WEBVTT 00:00:00.878 --> 00:00:04.403 The world is filled with incredible objects 00:00:04.427 --> 00:00:06.355 and rich cultural heritage. 00:00:07.283 --> 00:00:09.419 And when we get access to them, 00:00:09.443 --> 00:00:11.827 we are blown away, we fall in love. 00:00:12.652 --> 00:00:14.249 But most of the time, 00:00:14.273 --> 00:00:19.065 the world's population is living without real access to arts and culture. 00:00:19.946 --> 00:00:25.299 What might the connections be when we start exploring our heritage, 00:00:25.323 --> 00:00:28.530 the beautiful locations and the art in this world? NOTE Paragraph 00:00:29.427 --> 00:00:32.201 Before we get started in this presentation, 00:00:32.225 --> 00:00:35.200 I just want to take care of a few housekeeping points. 00:00:35.651 --> 00:00:38.999 First, I am no expert in art or culture. 00:00:39.023 --> 00:00:41.749 I fell into this by mistake, but I'm loving it. 00:00:42.356 --> 00:00:45.352 Secondly, all of what I'm going to show you 00:00:45.376 --> 00:00:49.341 belongs to the amazing museums, archives and foundations 00:00:49.365 --> 00:00:50.791 that we partner with. 00:00:50.815 --> 00:00:52.671 None of this belongs to Google. 00:00:53.235 --> 00:00:56.424 And finally, what you see behind me 00:00:56.448 --> 00:00:59.799 is available right now on your mobile phones, 00:00:59.823 --> 00:01:00.997 on your laptops. NOTE Paragraph 00:01:01.021 --> 00:01:03.425 This is our current platform, where you can explore 00:01:03.449 --> 00:01:06.860 thousands of museums and objects at your fingertips, 00:01:06.884 --> 00:01:09.395 in extremely high-definition detail. 00:01:09.419 --> 00:01:12.312 The diversity of the content is what's amazing. 00:01:12.336 --> 00:01:14.505 If we just had European paintings, 00:01:14.529 --> 00:01:16.260 if we just had modern art, 00:01:16.284 --> 00:01:18.086 I think it gets a bit boring. 00:01:18.110 --> 00:01:21.969 For example, this month, we launched the "Black History" channel 00:01:21.993 --> 00:01:24.582 with 82 curated exhibitions, 00:01:24.606 --> 00:01:28.172 which talk about arts and culture in that community. 00:01:28.196 --> 00:01:31.819 We also have some amazing objects from Japan, 00:01:31.843 --> 00:01:35.947 centered around craftsmanship, called "Made in Japan." 00:01:35.971 --> 00:01:39.098 And one of my favorite exhibitions, 00:01:39.122 --> 00:01:41.527 which actually is the idea of my talk, 00:01:41.551 --> 00:01:45.414 is -- I didn't expect to become a fan of Japanese dolls. 00:01:45.438 --> 00:01:48.602 But I am, thanks to this exhibition, 00:01:48.626 --> 00:01:52.111 that has really taught me about the craftsmanship 00:01:52.135 --> 00:01:54.257 behind the soul of a Japanese doll. 00:01:54.281 --> 00:01:56.509 Trust me, it's very exciting. 00:01:56.533 --> 00:01:57.881 Take my word for it. NOTE Paragraph 00:01:57.905 --> 00:01:59.914 So, moving on swiftly. 00:01:59.938 --> 00:02:02.770 One quick thing I wanted to showcase in this platform, 00:02:02.794 --> 00:02:05.729 which you can share with your kids and your friends right now, 00:02:05.753 --> 00:02:10.009 is you can travel to all these amazing institutions virtually, as well. 00:02:10.033 --> 00:02:13.619 One of our recent ideas was with The Guggenheim Museum in New York, 00:02:13.643 --> 00:02:17.001 where you can get a taste of what it might feel like 00:02:17.025 --> 00:02:18.176 to actually be there. 00:02:18.200 --> 00:02:19.967 You can go to the ground floor 00:02:19.991 --> 00:02:22.680 and obviously, most of you, I assume, have been there. 00:02:22.704 --> 00:02:25.441 And you can see the architectural masterpiece that it is. 00:02:25.465 --> 00:02:28.559 But imagine this accessibility for a kid in Bombay 00:02:28.583 --> 00:02:30.303 who's studying architecture, 00:02:30.327 --> 00:02:33.382 who hasn't had a chance to go to The Guggenheim as yet. 00:02:33.406 --> 00:02:36.491 You can obviously look at objects in the Guggenheim Museum, 00:02:36.515 --> 00:02:39.233 you can obviously get into them and so on and so forth. 