0:00:00.000,0:00:03.000 It is actually a reality today 0:00:03.000,0:00:07.000 that you can download products from the Web -- 0:00:07.000,0:00:10.000 product data, I should say, from the Web -- 0:00:10.000,0:00:13.000 perhaps tweak it and personalize it 0:00:13.000,0:00:15.000 to your own preference or your own taste, 0:00:15.000,0:00:18.000 and have that information sent 0:00:18.000,0:00:21.000 to a desktop machine 0:00:21.000,0:00:23.000 that will fabricate it for you on the spot. 0:00:23.000,0:00:25.000 We can actually build for you, 0:00:25.000,0:00:27.000 very rapidly, 0:00:27.000,0:00:30.000 a physical object. 0:00:30.000,0:00:32.000 And the reason we can do this 0:00:32.000,0:00:34.000 is through an emerging technology 0:00:34.000,0:00:36.000 called additive manufacturing, 0:00:36.000,0:00:39.000 or 3D printing. 0:00:39.000,0:00:41.000 This is a 3D printer. 0:00:41.000,0:00:43.000 They have been around 0:00:43.000,0:00:45.000 for almost 30 years now, 0:00:45.000,0:00:47.000 which is quite amazing to think of, 0:00:47.000,0:00:49.000 but they're only just starting 0:00:49.000,0:00:51.000 to filter into the public arena. 0:00:51.000,0:00:54.000 And typically, you would take data, 0:00:54.000,0:00:57.000 like the data of a pen here, 0:00:57.000,0:01:00.000 which would be a geometric representation of that product in 3D, 0:01:00.000,0:01:02.000 and we would pass that data with material 0:01:02.000,0:01:04.000 into a machine. 0:01:04.000,0:01:06.000 And a process that would happen in the machine 0:01:06.000,0:01:08.000 would mean layer by layer that product would be built. 0:01:08.000,0:01:11.000 And we can take out the physical product, 0:01:11.000,0:01:13.000 and ready to use, 0:01:13.000,0:01:16.000 or to, perhaps, assemble into something else. 0:01:16.000,0:01:19.000 But if these machines have been around for almost 30 years, 0:01:19.000,0:01:21.000 why don't we know about them? 0:01:21.000,0:01:24.000 Because typically they've been too inefficient, 0:01:24.000,0:01:27.000 inaccessible, 0:01:27.000,0:01:29.000 they've not been fast enough, 0:01:29.000,0:01:31.000 they've been quite expensive. 0:01:31.000,0:01:33.000 But today, 0:01:33.000,0:01:35.000 it is becoming a reality 0:01:35.000,0:01:37.000 that they are now becoming successful. 0:01:37.000,0:01:39.000 Many barriers are breaking down. 0:01:39.000,0:01:41.000 That means that you guys 0:01:41.000,0:01:43.000 will soon be able to access one of these machines, 0:01:43.000,0:01:46.000 if not this minute. 0:01:46.000,0:01:48.000 And it will change and disrupt 0:01:48.000,0:01:50.000 the landscape of manufacturing, 0:01:50.000,0:01:53.000 and most certainly our lives, our businesses 0:01:53.000,0:01:55.000 and the lives of our children. 0:01:55.000,0:01:58.000 So how does it work? 0:01:58.000,0:02:00.000 It typically reads CAD data, 0:02:00.000,0:02:02.000 which is a product design data 0:02:02.000,0:02:04.000 created on professional product design programs. 0:02:04.000,0:02:06.000 And here you can see an engineer -- 0:02:06.000,0:02:09.000 it could be an architect or it could be a professional product designer -- 0:02:09.000,0:02:12.000 create a product in 3D. 0:02:12.000,0:02:14.000 And this data gets sent to a machine 0:02:14.000,0:02:17.000 that slices the data 0:02:17.000,0:02:19.000 into two-dimensional representations of that product 0:02:19.000,0:02:21.000 all the way through -- 0:02:21.000,0:02:24.000 almost like slicing it like salami. 