1 00:00:00,440 --> 00:00:02,920 Speaker 1: Hey, this is Julie Douglas from the podcast The Stuff 2 00:00:02,960 --> 00:00:05,760 Speaker 1: of Life here to tell you that super producer Noel 3 00:00:05,800 --> 00:00:08,520 Speaker 1: Brown and I are cooking up season two for an 4 00:00:08,520 --> 00:00:12,360 Speaker 1: August release. So if you haven't already checked out season 5 00:00:12,400 --> 00:00:14,920 Speaker 1: one of the Stuff of Life, there's a big bowl 6 00:00:14,920 --> 00:00:17,360 Speaker 1: of ten episodes ready for you to dig into on 7 00:00:17,440 --> 00:00:21,800 Speaker 1: iTunes or wherever you get your delicious podcast take out from. 8 00:00:21,800 --> 00:00:26,240 Speaker 1: In the meantime, apply sunscreened liberally, and we'll see you 9 00:00:26,280 --> 00:00:33,080 Speaker 1: in August. Welcome to House to Works Now. I'm your host, 10 00:00:33,159 --> 00:00:36,240 Speaker 1: Lauren Vogelbaum, a researcher and writer. Here at House to Works. 11 00:00:40,080 --> 00:00:42,360 Speaker 1: Every week, I'm bringing you three stories from our team 12 00:00:42,400 --> 00:00:46,000 Speaker 1: about the weird and wondrous developments we've seen in science, technology, 13 00:00:46,040 --> 00:00:50,479 Speaker 1: and culture. This week, a crowdfunded project is designing drones 14 00:00:50,600 --> 00:00:56,280 Speaker 1: to dismantle landmines and super unrelated, an artist has plans 15 00:00:56,320 --> 00:01:00,760 Speaker 1: to use deceased fashion designer Alexander McQueen's DNA to grow 16 00:01:00,960 --> 00:01:03,560 Speaker 1: human skin in the lab and then make it into 17 00:01:03,640 --> 00:01:06,800 Speaker 1: leather goods. The leather goods plus of political statement, Really 18 00:01:07,240 --> 00:01:10,679 Speaker 1: but First. Senior writer Jonathan Strickland explains how a team 19 00:01:10,680 --> 00:01:14,400 Speaker 1: of engineers have built the acoustic equivalent of Lego blocks. 20 00:01:14,800 --> 00:01:18,800 Speaker 1: These small interlocking pieces can physically change sound and even 21 00:01:18,840 --> 00:01:23,720 Speaker 1: in code information in it. The engineers come from M I. T. 22 00:01:24,040 --> 00:01:28,720 Speaker 1: Columbia University and Disney Research. They designed interconnecting three D 23 00:01:28,840 --> 00:01:33,080 Speaker 1: printed blocks that can dramatically change sounds. The small cubes 24 00:01:33,080 --> 00:01:36,400 Speaker 1: have connectors on each of the six faces. Those connectors 25 00:01:36,440 --> 00:01:39,279 Speaker 1: can be open to other cubes or closed off, depending 26 00:01:39,360 --> 00:01:42,319 Speaker 1: upon what you want to do. You connect a bunch 27 00:01:42,360 --> 00:01:45,640 Speaker 1: of these blocks together and fit them inside an arbitrarily 28 00:01:45,760 --> 00:01:50,080 Speaker 1: shaped three D printed instrument. With a particular configuration of blocks, 29 00:01:50,120 --> 00:01:52,640 Speaker 1: you can damp and sounds you don't like, or with 30 00:01:52,720 --> 00:01:55,840 Speaker 1: a different combination, you can emphasize sounds in a range 31 00:01:55,840 --> 00:01:59,360 Speaker 1: of frequencies. Or you can even build your own hippo 32 00:01:59,480 --> 00:02:02,840 Speaker 1: bugle and play the Imperial March from Star Wars on it. 33 00:02:03,520 --> 00:02:07,160 Speaker 1: I know because they did that thing and it was awesome. 