00:02:39.257 --> 00:02:41.132 There's a lot of information here. NOTE Paragraph 00:02:41.156 --> 00:02:45.005 But this is not the purpose of my talk today. 00:02:45.543 --> 00:02:47.309 This exists right now. 00:02:47.333 --> 00:02:51.259 What we now have are the building blocks to a very exciting future, 00:02:51.283 --> 00:02:52.998 when it comes to arts and culture 00:02:53.022 --> 00:02:55.633 and accessibility to arts and culture. 00:02:55.657 --> 00:03:00.125 So I am joined today onstage by my good friend and artist in residence 00:03:00.149 --> 00:03:02.492 at our office in Paris, Cyril Diagne, 00:03:02.516 --> 00:03:04.645 who is the professor of interactive design 00:03:04.669 --> 00:03:07.306 at ECAL University in Lausanne, Switzerland. 00:03:07.330 --> 00:03:09.944 What Cyril and our team of engineers have been doing 00:03:09.968 --> 00:03:13.103 is trying to find these connections and visualize a few of these. NOTE Paragraph 00:03:13.127 --> 00:03:14.940 So I'm going to go quite quick now. 00:03:14.964 --> 00:03:18.566 This object you see behind me -- oh, just clarification: 00:03:18.590 --> 00:03:20.541 Always, seeing the real thing is better. 00:03:20.565 --> 00:03:23.428 In case people think I'm trying to replicate the real thing. 00:03:23.452 --> 00:03:24.659 So, moving on. 00:03:25.155 --> 00:03:28.671 This object you see behind me is the Venus of Berekhat Ram. 00:03:28.695 --> 00:03:30.771 It's one of the oldest objects in the world, 00:03:30.795 --> 00:03:33.969 found in the Golan Heights around 233,000 years ago, 00:03:33.993 --> 00:03:37.122 and currently residing at the Israel Museum in Jerusalem. 00:03:37.146 --> 00:03:39.767 It is also one of the oldest objects on our platform. NOTE Paragraph 00:03:40.322 --> 00:03:41.668 So let's zoom. 00:03:41.692 --> 00:03:43.457 We start from this one object. 00:03:43.986 --> 00:03:46.522 What if we zoomed out 00:03:46.546 --> 00:03:51.052 and actually tried to experience our own cultural big bang? 00:03:51.076 --> 00:03:52.654 What might that look like? 00:03:53.474 --> 00:03:57.131 This is what we deal with on a daily basis at the Cultural Institute -- 00:03:57.155 --> 00:04:02.117 over six million cultural artifacts curated and given to us by institutions, 00:04:02.141 --> 00:04:04.087 to actually make these connections. 00:04:04.111 --> 00:04:05.510 You can travel through time, 00:04:05.534 --> 00:04:09.045 you can understand more about our society through these. 00:04:09.069 --> 00:04:13.469 You can look at it from the perspective of our planet, 00:04:13.493 --> 00:04:16.128 and try to see how it might look without borders, 00:04:16.152 --> 00:04:18.823 if we just organized art and culture. 00:04:18.847 --> 00:04:21.075 We can also then plot it by time, 00:04:21.099 --> 00:04:25.179 which obviously, for the data geek in me, is very fascinating. 00:04:25.203 --> 00:04:28.589 You can spend hours looking at every decade 00:04:28.613 --> 00:04:31.929 and the contributions in that decade and in those years 00:04:31.953 --> 00:04:34.286 for art, history and cultures. 00:04:34.310 --> 00:04:37.689 We would love to spend hours showing you each and every decade, 00:04:37.713 --> 00:04:39.574 but we don't have the time right now. 00:04:39.598 --> 00:04:42.857 So you can go on your phone and actually do it yourself. NOTE Paragraph 00:04:42.881 --> 00:04:46.343 (Applause) NOTE Paragraph 00:04:46.367 --> 00:04:49.469 But if you don't mind and can hold your applause till later, 00:04:49.493 --> 00:04:51.041 I don't want to run out of time, 00:04:51.065 --> 00:04:53.264 because I want to show you a lot of cool stuff. NOTE Paragraph 00:04:53.288 --> 00:04:54.788 So, just very quickly: 00:04:54.812 --> 00:04:58.798 you can move on from here to another very interesting idea. 00:04:58.822 --> 00:05:00.533 Beyond the pretty picture, 00:05:00.557 --> 00:05:02.346 beyond the nice visualization, 00:05:02.370 --> 00:05:04.697 what is the purpose, how is this useful? 