258 --> 00:00:09,411 That's pretty good. 4 00:00:09,435 --> 00:00:12,320 Well, it turns out that you share that experience 5 00:00:12,344 --> 00:00:15,179 with more than three billion people every year. 6 00:00:15,203 --> 00:00:18,340 And when we put so many people in all these metal tubes 7 00:00:18,364 --> 00:00:19,950 that fly all over the world, 8 00:00:19,974 --> 00:00:22,647 sometimes, things like this can happen 9 00:00:22,671 --> 00:00:24,558 and you get a disease epidemic. 10 00:00:25,116 --> 00:00:27,067 I first actually got into this topic 11 00:00:27,091 --> 00:00:29,723 when I heard about the Ebola outbreak last year. 12 00:00:29,747 --> 00:00:31,207 And it turns out that, 13 00:00:31,231 --> 00:00:34,061 although Ebola spreads through these more range-limited, 14 00:00:34,085 --> 00:00:35,419 large-droplet routes, 15 00:00:35,443 --> 00:00:37,421 there's all these other sorts of diseases 16 00:00:37,445 --> 00:00:39,421 that can be spread in the airplane cabin. 17 00:00:39,445 --> 00:00:42,629 The worst part is, when we take a look at some of the numbers, 18 00:00:42,653 --> 00:00:44,066 it's pretty scary. 19 00:00:44,090 --> 00:00:45,850 So with H1N1, 20 00:00:45,874 --> 00:00:48,263 there was this guy that decided to go on the plane 21 00:00:48,287 --> 00:00:50,058 and in the matter of a single flight 22 00:00:50,082 --> 00:00:52,336 actually spread the disease to 17 other people. 23 00:00:52,360 --> 00:00:54,488 And then there was this other guy with SARS, 24 00:00:54,512 --> 00:00:56,614 who managed to go on a three-hour flight 25 00:00:56,638 --> 00:00:59,480 and spread the disease to 22 other people. 26 00:00:59,504 --> 00:01:02,912 That's not exactly my idea of a great superpower. 27 00:01:03,658 --> 00:01:06,222 When we take a look at this, what we also find 28 00:01:06,246 --> 00:01:09,222 is that it's very difficult to pre-screen for these diseases. 29 00:01:09,619 --> 00:01:11,710 So when someone actually goes on a plane, 30 00:01:11,734 --> 00:01:12,940 they could be sick 31 00:01:12,964 --> 00:01:15,359 and they could actually be in this latency period 32 00:01:15,383 --> 00:01:17,542 in which they could actually have the disease 33 00:01:17,566 --> 00:01:19,138 but not exhibit any symptoms, 34 00:01:19,162 --> 00:01:21,353 and they could, in turn, spread the disease 35 00:01:21,377 --> 00:01:23,050 to many other people in the cabin. 36 00:01:23,074 --> 00:01:25,156 How that actually works is that right now 37 00:01:25,180 --> 00:01:27,466 we've got air coming in from the top of the cabin 38 00:01:27,490 --> 00:01:29,916 and from the side of the cabin, as you see in blue. 39 00:01:29,940 --> 00:01:34,142 And then also, that air goes out through these very efficient filters 40 00:01:34,166 --> 00:01:38,714 that eliminate 99.97 percent of pathogens near the outlets. 41 00:01:39,444 --> 00:01:40,921 What happens right now, though, 42 00:01:40,945 --> 00:01:43,012 is that we have this mixing airflow pattern. 43 00:01:43,036 --> 00:01:44,868 So if someone were to actually sneeze, 44 00:01:44,892 --> 00:01:47,596 that air would get swirled around multiple times 45 00:01:47,620 --> 00:01:50,865 before it even has a chance to go out through the filter. 46 00:01:51,785 --> 00:01:54,998 So I thought: clearly, this is a pretty serious problem. 47 00:01:55,022 --> 00:01:58,755 I didn't have the money to go out and buy a plane, 48 00:01:58,779 --> 00:02:01,017 so I decided to build a computer instead. 49 00:02:01,041 --> 00:02:04,313 It actually turns out that with computational fluid dynamics, 50 00:02:04,337 --> 00:02:06,938 what we're able to do is create these simulations 51 00:02:06,962 --> 00:02:08,756 that give us higher resolutions 52 00:02:08,780 --> 00:02:12,400 than actually physically going in and taking readings in the plane. 