WEBVTT 00:00:00.896 --> 00:00:04.642 We know more about other planets than our own, 00:00:05.446 --> 00:00:08.670 and today, I want to show you a new type of robot 00:00:08.693 --> 00:00:12.733 designed to help us better understand our own planet. 00:00:13.408 --> 00:00:15.020 It belongs to a category 00:00:15.044 --> 00:00:19.998 known in the oceanographic community as an unmanned surface vehicle, or USV. 00:00:20.665 --> 00:00:22.595 And it uses no fuel. 00:00:23.047 --> 00:00:26.981 Instead, it relies on wind power for propulsion. 00:00:27.005 --> 00:00:30.760 And yet, it can sail around the globe for months at a time. 00:00:31.474 --> 00:00:34.352 So I want to share with you why we built it, 00:00:34.376 --> 00:00:35.868 and what it means for you. NOTE Paragraph 00:00:37.814 --> 00:00:42.398 A few years ago, I was on a sailboat making its way across the Pacific, 00:00:42.422 --> 00:00:44.620 from San Francisco to Hawaii. 00:00:45.296 --> 00:00:48.650 I had just spent the past 10 years working nonstop, 00:00:48.674 --> 00:00:51.790 developing video games for hundreds of millions of users, 00:00:51.814 --> 00:00:55.335 and I wanted to take a step back and look at the big picture 00:00:55.359 --> 00:00:57.296 and get some much-needed thinking time. 00:00:57.918 --> 00:00:59.463 I was the navigator on board, 00:01:00.034 --> 00:01:03.698 and one evening, after a long session analyzing weather data 00:01:03.722 --> 00:01:05.351 and plotting our course, 00:01:05.375 --> 00:01:08.449 I came up on deck and saw this beautiful sunset. 00:01:08.814 --> 00:01:10.247 And a thought occurred to me: 00:01:10.747 --> 00:01:14.101 How much do we really know about our oceans? 00:01:15.252 --> 00:01:19.131 The Pacific was stretching all around me as far as the eye could see, 00:01:19.155 --> 00:01:21.470 and the waves were rocking our boat forcefully, 00:01:21.494 --> 00:01:24.700 a sort of constant reminder of its untold power. 00:01:25.291 --> 00:01:28.523 How much do we really know about our oceans? 00:01:29.235 --> 00:01:30.773 I decided to find out. NOTE Paragraph 00:01:32.362 --> 00:01:35.471 What I quickly learned is that we don't know very much. 00:01:35.495 --> 00:01:38.621 The first reason is just how vast oceans are, 00:01:38.645 --> 00:01:40.986 covering 70 percent of the planet, 00:01:41.010 --> 00:01:44.555 and yet we know they drive complex planetary systems 00:01:44.579 --> 00:01:45.759 like global weather, 00:01:45.783 --> 00:01:48.228 which affect all of us on a daily basis, 00:01:48.252 --> 00:01:49.870 sometimes dramatically. 00:01:50.562 --> 00:01:53.746 And yet, those activities are mostly invisible to us. NOTE Paragraph 00:01:54.944 --> 00:01:58.709 Ocean data is scarce by any standard. 00:01:59.268 --> 00:02:04.372 Back on land, I had grown used to accessing lots of sensors -- 00:02:04.396 --> 00:02:06.024 billions of them, actually. 00:02:06.576 --> 00:02:13.030 But at sea, in situ data is scarce and expensive. 00:02:13.535 --> 00:02:17.530 Why? Because it relies on a small number of ships and buoys. 00:02:17.919 --> 00:02:20.790 How small a number was actually a great surprise. 00:02:21.329 --> 00:02:24.450 Our National Oceanic and Atmospheric Administration, 00:02:24.474 --> 00:02:26.097 better known as NOAA, 00:02:26.121 --> 00:02:28.450 only has 16 ships, 00:02:28.969 --> 00:02:33.223 and there are less than 200 buoys offshore globally. 