0:02:24.000,0:02:27.000 And that data, layer by layer, gets passed through the machine, 0:02:27.000,0:02:29.000 starting at the base of the product 0:02:29.000,0:02:32.000 and depositing material, layer upon layer, 0:02:32.000,0:02:36.000 infusing the new layer of materials to the old layer 0:02:36.000,0:02:38.000 in an additive process. 0:02:38.000,0:02:41.000 And this material that's deposited 0:02:41.000,0:02:43.000 either starts as a liquid form 0:02:43.000,0:02:46.000 or a material powder form. 0:02:46.000,0:02:48.000 And the bonding process can happen 0:02:48.000,0:02:51.000 by either melting and depositing or depositing then melting. 0:02:51.000,0:02:54.000 In this case, we can see a laser sintering machine developed by EOS. 0:02:54.000,0:02:56.000 It's actually using a laser 0:02:56.000,0:02:59.000 to fuse the new layer of material to the old layer. 0:02:59.000,0:03:01.000 And over time -- 0:03:01.000,0:03:03.000 quite rapidly actually, in a number of hours -- 0:03:03.000,0:03:05.000 we can build a physical product, 0:03:05.000,0:03:07.000 ready to take out of the machine and use. 0:03:07.000,0:03:11.000 And this is quite an extraordinary idea, 0:03:11.000,0:03:14.000 but it is reality today. 0:03:14.000,0:03:17.000 So all these products that you can see on the screen 0:03:17.000,0:03:19.000 were made in the same way. 0:03:19.000,0:03:21.000 They were all 3D printed. 0:03:21.000,0:03:23.000 And you can see, 0:03:23.000,0:03:25.000 they're ranging from shoes, 0:03:25.000,0:03:28.000 rings that were made out of stainless steal, 0:03:28.000,0:03:30.000 phone covers out of plastic, 0:03:30.000,0:03:33.000 all the way through to spinal implants, for example, 0:03:33.000,0:03:35.000 that were created out of medical-grade titanium, 0:03:35.000,0:03:37.000 and engine parts. 0:03:37.000,0:03:39.000 But what you'll notice about all of these products 0:03:39.000,0:03:41.000 is they're very, very intricate. 0:03:41.000,0:03:44.000 The design is quite extraordinary. 0:03:44.000,0:03:47.000 Because we're taking this data in 3D form, 0:03:47.000,0:03:50.000 slicing it up before it gets past the machine, 0:03:50.000,0:03:52.000 we can actually create structures 0:03:52.000,0:03:54.000 that are more intricate 0:03:54.000,0:03:57.000 than any other manufacturing technology -- 0:03:57.000,0:04:01.000 or, in fact, are impossible to build in any other way. 0:04:01.000,0:04:04.000 And you can create parts with moving components, 0:04:04.000,0:04:06.000 hinges, parts within parts. 0:04:06.000,0:04:09.000 So in some cases, we can abolish totally 0:04:09.000,0:04:11.000 the need for manual labor. 0:04:11.000,0:04:13.000 It sounds great. 0:04:13.000,0:04:15.000 It is great. 0:04:15.000,0:04:17.000 We can have 3D printers today 0:04:17.000,0:04:19.000 that build structures like these. 0:04:19.000,0:04:22.000 This is almost three meters high. 0:04:22.000,0:04:24.000 And this was built 0:04:24.000,0:04:27.000 by depositing artificial sandstone layer upon layer 0:04:27.000,0:04:31.000 in layers of about five millimeters to 10 mm in thickness -- 0:04:31.000,0:04:33.000 slowly growing this structure. 0:04:33.000,0:04:36.000 This was created by an architectural firm called Shiro. 0:04:36.000,0:04:38.000 And you can actually walk into it. 0:04:38.000,0:04:40.000 And on the other end of the spectrum, 0:04:40.000,0:04:42.000 this is a microstructure. 0:04:42.000,0:04:44.000 It's created depositing layers 0:04:44.000,0:04:47.000 of about four microns. 0:04:47.000,0:04:50.000 So really the resolution is quite incredible. 0:04:50.000,0:04:52.000 The detail that you can get today 0:04:52.000,0:04:55.000 is quite amazing. 