53 00:02:12,836 --> 00:02:15,850 And so how, essentially, this works is you would start out 54 00:02:15,874 --> 00:02:17,546 with these 2D drawings -- 55 00:02:17,570 --> 00:02:20,698 these are floating around in technical papers around the Internet. 56 00:02:20,722 --> 00:02:23,615 I take that and then I put it into this 3D-modeling software, 57 00:02:23,639 --> 00:02:25,418 really building that 3D model. 58 00:02:25,442 --> 00:02:29,901 And then I divide that model that I just built into these tiny pieces, 59 00:02:29,925 --> 00:02:33,502 essentially meshing it so that the computer can better understand it. 60 00:02:33,526 --> 00:02:37,247 And then I tell the computer where the air goes in and out of the cabin, 61 00:02:37,271 --> 00:02:38,770 throw in a bunch of physics 62 00:02:38,794 --> 00:02:43,015 and basically sit there and wait until the computer calculates the simulation. 63 00:02:44,015 --> 00:02:47,642 So what we get, actually, with the conventional cabin is this: 64 00:02:47,666 --> 00:02:49,913 you'll notice the middle person sneezing, 65 00:02:50,767 --> 00:02:54,159 and we go "Splat!" -- it goes right into people's faces. 66 00:02:54,882 --> 00:02:56,703 It's pretty disgusting. 67 00:02:56,727 --> 00:02:59,075 From the front, you'll notice those two passengers 68 00:02:59,099 --> 00:03:00,885 sitting next to the central passenger 69 00:03:00,909 --> 00:03:02,615 not exactly having a great time. 70 00:03:02,639 --> 00:03:04,825 And when we take a look at that from the side, 71 00:03:04,849 --> 00:03:08,842 you'll also notice those pathogens spreading across the length of the cabin. 72 00:03:10,017 --> 00:03:12,367 The first thing I thought was, "This is no good." 73 00:03:12,391 --> 00:03:15,899 So I actually conducted more than 32 different simulations 74 00:03:15,923 --> 00:03:19,288 and ultimately, I came up with this solution right here. 75 00:03:19,312 --> 00:03:22,828 This is what I call a -- patent pending -- Global Inlet Director. 76 00:03:22,852 --> 00:03:25,418 With this, we're able to reduce pathogen transmission 77 00:03:25,442 --> 00:03:27,210 by about 55 times, 78 00:03:27,234 --> 00:03:30,387 and increase fresh-air inhalation by about 190 percent. 79 00:03:30,411 --> 00:03:32,015 So how this actually works 80 00:03:32,039 --> 00:03:35,168 is we would install this piece of composite material 81 00:03:35,192 --> 00:03:38,160 into these existing spots that are already in the plane. 82 00:03:38,184 --> 00:03:40,185 So it's very cost-effective to install 83 00:03:40,209 --> 00:03:42,057 and we can do this directly overnight. 84 00:03:42,081 --> 00:03:45,629 All we have to do is put a couple of screws in there and you're good to go. 85 00:03:45,653 --> 00:03:48,512 And the results that we get are absolutely amazing. 86 00:03:48,536 --> 00:03:52,072 Instead of having those problematic swirling airflow patterns, 87 00:03:52,096 --> 00:03:53,838 we can create these walls of air 88 00:03:53,862 --> 00:03:56,032 that come down in-between the passengers 89 00:03:56,056 --> 00:03:57,954 to create personalized breathing zones. 90 00:03:57,978 --> 00:04:00,963 So you'll notice the middle passenger here is sneezing again, 91 00:04:00,987 --> 00:04:03,700 but this time, we're able to effectively push that down 92 00:04:03,724 --> 00:04:06,437 to the filters for elimination. 