00:02:33.770 --> 00:02:35.441 It is easy to understand why: 00:02:35.465 --> 00:02:37.605 the oceans are an unforgiving place, 00:02:37.629 --> 00:02:40.963 and to collect in situ data, you need a big ship, 00:02:40.987 --> 00:02:43.321 capable of carrying a vast amount of fuel 00:02:43.345 --> 00:02:45.163 and large crews, 00:02:45.187 --> 00:02:48.366 costing hundreds of millions of dollars each, 00:02:48.390 --> 00:02:53.712 or, big buoys tethered to the ocean floor with a four-mile-long cable 00:02:54.513 --> 00:02:57.508 and weighted down by a set of train wheels, 00:02:57.532 --> 00:03:02.141 which is both dangerous to deploy and expensive to maintain. NOTE Paragraph 00:03:02.628 --> 00:03:04.554 What about satellites, you might ask? 00:03:05.028 --> 00:03:06.931 Well, satellites are fantastic, 00:03:06.955 --> 00:03:09.458 and they have taught us so much about the big picture 00:03:09.482 --> 00:03:11.503 over the past few decades. 00:03:11.527 --> 00:03:13.903 However, the problem with satellites 00:03:13.927 --> 00:03:18.207 is they can only see through one micron of the surface of the ocean. 00:03:19.124 --> 00:03:22.697 They have relatively poor spatial and temporal resolution, 00:03:23.450 --> 00:03:27.724 and their signal needs to be corrected for cloud cover and land effects 00:03:27.748 --> 00:03:28.956 and other factors. NOTE Paragraph 00:03:30.094 --> 00:03:33.365 So what is going on in the oceans? 00:03:33.929 --> 00:03:35.561 And what are we trying to measure? 00:03:36.283 --> 00:03:38.869 And how could a robot be of any use? NOTE Paragraph 00:03:39.361 --> 00:03:43.259 Let's zoom in on a small cube in the ocean. 00:03:43.283 --> 00:03:46.591 One of the key things we want to understand is the surface, 00:03:46.615 --> 00:03:48.654 because the surface, if you think about it, 00:03:48.678 --> 00:03:51.977 is the nexus of all air-sea interaction. 00:03:52.001 --> 00:03:56.995 It is the interface through which all energy and gases must flow. 00:03:57.552 --> 00:03:59.652 Our sun radiates energy, 00:03:59.676 --> 00:04:02.572 which is absorbed by oceans as heat 00:04:02.596 --> 00:04:05.452 and then partially released into the atmosphere. 00:04:05.476 --> 00:04:09.644 Gases in our atmosphere like CO2 get dissolved into our oceans. 00:04:10.099 --> 00:04:13.728 Actually, about 30 percent of all global CO2 gets absorbed. 00:04:14.603 --> 00:04:18.211 Plankton and microorganisms release oxygen into the atmosphere, 00:04:18.235 --> 00:04:22.406 so much so that every other breath you take comes from the ocean. NOTE Paragraph 00:04:22.430 --> 00:04:25.462 Some of that heat generates evaporation, which creates clouds 00:04:25.486 --> 00:04:27.780 and then eventually leads to precipitation. 00:04:27.804 --> 00:04:30.057 And pressure gradients create surface wind, 00:04:30.081 --> 00:04:32.878 which moves the moisture through the atmosphere. 00:04:33.731 --> 00:04:37.564 Some of the heat radiates down into the deep ocean 00:04:37.588 --> 00:04:39.716 and gets stored in different layers, 00:04:39.740 --> 00:04:43.045 the ocean acting as some kind of planetary-scale boiler 00:04:43.069 --> 00:04:44.690 to store all that energy, 00:04:44.714 --> 00:04:48.451 which later might be released in short-term events like hurricanes 00:04:48.475 --> 00:04:50.856 or long-term phenomena like El NiƱo. 00:04:51.329 --> 00:04:55.644 These layers can get mixed up by vertical upwelling currents 00:04:55.668 --> 00:04:59.114 or horizontal currents, which are key in transporting heat 00:04:59.138 --> 00:05:01.112 from the tropics to the poles. 