00:05:04.721 --> 00:05:09.450 This next idea comes from discussions with curators 00:05:09.474 --> 00:05:11.109 that we've been having at museums, 00:05:11.133 --> 00:05:13.156 who, by the way, I've fallen in love with, 00:05:13.180 --> 00:05:16.374 because they dedicate their whole life to try to tell these stories. 00:05:16.398 --> 00:05:19.329 One of the curators told me, "Amit, what would it be like 00:05:19.353 --> 00:05:21.832 if you could create a virtual curator's table 00:05:21.856 --> 00:05:24.159 where all these six million objects 00:05:24.183 --> 00:05:28.586 are displayed in a way for us to look at the connections between them?" 00:05:28.610 --> 00:05:32.639 You can spend a lot of time, trust me, looking at different objects 00:05:32.663 --> 00:05:34.616 and understanding where they come from. 00:05:34.640 --> 00:05:36.848 It's a crazy Matrix experience. NOTE Paragraph 00:05:36.872 --> 00:05:37.886 (Laughter) NOTE Paragraph 00:05:37.910 --> 00:05:39.196 Just moving on, 00:05:39.220 --> 00:05:42.391 let's take the world-famous Vincent Van Gogh, 00:05:42.415 --> 00:05:46.130 who is very well-represented on this platform. 00:05:46.154 --> 00:05:48.930 Thanks to the diversity of the institutions we have, 00:05:48.954 --> 00:05:54.658 we have over 211 high-definition, amazing artworks by this artist, 00:05:54.682 --> 00:05:58.429 now organized in one beautiful view. 00:05:58.453 --> 00:06:01.426 And as it resolves, and as Cyril goes deeper, 00:06:01.450 --> 00:06:03.659 you can see all the self-portraits, 00:06:03.683 --> 00:06:05.108 you can see still life. 00:06:05.132 --> 00:06:07.735 But I just wanted to highlight one very quick example, 00:06:07.759 --> 00:06:09.447 which is very timely: 00:06:09.471 --> 00:06:10.782 "The Bedroom." 00:06:10.806 --> 00:06:13.107 This is an artwork where three copies exist -- 00:06:13.131 --> 00:06:15.461 one at the Van Gogh Museum in Amsterdam, 00:06:15.485 --> 00:06:17.472 one at the Orsay in Paris 00:06:17.496 --> 00:06:19.430 and one at the Art Institute of Chicago, 00:06:19.454 --> 00:06:21.957 which, actually, currently is hosting a reunion 00:06:21.981 --> 00:06:23.756 of all three artworks physically, 00:06:23.780 --> 00:06:25.917 I think only for the second time ever. 00:06:25.941 --> 00:06:30.860 But, it is united digitally and virtually for anybody to look at 00:06:30.884 --> 00:06:32.805 in a very different way, 00:06:32.829 --> 00:06:35.862 and you won't get pushed in the line in the crowd. 00:06:35.886 --> 00:06:40.628 So let's take you and let's travel through "The Bedroom" very quickly, 00:06:40.652 --> 00:06:44.239 so you can experience what we are doing for every single object. 00:06:44.263 --> 00:06:47.714 We want the image to speak as much as it can 00:06:47.738 --> 00:06:49.382 on a digital platform. 00:06:49.406 --> 00:06:52.553 And all you need is an internet connection and a computer NOTE Paragraph 00:06:52.577 --> 00:06:56.915 (Applause) NOTE Paragraph 00:06:56.939 --> 00:06:59.497 And, Cyril, if you can go deeper, quickly. 00:06:59.521 --> 00:07:01.005 I'm sorry, this is all live, 00:07:01.029 --> 00:07:03.464 so you have to give Cyril a little bit of -- 00:07:04.401 --> 00:07:06.461 and this is available for every object: 00:07:06.485 --> 00:07:09.200 modern art, contemporary art, Renaissance -- you name it, 00:07:09.224 --> 00:07:10.411 even sculpture. NOTE Paragraph 00:07:11.802 --> 00:07:15.397 Sometimes, you don't know what can attract you 00:07:15.421 --> 00:07:20.649 to an artwork or to a museum or to a cultural discovery. 