34 00:02:13,960 --> 00:02:16,400 Speaker 1: In late July, the team will present their findings at 35 00:02:16,400 --> 00:02:20,400 Speaker 1: SIAGRAPH two thousand sixteen, a conference for digital graphics and 36 00:02:20,480 --> 00:02:24,720 Speaker 1: interactive design. Their paper has the zingy title of Acoustic 37 00:02:24,800 --> 00:02:30,160 Speaker 1: Voxels Computational Optimization of Modular Acoustic filters. The boxes are 38 00:02:30,200 --> 00:02:34,560 Speaker 1: the modular acoustic filters a k a. Vauxels. So how 39 00:02:34,639 --> 00:02:38,280 Speaker 1: does it work well. Sound is vibration that moves through matter. 40 00:02:38,680 --> 00:02:41,760 Speaker 1: By making changes to the medium through which the sound travels, 41 00:02:42,040 --> 00:02:44,920 Speaker 1: you can change the nature of that sound. Take a 42 00:02:44,919 --> 00:02:48,120 Speaker 1: guitar string, for example, pressing down on a string between 43 00:02:48,160 --> 00:02:51,520 Speaker 1: frets changes the length of the string, which changes the 44 00:02:51,560 --> 00:02:55,360 Speaker 1: strings number of vibrations per second, also known as its frequency. 45 00:02:55,760 --> 00:02:58,480 Speaker 1: We perceive sounds with a higher frequency as having a 46 00:02:58,560 --> 00:03:02,640 Speaker 1: higher pitch. The interconnection of Vauxell's changes sound in a 47 00:03:02,680 --> 00:03:06,000 Speaker 1: similar way as it passes through the system. Some filters 48 00:03:06,080 --> 00:03:10,240 Speaker 1: can muffle certain frequencies, while some boost others. There are 49 00:03:10,240 --> 00:03:13,320 Speaker 1: no moving parts and no need for electricity. It's a 50 00:03:13,400 --> 00:03:17,720 Speaker 1: purely physical phenomenon. With this technology, you could also create 51 00:03:17,760 --> 00:03:20,400 Speaker 1: a type of acoustic tagging for products, kind of like 52 00:03:20,440 --> 00:03:24,160 Speaker 1: a sound based QR code. The engineers demonstrated this with 53 00:03:24,280 --> 00:03:28,880 Speaker 1: three D printed octopuses. I love these guys. Each octopus 54 00:03:28,919 --> 00:03:32,200 Speaker 1: had a slightly different configuration of voxels inside it, and 55 00:03:32,320 --> 00:03:35,880 Speaker 1: app on a smartphone generated a specific noise. Holding the 56 00:03:35,920 --> 00:03:38,680 Speaker 1: phone speaker against one of the octopus is. The noise 57 00:03:38,800 --> 00:03:41,960 Speaker 1: traveled through the boxes inside and came out with a 58 00:03:41,960 --> 00:03:45,360 Speaker 1: different tone. The phones might picked up the new sound 59 00:03:45,480 --> 00:03:48,640 Speaker 1: and the app identified the octopus. The app could identify 60 00:03:48,760 --> 00:03:52,880 Speaker 1: different cephalopods by their unique sounds. Ultimately, I think the 61 00:03:53,040 --> 00:03:56,360 Speaker 1: simple technology's most important use will be to allow for 62 00:03:56,400 --> 00:03:59,240 Speaker 1: an entire hippo orchestra to play the music of John 63 00:03:59,280 --> 00:04:02,680 Speaker 1: Williams Dream of That Day, A dream of It a lot. 64 00:04:06,800 --> 00:04:09,400 Speaker 1: Next up, Holly Fry, co host of Our Stuff He 65 00:04:09,440 --> 00:04:12,440 Speaker 1: Missed in History Class podcast, brings us the story of 66 00:04:12,560 --> 00:04:15,760 Speaker 1: life saving drones. The technology has a little bit of 67 00:04:15,760 --> 00:04:18,799 