00:05:01.623 --> 00:05:04.422 And of course, there is marine life, 00:05:04.446 --> 00:05:09.462 occupying the largest ecosystem in volume on the planet, 00:05:09.486 --> 00:05:13.188 from microorganisms to fish to marine mammals, 00:05:13.212 --> 00:05:16.220 like seals, dolphins and whales. NOTE Paragraph 00:05:16.244 --> 00:05:19.821 But all of these are mostly invisible to us. 00:05:21.821 --> 00:05:27.197 The challenge in studying those ocean variables at scale 00:05:27.221 --> 00:05:29.395 is one of energy, 00:05:29.419 --> 00:05:33.542 the energy that it takes to deploy sensors into the deep ocean. 00:05:34.597 --> 00:05:36.890 And of course, many solutions have been tried -- 00:05:36.914 --> 00:05:38.525 from wave-actuated devices 00:05:38.549 --> 00:05:40.090 to surface drifters 00:05:40.114 --> 00:05:42.836 to sun-powered electrical drives -- 00:05:42.860 --> 00:05:44.972 each with their own compromises. 00:05:45.745 --> 00:05:48.915 Our team breakthrough came from an unlikely source -- 00:05:48.939 --> 00:05:53.288 the pursuit of the world speed record in a wind-powered land yacht. 00:05:53.742 --> 00:05:56.043 It took 10 years of research and development 00:05:56.067 --> 00:05:58.596 to come up with a novel wing concept 00:05:58.620 --> 00:06:02.428 that only uses three watts of power to control 00:06:02.452 --> 00:06:05.540 and yet can propel a vehicle all around the globe 00:06:05.564 --> 00:06:07.764 with seemingly unlimited autonomy. 00:06:08.262 --> 00:06:11.608 By adapting this wing concept into a marine vehicle, 00:06:12.356 --> 00:06:14.662 we had the genesis of an ocean drone. NOTE Paragraph 00:06:15.280 --> 00:06:17.614 Now, these are larger than they appear. 00:06:17.638 --> 00:06:22.214 They are about 15 feet high, 23 feet long, seven feet deep. 00:06:22.238 --> 00:06:24.291 Think of them as surface satellites. 00:06:24.315 --> 00:06:27.453 They're laden with an array of science-grade sensors 00:06:27.477 --> 00:06:29.285 that measure all key variables, 00:06:29.309 --> 00:06:32.307 both oceanographic and atmospheric, 00:06:32.331 --> 00:06:36.688 and a live satellite link transmits this high-resolution data 00:06:36.712 --> 00:06:38.754 back to shore in real time. 00:06:39.515 --> 00:06:42.393 Our team has been hard at work over the past few years, 00:06:42.417 --> 00:06:45.925 conducting missions in some of the toughest ocean conditions 00:06:45.949 --> 00:06:47.173 on the planet, 00:06:47.197 --> 00:06:49.662 from the Arctic to the tropical Pacific. 00:06:49.686 --> 00:06:52.410 We have sailed all the way to the polar ice shelf. 00:06:52.434 --> 00:06:54.773 We have sailed into Atlantic hurricanes. 00:06:55.159 --> 00:06:57.117 We have rounded Cape Horn, 00:06:57.141 --> 00:07:00.380 and we have slalomed between the oil rigs of the Gulf of Mexico. 00:07:00.404 --> 00:07:02.734 This is one tough robot. NOTE Paragraph 00:07:03.629 --> 00:07:06.610 Let me share with you recent work that we did 00:07:06.634 --> 00:07:08.508 around the Pribilof Islands. 00:07:08.532 --> 00:07:12.451 This is a small group of islands deep in the cold Bering Sea 00:07:12.475 --> 00:07:14.637 between the US and Russia. 00:07:14.661 --> 00:07:18.111 Now, the Bering Sea is the home of the walleye pollock, 00:07:18.135 --> 00:07:20.710 which is a whitefish you might not recognize, 00:07:20.734 --> 00:07:25.421 but you might likely have tasted if you enjoy fish sticks or surimi. 00:07:25.445 --> 00:07:29.067 Yes, surimi looks like crabmeat, but it's actually pollock. 