00:07:20.673 --> 00:07:23.415 So for me, personally, it was quite a challenge 00:07:23.439 --> 00:07:26.661 because when I decided to make this my full-time job at Google, 00:07:26.685 --> 00:07:29.288 my mother was not very supportive. 00:07:29.312 --> 00:07:30.559 I love my mother, 00:07:30.583 --> 00:07:33.582 but she thought I was wasting my life with this museum stuff. 00:07:33.606 --> 00:07:36.918 And for her, a museum is what you do when you go on vacation 00:07:36.942 --> 00:07:38.909 and you tick-mark and it's over, right? 00:07:38.933 --> 00:07:41.464 And it took around four and a half years 00:07:41.488 --> 00:07:43.702 for me to convince my lovely Indian mother 00:07:43.726 --> 00:07:45.379 that actually, this is worthwhile. 00:07:45.403 --> 00:07:48.844 And the way I did it was, I realized one day that she loves gold. 00:07:48.868 --> 00:07:54.443 So I started showing her all objects that have the material gold in them. 00:07:54.467 --> 00:07:57.118 And the first thing my mom asks me is, 00:07:57.142 --> 00:07:59.570 "How can we buy these?" NOTE Paragraph 00:07:59.594 --> 00:08:01.412 (Laughter) NOTE Paragraph 00:08:01.436 --> 00:08:04.578 And obviously, my salary is not that high, 00:08:04.602 --> 00:08:06.980 so I was like, "We can't actually do that, mom. 00:08:07.004 --> 00:08:09.115 But you can explore them virtually." 00:08:09.139 --> 00:08:12.558 And so now my mom -- every time I meet her, she asks me, 00:08:12.582 --> 00:08:16.048 "Any more gold, any more silver in your project? Can you show me?" 00:08:16.072 --> 00:08:18.246 And that's the idea I'm trying to illustrate. 00:08:18.270 --> 00:08:20.408 It does not matter how you get in, 00:08:20.432 --> 00:08:21.794 as long as you get in. 00:08:21.818 --> 00:08:23.428 Once you get in, you're hooked. NOTE Paragraph 00:08:23.452 --> 00:08:25.801 Moving on from here very quickly, 00:08:25.825 --> 00:08:28.674 there is kind of a playful idea, actually, 00:08:28.698 --> 00:08:30.333 to illustrate the point of access, 00:08:30.357 --> 00:08:32.779 and I'm going to go quite quickly on this one. 00:08:32.803 --> 00:08:38.210 We all know that seeing the artwork in person is amazing. 00:08:38.234 --> 00:08:40.817 But we also know that most of us can't do it, 00:08:40.841 --> 00:08:43.599 and the ones that can afford to do it, it's complicated. 00:08:43.623 --> 00:08:47.430 So -- Cyril, can we load up our art trip, what do we call it? 00:08:47.454 --> 00:08:49.216 We don't have a good name for this. 00:08:49.240 --> 00:08:54.211 But essentially, we have around 1,000 amazing institutions, 00:08:54.235 --> 00:08:55.402 68 countries. 00:08:55.426 --> 00:08:57.126 But let's start with Rembrandt. 00:08:57.150 --> 00:08:59.392 We might have time for only one example. 00:08:59.416 --> 00:09:01.645 But thanks to the diversity, 00:09:01.669 --> 00:09:05.573 we've got around 500 amazing Rembrandt object artworks 00:09:05.597 --> 00:09:07.866 from 46 institutions and 17 countries. 00:09:07.890 --> 00:09:10.442 Let's say that on your next vacation, 00:09:10.466 --> 00:09:12.516 you want to go see every single one of them. 00:09:12.540 --> 00:09:13.874 That is your itinerary, 00:09:13.898 --> 00:09:17.552 you will probably travel 53,000 kilometers, 00:09:17.576 --> 00:09:20.163 visit around, I think, 46 institutions, 00:09:20.187 --> 00:09:24.378 and just FYI, you might release 10 tons of CO2 emissions. NOTE Paragraph 00:09:24.402 --> 00:09:25.865 (Laughter) NOTE Paragraph 00:09:25.889 --> 00:09:27.362 But remember, it's art, 00:09:27.386 --> 00:09:30.051 so you can justify it, perhaps, in some way. NOTE Paragraph 00:09:30.837 --> 00:09:32.759 Moving on swiftly from here, 00:09:32.783 --> 00:09:35.718 is something a little bit more technical and more interesting. 00:09:35.742 --> 00:09:40.679 All that we've shown you so far uses metadata to make the connections. 00:09:40.703 --> 00:09:42.813 But obviously we have something cool nowadays 00:09:42.837 --> 00:09:45.749 that everyone likes to talk about, which is machine learning. 