0:04:55.000,0:04:57.000 So who's using it? 0:04:57.000,0:05:00.000 Typically, because we can create products very rapidly, 0:05:00.000,0:05:03.000 it's been used by product designers, 0:05:03.000,0:05:06.000 or anyone who wanted to prototype a product 0:05:06.000,0:05:09.000 and very quickly create or reiterate a design. 0:05:09.000,0:05:13.000 And actually what's quite amazing about this technology as well 0:05:13.000,0:05:16.000 is that you can create bespoke products en masse. 0:05:16.000,0:05:19.000 There's very little economies of scale. 0:05:19.000,0:05:22.000 So you can now create one-offs very easily. 0:05:22.000,0:05:24.000 Architects, for example, 0:05:24.000,0:05:26.000 they want to create prototypes of buildings. 0:05:26.000,0:05:28.000 Again you can see, 0:05:28.000,0:05:31.000 this is a building of the Free University in Berlin 0:05:31.000,0:05:33.000 and it was designed by Foster and Partners. 0:05:33.000,0:05:36.000 Again, not buildable in any other way. 0:05:36.000,0:05:39.000 And very hard to even create this by hand. 0:05:41.000,0:05:44.000 Now this is an engine component. 0:05:44.000,0:05:47.000 It was developed by a company called Within Technologies 0:05:47.000,0:05:50.000 and 3T RPD. 0:05:50.000,0:05:52.000 It's very, very, very detailed 0:05:52.000,0:05:54.000 inside with the design. 0:05:54.000,0:05:56.000 Now 3D printing 0:05:56.000,0:05:58.000 can break away barriers in design 0:05:58.000,0:06:00.000 which challenge the constraints 0:06:00.000,0:06:02.000 of mass production. 0:06:02.000,0:06:05.000 If we slice into this product which is actually sitting here, 0:06:05.000,0:06:09.000 you can see that it has a number of cooling channels pass through it, 0:06:09.000,0:06:12.000 which means it's a more efficient product. 0:06:12.000,0:06:15.000 You can't create this with standard manufacturing techniques 0:06:15.000,0:06:17.000 even if you tried to do it manually. 0:06:17.000,0:06:19.000 It's more efficient 0:06:19.000,0:06:22.000 because we can now create all these cavities within the object 0:06:22.000,0:06:24.000 that cool fluid. 0:06:24.000,0:06:26.000 And it's used by aerospace 0:06:26.000,0:06:29.000 and automotive. 0:06:29.000,0:06:32.000 It's a lighter part 0:06:32.000,0:06:34.000 and it uses less material waste. 0:06:34.000,0:06:37.000 So it's overall performance and efficiency 0:06:37.000,0:06:40.000 just exceeds standard mass produced products. 0:06:40.000,0:06:42.000 And then taking this idea 0:06:42.000,0:06:44.000 of creating a very detailed structure, 0:06:44.000,0:06:46.000 we can apply it to honeycomb structures 0:06:46.000,0:06:49.000 and use them within implants. 0:06:49.000,0:06:51.000 Typically an implant 0:06:51.000,0:06:53.000 is more effective within the body 0:06:53.000,0:06:55.000 if it's more porous, 0:06:55.000,0:06:57.000 because our body tissue will grow into it. 0:06:57.000,0:07:00.000 There's a lower chance of rejection. 0:07:00.000,0:07:03.000 But it's very hard to create that in standard ways. 0:07:03.000,0:07:05.000 With 3D printing, 0:07:05.000,0:07:07.000 we're seeing today 0:07:07.000,0:07:09.000 that we can create much better implants. 0:07:09.000,0:07:11.000 And in fact, because we can create 0:07:11.000,0:07:14.000 bespoke products en masse, one-offs, 0:07:14.000,0:07:16.000 we can create implants 0:07:16.000,0:07:18.000 that are specific to individuals. 0:07:18.000,0:07:20.000 So as you can see, 0:07:20.000,0:07:24.000 this technology and the quality of what comes out of the machines is fantastic. 