00:07:29.908 --> 00:07:32.918 And the pollock fishery is the largest fishery in the nation, 00:07:32.942 --> 00:07:35.487 both in terms of value and volume -- 00:07:35.511 --> 00:07:38.980 about 3.1 billion pounds of fish caught every year. NOTE Paragraph 00:07:39.695 --> 00:07:42.394 So over the past few years, a fleet of ocean drones 00:07:42.418 --> 00:07:44.644 has been hard at work in the Bering Sea 00:07:44.668 --> 00:07:49.123 with the goal to help assess the size of the pollock fish stock. 00:07:49.147 --> 00:07:52.918 This helps improve the quota system that's used to manage the fishery 00:07:52.942 --> 00:07:55.110 and help prevent a collapse of the fish stock 00:07:55.134 --> 00:07:58.078 and protects this fragile ecosystem. 00:07:58.538 --> 00:08:03.347 Now, the drones survey the fishing ground using acoustics, 00:08:03.371 --> 00:08:04.895 i.e., a sonar. 00:08:04.919 --> 00:08:08.140 This sends a sound wave downwards, 00:08:08.164 --> 00:08:10.674 and then the reflection, the echo from the sound wave 00:08:10.698 --> 00:08:12.456 from the seabed or schools of fish, 00:08:12.480 --> 00:08:15.390 gives us an idea of what's happening below the surface. 00:08:15.849 --> 00:08:19.855 Our ocean drones are actually pretty good at this repetitive task, 00:08:19.879 --> 00:08:23.784 so they have been gridding the Bering Sea day in, day out. NOTE Paragraph 00:08:23.808 --> 00:08:30.767 Now, the Pribilof Islands are also the home of a large colony of fur seals. 00:08:31.175 --> 00:08:35.664 In the 1950s, there were about two million individuals in that colony. 00:08:36.374 --> 00:08:40.134 Sadly, these days, the population has rapidly declined. 00:08:40.158 --> 00:08:42.501 There's less than 50 percent of that number left, 00:08:42.525 --> 00:08:45.033 and the population continues to fall rapidly. 00:08:45.904 --> 00:08:48.007 So to understand why, 00:08:48.031 --> 00:08:51.520 our science partner at the National Marine Mammal Laboratory 00:08:51.544 --> 00:08:54.881 has fitted a GPS tag on some of the mother seals, 00:08:54.905 --> 00:08:56.382 glued to their furs. 00:08:56.406 --> 00:08:59.407 And this tag measures location and depth 00:08:59.431 --> 00:09:01.763 and also has a really cool little camera 00:09:01.787 --> 00:09:04.183 that's triggered by sudden acceleration. 00:09:04.207 --> 00:09:08.121 Here is a movie taken by an artistically inclined seal, 00:09:08.145 --> 00:09:11.886 giving us unprecedented insight into an underwater hunt 00:09:11.910 --> 00:09:13.724 deep in the Arctic, 00:09:13.748 --> 00:09:16.120 and the shot of this pollock prey 00:09:16.144 --> 00:09:18.910 just seconds before it gets devoured. NOTE Paragraph 00:09:18.934 --> 00:09:22.720 Now, doing work in the Arctic is very tough, even for a robot. 00:09:22.744 --> 00:09:25.334 They had to survive a snowstorm in August 00:09:25.358 --> 00:09:28.849 and interferences from bystanders -- 00:09:28.873 --> 00:09:32.131 that little spotted seal enjoying a ride. NOTE Paragraph 00:09:32.155 --> 00:09:34.716 (Laughter) NOTE Paragraph 00:09:35.378 --> 00:09:41.665 Now, the seal tags have recorded over 200,000 dives over the season, 00:09:42.395 --> 00:09:44.354 and upon a closer look, 00:09:44.378 --> 00:09:48.909 we get to see the individual seal tracks and the repetitive dives. 00:09:49.413 --> 00:09:52.270 We are on our way to decode what is really happening 00:09:52.294 --> 00:09:53.973 over that foraging ground, 00:09:53.997 --> 00:09:55.342 and it's quite beautiful. 00:09:56.362 --> 00:09:59.765 Once you superimpose the acoustic data collected by the drones, 00:09:59.789 --> 00:10:01.913 a picture starts to emerge. 