00:09:45.773 --> 00:09:48.847 So what we thought is, let's strip out all the metadata, 00:09:48.871 --> 00:09:52.483 let's look at what machine learning can do 00:09:52.507 --> 00:09:56.830 based purely on visual recognition of this entire collection. 00:09:56.854 --> 00:10:01.047 What we ended up with is this very interesting map, 00:10:01.071 --> 00:10:05.381 these clusters that have no reference point information, 00:10:05.405 --> 00:10:09.370 but has just used visuals to cluster things together. 00:10:09.394 --> 00:10:12.976 Each cluster is an art to us by itself of discovery. 00:10:13.000 --> 00:10:15.663 But one of the clusters we want to show you very quickly 00:10:15.687 --> 00:10:18.339 is this amazing cluster of portraits 00:10:18.363 --> 00:10:20.765 that we found from museums around the world. 00:10:20.789 --> 00:10:22.972 If you could zoom in a little bit more, Cyril. 00:10:22.996 --> 00:10:26.828 Just to show you, you can just travel through portraits. 00:10:26.852 --> 00:10:29.626 And essentially, you can do nature, you can do horses 00:10:29.650 --> 00:10:31.406 and clusters galore. NOTE Paragraph 00:10:32.309 --> 00:10:33.857 When we saw all these portraits, 00:10:33.881 --> 00:10:37.533 we were like, "Hey, can we do something fun for kids, 00:10:37.557 --> 00:10:39.239 or can we do something playful 00:10:39.263 --> 00:10:41.288 to get people interested in portraits?" 00:10:41.312 --> 00:10:43.492 Because I haven't really seen 00:10:43.516 --> 00:10:46.883 young kids really excited to go to a portrait gallery. 00:10:47.357 --> 00:10:49.289 I wanted to try to figure something out. 00:10:49.313 --> 00:10:51.780 So we created something called the portrait matcher. 00:10:51.804 --> 00:10:53.121 It's quite self-explanatory, 00:10:53.145 --> 00:10:55.883 so I'm just going to let Cyril show his beautiful face. 00:10:55.907 --> 00:11:00.039 And essentially what's happening is, with the movement of his head, 00:11:00.063 --> 00:11:04.230 we are matching different portraits around the world from museums. NOTE Paragraph 00:11:04.254 --> 00:11:06.450 (Applause) NOTE Paragraph 00:11:17.445 --> 00:11:19.151 And I don't know about you, 00:11:19.175 --> 00:11:21.191 but I've shown it to my nephew and sister, 00:11:21.215 --> 00:11:23.064 and the reaction is just phenomenal. 00:11:23.088 --> 00:11:25.794 All they ask me is, "When can we go see this?" 00:11:27.492 --> 00:11:29.065 And by the way, if we're nice, 00:11:29.089 --> 00:11:31.910 maybe, Cyril, you can smile and find a happy one? 00:11:32.696 --> 00:11:34.094 Oh, perfect. 00:11:34.118 --> 00:11:36.106 By the way, this is not rehearsed. 00:11:36.474 --> 00:11:39.054 Congrats, Cyril. Great stuff. Oh wow. 00:11:39.078 --> 00:11:42.554 OK, let's move on; otherwise, this will just take the whole time. NOTE Paragraph 00:11:42.578 --> 00:11:44.296 (Applause) NOTE Paragraph 00:11:44.320 --> 00:11:46.900 So, art and culture can be fun also, right? 00:11:47.900 --> 00:11:51.297 For our last quick experiment -- 00:11:51.321 --> 00:11:53.084 we call all of these "experiments" -- 00:11:53.108 --> 00:11:55.997 our last quick experiment comes back to machine learning. 00:11:56.021 --> 00:11:58.862 We show you clusters, visual clusters, 00:11:58.886 --> 00:12:03.787 but what if we could ask the machine to also name these clusters? 00:12:03.811 --> 00:12:08.564 What if it could automatically tag them, using no actual metadata? 00:12:08.588 --> 00:12:12.688 So what we have is this kind of explorer, 00:12:12.712 --> 00:12:16.323 where we have managed to match, I think, around 4,000 labels. 00:12:16.347 --> 00:12:19.511 And we haven't really done anything special here, 00:12:19.535 --> 00:12:21.193 just fed the collection. 00:12:21.217 --> 00:12:22.987 And we found interesting categories. 