Speaker 1: a bad rap because of the public's understandable concerns about 68 00:04:18,800 --> 00:04:21,479 Speaker 1: privacy and air safety, but a team is hoping to 69 00:04:21,600 --> 00:04:24,240 Speaker 1: use it to eradicate land mines all over the world 70 00:04:24,600 --> 00:04:30,520 Speaker 1: within the next ten years. A group working out of 71 00:04:30,520 --> 00:04:35,600 Speaker 1: the Netherlands is developing a landmine sweeping drone. Despite ongoing 72 00:04:35,640 --> 00:04:39,000 Speaker 1: global efforts to ban anti personnel land mines, they're still 73 00:04:39,080 --> 00:04:41,680 Speaker 1: used in a lot of countries. They've been a common 74 00:04:41,680 --> 00:04:45,040 Speaker 1: part of warfare since the nineteen thirties, but when wars 75 00:04:45,040 --> 00:04:48,320 Speaker 1: and conflicts end, it's not as though those explosive devices 76 00:04:48,400 --> 00:04:53,360 Speaker 1: just evaporate. They remain underground and unmarked, ready to detonate. 77 00:04:55,200 --> 00:04:57,560 Speaker 1: There were a total of three thousand, six hundred and 78 00:04:57,600 --> 00:05:01,159 Speaker 1: seventy eight recorded landmine detonation, and those are just the 79 00:05:01,160 --> 00:05:04,120 Speaker 1: ones we know about. Nearly eight percent of those who 80 00:05:04,120 --> 00:05:07,159 Speaker 1: were injured or killed in those blasts were civilians, and 81 00:05:07,200 --> 00:05:12,640 Speaker 1: nearly of those civilians or children. In recent news, even 82 00:05:12,680 --> 00:05:16,800 Speaker 1: the wildly popular Pokemon Go game has been affected. Players 83 00:05:16,800 --> 00:05:19,600 Speaker 1: in Bosnia have been warned about minds that were left 84 00:05:19,640 --> 00:05:23,599 Speaker 1: over from conflicts in the nineteen nineties. Getting rid of 85 00:05:23,640 --> 00:05:27,640 Speaker 1: all that ordinance is no small task, and it's dangerous. 86 00:05:28,200 --> 00:05:32,320 Speaker 1: Current methods of removal involved sniffer animals, human d miners 87 00:05:32,320 --> 00:05:36,599 Speaker 1: with metal detectors, or large detonation vehicles, and those methods 88 00:05:36,600 --> 00:05:39,040 Speaker 1: can be slow and costly, and they come with a 89 00:05:39,120 --> 00:05:44,440 Speaker 1: high risk. Enter the mind Sweeping drone. Now this isn't 90 00:05:44,480 --> 00:05:47,520 Speaker 1: the first time project founder Massoud Hassani and his team 91 00:05:47,520 --> 00:05:49,760 Speaker 1: have built a robot to get rid of land mines. 92 00:05:50,320 --> 00:05:54,640 Speaker 1: In they created a device called mine Cafone. It's sort 93 00:05:54,640 --> 00:05:57,919 Speaker 1: of like a robotic tumbleweed. It rolls through mine fields 94 00:05:57,920 --> 00:06:00,280 Speaker 1: and when it finds a mine, it blows up both 95 00:06:00,320 --> 00:06:04,040 Speaker 1: itself and the mine. Now, the mind Caphone team has 96 00:06:04,080 --> 00:06:07,880 Speaker 1: developed a drone based mine eradicator that will further reduce 97 00:06:07,960 --> 00:06:11,320 Speaker 1: both the cost and the risk of demining. It uses 98 00:06:11,360 --> 00:06:15,040 Speaker 1: a series of modular robotic attachments that can be interchanged. 