0:07:24.000,0:07:26.000 And we're starting to see it being used 0:07:26.000,0:07:28.000 for final end products. 0:07:28.000,0:07:30.000 And in fact, as the detail is improving, 0:07:30.000,0:07:32.000 the quality is improving, 0:07:32.000,0:07:35.000 the price of the machines are falling 0:07:35.000,0:07:37.000 and they're becoming quicker. 0:07:37.000,0:07:39.000 They're also now small enough 0:07:39.000,0:07:41.000 to sit on a desktop. 0:07:41.000,0:07:43.000 You can buy a machine today for about $300 0:07:43.000,0:07:45.000 that you can create yourself, 0:07:45.000,0:07:47.000 which is quite incredible. 0:07:47.000,0:07:49.000 But then it begs the question, 0:07:49.000,0:07:52.000 why don't we all have one in our home? 0:07:52.000,0:07:54.000 Because, simply, most of us here today 0:07:54.000,0:07:56.000 don't know how to create the data 0:07:56.000,0:07:58.000 that a 3D printer reads. 0:07:58.000,0:08:00.000 If I gave you a 3D printer, 0:08:00.000,0:08:02.000 you wouldn't know how to direct it 0:08:02.000,0:08:04.000 to make what you want it to. 0:08:04.000,0:08:06.000 But there are more and more 0:08:06.000,0:08:08.000 technologies, software and processes today 0:08:08.000,0:08:10.000 that are breaking down those barriers. 0:08:10.000,0:08:12.000 I believe we're at a tipping point 0:08:12.000,0:08:15.000 where this is now something 0:08:15.000,0:08:17.000 that we can't avoid. 0:08:17.000,0:08:19.000 This technology 0:08:19.000,0:08:21.000 is really going to disrupt 0:08:21.000,0:08:23.000 the landscape of manufacturing 0:08:23.000,0:08:25.000 and, I believe, cause a revolution 0:08:25.000,0:08:27.000 in manufacturing. 0:08:27.000,0:08:29.000 So today, 0:08:29.000,0:08:31.000 you can download products from the Web -- 0:08:31.000,0:08:33.000 anything you would have on your desktop, 0:08:33.000,0:08:36.000 like pens, whistles, lemon squeezers. 0:08:36.000,0:08:39.000 You can use software like Google SketchUp 0:08:39.000,0:08:41.000 to create products from scratch 0:08:41.000,0:08:44.000 very easily. 0:08:44.000,0:08:46.000 3D printing can be also used 0:08:46.000,0:08:49.000 to download spare parts from the Web. 0:08:49.000,0:08:51.000 So imagine you have, say, 0:08:51.000,0:08:53.000 a Hoover in your home 0:08:53.000,0:08:56.000 and it has broken down. You need a spare part, 0:08:56.000,0:08:59.000 but you realize that Hoover's been discontinued. 0:08:59.000,0:09:01.000 Can you imagine going online -- 0:09:01.000,0:09:03.000 this is a reality -- 0:09:03.000,0:09:05.000 and finding that spare part 0:09:05.000,0:09:07.000 from a database of geometries 0:09:07.000,0:09:09.000 of that discontinued product 0:09:09.000,0:09:12.000 and downloading that information, that data, 0:09:12.000,0:09:14.000 and having the product made for you at home, 0:09:14.000,0:09:17.000 ready to use, on your demand? 0:09:17.000,0:09:19.000 And in fact, because we can create spare parts 0:09:19.000,0:09:21.000 with things the machines 0:09:21.000,0:09:23.000 are quite literally making themselves. 0:09:23.000,0:09:26.000 You're having machines fabricate themselves. 0:09:26.000,0:09:28.000 These are parts of a RepRap machine, 0:09:28.000,0:09:31.000 which is a kind of desktop printer. 0:09:31.000,0:09:34.000 But what interests my company the most 0:09:34.000,0:09:36.000 is the fact that you can create 0:09:36.000,0:09:39.000 individual unique products en masse. 0:09:39.000,0:09:41.000 There's no need to do a run 0:09:41.000,0:09:43.000 of thousands of millions 0:09:43.000,0:09:46.000 or send that product to be injection molded in China. 