93 00:04:06,461 --> 00:04:07,857 And same thing from the side, 94 00:04:07,881 --> 00:04:11,110 you'll notice we're able to directly push those pathogens down. 95 00:04:11,682 --> 00:04:15,176 So if you take a look again now at the same scenario 96 00:04:15,200 --> 00:04:16,889 but with this innovation installed, 97 00:04:16,913 --> 00:04:18,929 you'll notice the middle passenger sneezes, 98 00:04:18,953 --> 00:04:22,026 and this time, we're pushing that straight down into the outlet 99 00:04:22,050 --> 00:04:25,771 before it gets a chance to infect any other people. 100 00:04:25,795 --> 00:04:28,919 So you'll notice the two passengers sitting next to the middle guy 101 00:04:28,943 --> 00:04:31,176 are breathing virtually no pathogens at all. 102 00:04:31,200 --> 00:04:33,728 Take a look at that from the side as well, 103 00:04:33,752 --> 00:04:35,307 you see a very efficient system. 104 00:04:35,331 --> 00:04:37,953 And in short, with this system, we win. 105 00:04:39,255 --> 00:04:42,144 When we take a look at what this means, 106 00:04:42,168 --> 00:04:45,640 what we see is that this not only works if the middle passenger sneezes, 107 00:04:45,664 --> 00:04:48,438 but also if the window-seat passenger sneezes 108 00:04:48,462 --> 00:04:50,557 or if the aisle-seat passenger sneezes. 109 00:04:51,167 --> 00:04:54,254 And so with this solution, what does this mean for the world? 110 00:04:54,278 --> 00:04:57,792 Well, when we take a look at this 111 00:04:57,816 --> 00:05:00,385 from the computer simulation into real life, 112 00:05:00,409 --> 00:05:03,171 we can see with this 3D model that I built over here, 113 00:05:03,195 --> 00:05:05,283 essentially using 3D printing, 114 00:05:05,307 --> 00:05:08,266 we can see those same airflow patterns coming down, 115 00:05:08,290 --> 00:05:09,876 right to the passengers. 116 00:05:10,920 --> 00:05:13,990 In the past, the SARS epidemic actually cost the world 117 00:05:14,014 --> 00:05:15,943 about 40 billion dollars. 118 00:05:15,967 --> 00:05:17,126 And in the future, 119 00:05:17,150 --> 00:05:19,696 a big disease outbreak could actually cost the world 120 00:05:19,720 --> 00:05:21,578 in excess of three trillion dollars. 121 00:05:21,942 --> 00:05:25,419 So before, it used to be that you had to take an airplane out of service 122 00:05:25,443 --> 00:05:27,315 for one to two months, 123 00:05:27,339 --> 00:05:30,911 spend tens of thousands of man hours and several million dollars 124 00:05:30,935 --> 00:05:32,258 to try to change something. 125 00:05:32,282 --> 00:05:35,793 But now, we're able to install something essentially overnight 126 00:05:35,817 --> 00:05:37,544 and see results right away. 127 00:05:37,568 --> 00:05:40,774 So it's really now a matter of taking this through to certification, 128 00:05:40,798 --> 00:05:41,988 flight testing, 129 00:05:42,012 --> 00:05:45,004 and going through all of these regulatory approvals processes. 130 00:05:45,028 --> 00:05:48,092 But it just really goes to show that sometimes the best solutions 131 00:05:48,116 --> 00:05:49,554 are the simplest solutions. 132 00:05:49,935 --> 00:05:53,125 And two years ago, even, 133 00:05:53,149 --> 00:05:54,918 this project would not have happened, 134 00:05:54,942 --> 00:05:57,768 just because the technology then wouldn't have supported it. 135 00:05:57,792 --> 00:06:00,261 But now with advanced computing 136 00:06:00,285 --> 00:06:02,471 and how developed our Internet is, 137 00:06:02,495 --> 00:06:05,134 it's really the golden era for innovation. 138 00:06:05,158 --> 00:06:08,401 And so the question I ask all of you today is: why wait? 139 00:06:08,425 --> 00:06:10,746 Together, we can build the future today. 140 00:06:11,123 --> 00:06:12,274 Thanks. 141 00:06:12,298 --> 00:06:15,404 (Applause)