00:12:23.011 --> 00:12:25.916 We can start with horses, a very straightforward category. 00:12:25.940 --> 00:12:28.239 You would expect to see that the machine has put 00:12:28.263 --> 00:12:30.004 images of horses, right? 00:12:30.028 --> 00:12:33.470 And it has, but you also notice, right over there, 00:12:33.494 --> 00:12:35.573 that it has a very abstract image 00:12:35.597 --> 00:12:38.792 that it has still managed to recognize and cluster as horses. 00:12:38.816 --> 00:12:42.506 We also have an amazing head in terms of a horse. 00:12:42.530 --> 00:12:46.532 And each one has the tags as to why it got categorized in this. NOTE Paragraph 00:12:46.556 --> 00:12:50.530 So let's move to another one which I found very funny and interesting, 00:12:50.554 --> 00:12:53.045 because I don't understand how this category came up. 00:12:53.069 --> 00:12:54.819 It's called "Lady in Waiting." 00:12:54.843 --> 00:12:57.455 If, Cyril, you do it very quickly, 00:12:57.479 --> 00:13:01.021 you will see that we have these amazing images 00:13:01.045 --> 00:13:03.806 of ladies, I guess, in waiting or posing. 00:13:03.830 --> 00:13:05.276 I don't really understand it. 00:13:05.300 --> 00:13:07.540 But I've been trying to ask my museum contacts, 00:13:07.564 --> 00:13:09.809 you know, "What is this? What's going on here?" 00:13:09.833 --> 00:13:11.445 And it's fascinating. NOTE Paragraph 00:13:11.469 --> 00:13:14.158 Coming back to gold very quickly, 00:13:14.182 --> 00:13:15.745 I wanted to search for gold 00:13:15.769 --> 00:13:17.871 and see how the machine tagged all the gold. 00:13:17.895 --> 00:13:19.975 But, actually, it doesn't tag it as gold. 00:13:20.320 --> 00:13:21.835 We are living in popular times. 00:13:21.859 --> 00:13:23.962 It tags it as "bling-bling." NOTE Paragraph 00:13:23.986 --> 00:13:25.800 (Laughter) NOTE Paragraph 00:13:27.200 --> 00:13:30.121 I'm being hard on Cyril, because I'm moving too fast. 00:13:30.145 --> 00:13:32.772 Essentially, here you have all the bling-bling 00:13:32.796 --> 00:13:35.957 of the world's museums organized for you. NOTE Paragraph 00:13:35.981 --> 00:13:39.497 And finally, to end this talk and these experiments, 00:13:39.521 --> 00:13:42.838 what I hope you feel after this talk is happiness and emotion. 00:13:42.862 --> 00:13:45.301 And what would we see when we see happiness? 00:13:45.325 --> 00:13:48.484 If we actually look at all the objects 00:13:48.508 --> 00:13:50.452 that have been tagged under "happiness," 00:13:50.476 --> 00:13:53.540 you would expect happiness, I guess. 00:13:53.564 --> 00:13:59.667 But there was one that came up that was very fascinating and interesting, 00:13:59.691 --> 00:14:04.066 which was this artwork by Douglas Coupland, 00:14:04.090 --> 00:14:06.185 our friend and artist in residence as well, 00:14:06.209 --> 00:14:08.470 called, "I Miss My Pre-Internet Brain." 00:14:08.494 --> 00:14:12.109 I don't know why the machine feels like it misses its pre-Internet brain 00:14:12.133 --> 00:14:13.403 and it's been tagged here, 00:14:13.427 --> 00:14:15.341 but it's a very interesting thought. 00:14:15.365 --> 00:14:17.548 I sometimes do miss my pre-Internet brain, 00:14:17.572 --> 00:14:20.572 but not when it comes to exploring arts and culture online. NOTE Paragraph 00:14:20.596 --> 00:14:22.909 So take out your phones, take out your computers, 00:14:22.933 --> 00:14:24.090 go visit museums. 00:14:24.114 --> 00:14:26.793 And just a quick call-out to all the amazing archivists, 00:14:26.817 --> 00:14:28.201 historians, curators, 00:14:28.225 --> 00:14:30.997 who are sitting in museums, preserving all this culture. 00:14:31.021 --> 00:14:34.339 And the least we can do is get our daily dose of art and culture 00:14:34.363 --> 00:14:35.694 for ourselves and our kids. NOTE Paragraph 00:14:35.718 --> 00:14:36.871 Thank you. NOTE Paragraph 00:14:36.895 --> 00:14:47.536 (Applause)