0:09:46.000,0:09:50.000 You can just make it physically on the spot. 0:09:50.000,0:09:52.000 Which means 0:09:52.000,0:09:54.000 that we can now present to the public 0:09:54.000,0:09:57.000 the next generation of customization. 0:09:57.000,0:09:59.000 This is something that is now possible today, 0:09:59.000,0:10:01.000 that you can direct personally 0:10:01.000,0:10:04.000 how you want your products to look. 0:10:04.000,0:10:06.000 We're all familiar with the idea 0:10:06.000,0:10:08.000 of customization or personalization. 0:10:08.000,0:10:10.000 Brands like Nike are doing it. 0:10:10.000,0:10:12.000 It's all over the Web. 0:10:12.000,0:10:14.000 In fact, every major household name 0:10:14.000,0:10:16.000 is allowing you 0:10:16.000,0:10:18.000 to interact with their products 0:10:18.000,0:10:20.000 on a daily basis -- 0:10:20.000,0:10:22.000 all the way from Smart Cars 0:10:22.000,0:10:24.000 to Prada 0:10:24.000,0:10:26.000 to Ray Ban, for example. 0:10:26.000,0:10:28.000 But this is not really mass customization; 0:10:28.000,0:10:30.000 it's known as variant production, 0:10:30.000,0:10:33.000 variations of the same product. 0:10:33.000,0:10:36.000 What you could do is really influence your product now 0:10:36.000,0:10:39.000 and shape-manipulate your product. 0:10:39.000,0:10:41.000 I'm not sure about you guys, 0:10:41.000,0:10:43.000 but I've had experiences 0:10:43.000,0:10:45.000 when I've walked into a store and I've know exactly what I've wanted 0:10:45.000,0:10:48.000 and I've searched everywhere for that perfect lamp 0:10:48.000,0:10:50.000 that I know where I want to sit in my house 0:10:50.000,0:10:52.000 and I just can't find the right thing, 0:10:52.000,0:10:55.000 or that perfect piece of jewelry 0:10:55.000,0:10:57.000 as a gift or for myself. 0:10:57.000,0:10:59.000 Imagine that you can now 0:10:59.000,0:11:02.000 engage with a brand 0:11:02.000,0:11:04.000 and interact, 0:11:04.000,0:11:07.000 so that you can pass your personal attributes 0:11:07.000,0:11:11.000 to the products that you're about to buy. 0:11:11.000,0:11:13.000 You can today 0:11:13.000,0:11:15.000 download a product with software like this, 0:11:15.000,0:11:17.000 view the product in 3D. 0:11:17.000,0:11:19.000 This is the sort of 3D data 0:11:19.000,0:11:21.000 that a machine will read. 0:11:21.000,0:11:23.000 This is a lamp. 0:11:23.000,0:11:25.000 And you can start iterating the design. 0:11:25.000,0:11:27.000 You can direct what color that product will be, 0:11:27.000,0:11:29.000 perhaps what material. 0:11:29.000,0:11:32.000 And also, you can engage in shape manipulation of that product, 0:11:32.000,0:11:34.000 but within boundaries that are safe. 0:11:34.000,0:11:37.000 Because obviously the public are not professional product designers. 0:11:37.000,0:11:40.000 The piece of software will keep an individual 0:11:40.000,0:11:44.000 within the bounds of the possible. 0:11:44.000,0:11:46.000 And when somebody is ready to purchase the product 0:11:46.000,0:11:48.000 in their personalized design, 0:11:48.000,0:11:51.000 they click "Enter" and this data gets converted 0:11:51.000,0:11:55.000 into the data that a 3D printer reads 0:11:55.000,0:12:00.000 and gets passed to a 3D printer, 0:12:00.000,0:12:03.000 perhaps on someone's desktop. 0:12:03.000,0:12:05.000 But I don't think that that's immediate. 0:12:05.000,0:12:07.000 I don't think that will happen soon. 0:12:07.000,0:12:09.000 What's more likely, and we're seeing it today, 0:12:09.000,0:12:11.000 is that data gets sent 0:12:11.000,0:12:13.000 to a local manufacturing center. 