99 00:06:16,040 --> 00:06:20,040 Speaker 1: So first, the Mincaphone drone uses a mapping system attachment 100 00:06:20,120 --> 00:06:23,320 Speaker 1: to make a three D map of the entire designated area, 101 00:06:23,920 --> 00:06:26,440 Speaker 1: and then a metal detector is attached to it and 102 00:06:26,480 --> 00:06:31,000 Speaker 1: it uses that plus GPS to locate and identify mine locations. 103 00:06:31,520 --> 00:06:34,000 Speaker 1: And then in the final step, that metal detector is 104 00:06:34,040 --> 00:06:38,040 Speaker 1: swapped out for a robotic gripping arm which carefully places 105 00:06:38,120 --> 00:06:42,080 Speaker 1: detonators on the identified mines. The mines are then triggered 106 00:06:42,120 --> 00:06:44,640 Speaker 1: and eliminated, and the drone can move on to its 107 00:06:44,680 --> 00:06:48,880 Speaker 1: next location. Right now, the mine Caphone Foundation is running 108 00:06:48,920 --> 00:06:52,359 Speaker 1: a Kickstarter so they can finish development and start testing 109 00:06:52,360 --> 00:06:57,280 Speaker 1: the technology in the field. The project is incredibly ambitious. 110 00:06:57,600 --> 00:07:00,520 Speaker 1: Hasani has a goal to eradicate all of the minds 111 00:07:00,560 --> 00:07:03,080 Speaker 1: on the planet in the space of just ten years. 112 00:07:03,560 --> 00:07:06,360 Speaker 1: But according to the kickstarter pitch, this method is twenty 113 00:07:06,440 --> 00:07:10,080 Speaker 1: times faster at ferreting out and detonating minds and at 114 00:07:10,080 --> 00:07:20,720 Speaker 1: a cost two hundred times cheaper than existing technologies. Finally, 115 00:07:20,800 --> 00:07:23,720 Speaker 1: this week, senior writer Robert Lamb finally found a story 116 00:07:23,760 --> 00:07:26,040 Speaker 1: that grossed me out. An artist by the name of 117 00:07:26,080 --> 00:07:29,200 Speaker 1: Tina Gorjank has proposed growing human leather from the sample 118 00:07:29,240 --> 00:07:32,240 Speaker 1: of Alexander McQueen's DNA. She wants to make it into 119 00:07:32,280 --> 00:07:36,200 Speaker 1: bags and leatherware, and more importantly, raise awareness about the 120 00:07:36,200 --> 00:07:39,760 Speaker 1: potential for lab grown leather and raise questions about genetic 121 00:07:39,760 --> 00:07:45,480 Speaker 1: ownership rights. Goor Jenk's project at London Central St Martin's 122 00:07:45,520 --> 00:07:48,840 Speaker 1: Fashion School revolves around the creation of a very special 123 00:07:48,880 --> 00:07:51,600 Speaker 1: sort of leather. Instead of harvesting it from a cow 124 00:07:51,800 --> 00:07:54,600 Speaker 1: or other non human animal, she plans to grow the 125 00:07:54,680 --> 00:07:58,320 Speaker 1: skin of deceased fashion designer Alexander McQueen and make it 126 00:07:58,320 --> 00:08:02,040 Speaker 1: into handbags and jackets, flesh colored items that will feature 127 00:08:02,120 --> 00:08:06,200 Speaker 1: McQueen's distinguishing marks and tattoos. The starting point for this 128 00:08:06,280 --> 00:08:09,520 Speaker 1: grizzly glam fashion venture is a sample of McQueen's own 129 00:08:09,600 --> 00:08:13,240 Speaker 1: hair used in his silk coat titled Jack the Rippers 130 00:08:13,280 --> 00:08:16,160 Speaker 1: Stalks his victims see he probably would have dug the project. 