00:10:01.937 --> 00:10:06.309 As the seals leave the islands and swim from left to right, 00:10:06.333 --> 00:10:10.746 they are observed to dive at a relatively shallow depth of about 20 meters, 00:10:10.770 --> 00:10:14.859 which the drone identifies is populated by small young pollock 00:10:14.883 --> 00:10:16.966 with low calorific content. 00:10:16.990 --> 00:10:21.114 The seals then swim much greater distance and start to dive deeper 00:10:21.138 --> 00:10:25.810 to a place where the drone identifies larger, more adult pollock, 00:10:25.834 --> 00:10:28.093 which are more nutritious as fish. 00:10:28.117 --> 00:10:32.239 Unfortunately, the calories expended by the mother seals 00:10:32.263 --> 00:10:34.386 to swim this extra distance 00:10:34.410 --> 00:10:39.326 don't leave them with enough energy to lactate their pups back on the island, 00:10:39.350 --> 00:10:41.384 leading to the population decline. 00:10:42.408 --> 00:10:47.755 Further, the drones identify that the water temperature around the island 00:10:47.779 --> 00:10:49.464 has significantly warmed. 00:10:49.488 --> 00:10:53.788 It might be one of the driving forces that's pushing the pollock north, 00:10:53.812 --> 00:10:56.267 and to spread in search of colder regions. 00:10:56.765 --> 00:10:58.550 So the data analysis is ongoing, 00:10:58.574 --> 00:11:01.953 but already we can see that some of the pieces of the puzzle 00:11:01.977 --> 00:11:03.350 from the fur seal mystery 00:11:03.374 --> 00:11:04.975 are coming into focus. NOTE Paragraph 00:11:06.690 --> 00:11:08.779 But if you look back at the big picture, 00:11:08.803 --> 00:11:10.304 we are mammals, too. 00:11:11.032 --> 00:11:14.856 And actually, the oceans provide up to 20 kilos of fish per human per year. 00:11:14.880 --> 00:11:18.009 As we deplete our fish stocks, what can we humans learn 00:11:18.033 --> 00:11:19.618 from the fur seal story? 00:11:20.719 --> 00:11:23.592 And beyond fish, the oceans affect all of us daily 00:11:23.616 --> 00:11:25.490 as they drive global weather systems, 00:11:25.514 --> 00:11:28.275 which affect things like global agricultural output 00:11:28.299 --> 00:11:31.928 or can lead to devastating destruction of lives and property 00:11:31.952 --> 00:11:35.153 through hurricanes, extreme heat and floods. 00:11:35.756 --> 00:11:39.536 Our oceans are pretty much unexplored and undersampled, 00:11:39.560 --> 00:11:43.997 and today, we still know more about other planets than our own. NOTE Paragraph 00:11:44.021 --> 00:11:47.809 But if you divide this vast ocean in six-by-six-degree squares, 00:11:47.833 --> 00:11:50.650 each about 400 miles long, 00:11:51.539 --> 00:11:53.693 you'd get about 1,000 such squares. 00:11:53.717 --> 00:11:56.013 So little by little, working with our partners, 00:11:56.037 --> 00:12:00.135 we are deploying one ocean drone in each of those boxes, 00:12:00.159 --> 00:12:02.581 the hope being that achieving planetary coverage 00:12:02.605 --> 00:12:05.785 will give us better insights into those planetary systems 00:12:05.809 --> 00:12:07.120 that affect humanity. NOTE Paragraph 00:12:07.603 --> 00:12:11.215 We have been using robots to study distant worlds in our solar system 00:12:11.239 --> 00:12:12.429 for a while now. 00:12:12.939 --> 00:12:15.570 Now it is time to quantify our own planet, 00:12:16.440 --> 00:12:20.279 because we cannot fix what we cannot measure, 00:12:20.303 --> 00:12:23.195 and we cannot prepare for what we don't know. NOTE Paragraph 00:12:23.761 --> 00:12:24.921 Thank you. NOTE Paragraph 00:12:24.945 --> 00:12:28.019 (Applause)