0:12:13.000,0:12:16.000 This means lower carbon footprint. 0:12:16.000,0:12:19.000 We're now, instead of shipping a product across the world, 0:12:19.000,0:12:21.000 we're sending data across the Internet. 0:12:21.000,0:12:24.000 Here's the product being built. 0:12:24.000,0:12:26.000 You can see, this came out of the machine in one piece 0:12:26.000,0:12:28.000 and the electronics were inserted later. 0:12:28.000,0:12:30.000 It's this lamp, as you can see here. 0:12:30.000,0:12:32.000 So as long as you have the data, 0:12:32.000,0:12:34.000 you can create the part on demand. 0:12:34.000,0:12:36.000 And you don't necessarily need to use this 0:12:36.000,0:12:38.000 for just aesthetic customization, 0:12:38.000,0:12:40.000 you can use it for functional customization, 0:12:40.000,0:12:42.000 scanning parts of the body 0:12:42.000,0:12:44.000 and creating things that are made to fit. 0:12:44.000,0:12:47.000 So we can run this through to something like prosthetics, 0:12:47.000,0:12:50.000 which is highly specialized to an individual's handicap. 0:12:50.000,0:12:54.000 Or we can create very specific prosthetics 0:12:54.000,0:12:56.000 for that individual. 0:12:56.000,0:12:58.000 Scanning teeth today, 0:12:58.000,0:13:00.000 you can have your teeth scanned 0:13:00.000,0:13:02.000 and dental coatings made in this way to fit you. 0:13:02.000,0:13:04.000 While you wait at the dentist, 0:13:04.000,0:13:07.000 a machine will quietly be creating this for you 0:13:07.000,0:13:09.000 ready to insert in the teeth. 0:13:09.000,0:13:13.000 And the idea of now creating implants, 0:13:13.000,0:13:16.000 scanning data, an MRI scan of somebody 0:13:16.000,0:13:18.000 can now be converted into 3D data 0:13:18.000,0:13:22.000 and we can create very specific implants for them. 0:13:22.000,0:13:24.000 And applying this 0:13:24.000,0:13:26.000 to the idea of building up what's in our bodies. 0:13:26.000,0:13:29.000 You know, this is pair of lungs and the bronchial tree. 0:13:29.000,0:13:31.000 It's very intricate. 0:13:31.000,0:13:33.000 You couldn't really create this or simulate it in any other way. 0:13:33.000,0:13:35.000 But with MRI data, 0:13:35.000,0:13:37.000 we can just build the product, 0:13:37.000,0:13:39.000 as you can see, very intricately. 0:13:41.000,0:13:43.000 Using this process, 0:13:43.000,0:13:46.000 pioneers in the industry are layering up cells today. 0:13:46.000,0:13:49.000 So one of the pioneers, for example, is Dr. Anthony Atala, 0:13:49.000,0:13:51.000 and he has been working 0:13:51.000,0:13:53.000 on layering cells to create body parts -- 0:13:53.000,0:13:57.000 bladders, valves, kidneys. 0:13:57.000,0:13:59.000 Now this is not something that's ready for the public, 0:13:59.000,0:14:02.000 but it is in working progress. 0:14:02.000,0:14:04.000 So just to finalize, we're all individual. 0:14:04.000,0:14:07.000 We all have different preferences, different needs. 0:14:07.000,0:14:09.000 We like different things. 0:14:09.000,0:14:11.000 We're all different sizes and our companies the same. 0:14:11.000,0:14:13.000 Businesses want different things. 0:14:13.000,0:14:15.000 Without a doubt in my mind, 0:14:15.000,0:14:17.000 I believe that this technology 0:14:17.000,0:14:19.000 is going to cause a manufacturing revolution 0:14:19.000,0:14:22.000 and will change the landscape of manufacturing as we know it. 0:14:22.000,0:14:24.000 Thank you. 0:14:24.000,0:14:28.000 (Applause)