131 00:08:16,400 --> 00:08:19,800 Speaker 1: The DNA will be manipulated and grown out into skin, tanned, 132 00:08:19,840 --> 00:08:24,520 Speaker 1: and finally processed into human leather. The technology here emerges 133 00:08:24,560 --> 00:08:27,480 Speaker 1: from the room of Synthetic Biology, an exciting area of 134 00:08:27,480 --> 00:08:29,960 Speaker 1: biotechnology that has already led to the creation of lab 135 00:08:30,000 --> 00:08:33,800 Speaker 1: grown skin, grass and synthetic organs. The ultimate possibilities are 136 00:08:33,840 --> 00:08:38,440 Speaker 1: truly transhumanist in nature, entailing everything from engineer disease immunity 137 00:08:38,640 --> 00:08:43,160 Speaker 1: to enhance longevity. But cutting edge science sometimes outpaces our 138 00:08:43,200 --> 00:08:47,000 Speaker 1: ability to understand all the ramifications, and that's where art 139 00:08:47,080 --> 00:08:49,760 Speaker 1: enters the picture. Gorgen copes to push the notion of 140 00:08:49,800 --> 00:08:53,400 Speaker 1: sustainable slaughter free lab grown leather, but the project is 141 00:08:53,440 --> 00:08:56,959 Speaker 1: also about the lack of rights concerning our own genetic information. 142 00:08:57,559 --> 00:09:00,559 Speaker 1: See the project here is unapproved by either McQueen family 143 00:09:00,720 --> 00:09:03,439 Speaker 1: or fashion brand. She snagged the DNA from a hair 144 00:09:03,520 --> 00:09:06,160 Speaker 1: sample and has already filed a patent for the resulting 145 00:09:06,280 --> 00:09:09,920 Speaker 1: leather material based on its singular source and creation process 146 00:09:10,480 --> 00:09:13,440 Speaker 1: is bioephesis. Glenn Cohen pointed out on the website. Courts 147 00:09:13,600 --> 00:09:16,880 Speaker 1: the UK and United States afford little or no ownership 148 00:09:16,880 --> 00:09:20,880 Speaker 1: protection to abandon tissues. A wizard can come along stuff 149 00:09:20,920 --> 00:09:23,240 Speaker 1: of voodoo doll full of your hair clippings, and there's 150 00:09:23,360 --> 00:09:25,840 Speaker 1: nothing you can do about it. The same potentially goes 151 00:09:25,880 --> 00:09:29,040 Speaker 1: for real world cloning and synthetic tissue growth. We're drifting 152 00:09:29,040 --> 00:09:31,959 Speaker 1: into largely uncharted legal waters here, at least as far 153 00:09:32,040 --> 00:09:35,720 Speaker 1: as luxury items made from dead celebrities go. So while 154 00:09:35,720 --> 00:09:38,560 Speaker 1: the fun question here is, Hey, which Oscar winner would 155 00:09:38,600 --> 00:09:40,800 Speaker 1: you wear as a pair of slacks, the more pressing 156 00:09:40,800 --> 00:09:43,920 Speaker 1: issue is who owns your genetic information? And how much 157 00:09:43,960 --> 00:09:47,520 Speaker 1: privacy can you expect concerning all the scraps of discarded 158 00:09:47,559 --> 00:09:53,440 Speaker 1: hair and skin you leave in your weight each day? 159 00:09:54,800 --> 00:09:57,160 Speaker 1: And that's our show for this week. Thank you so 160 00:09:57,240 --> 00:09:59,880 Speaker 1: much for tuning in. Subscribe now for more of the late, 161 00:10:00,000 --> 00:10:03,079 Speaker 1: best and strangest science news, and send us links to 162 00:10:03,080 --> 00:10:06,080 Speaker 1: anything you'd like to hear us cover, plus whatever cute 163 00:10:06,120 --> 00:10:08,760 Speaker 1: animal video you're digging on today, I could use it. 164 00:10:09,080 --> 00:10:11,400 Speaker 1: Shoot us an email at now podcast at how stuff 165 00:10:11,400 --> 00:10:14,800 Speaker 1: works dot com, and to access thousands of other stories 166 00:10:14,840 --> 00:10:17,880 Speaker 1: like these, check out our home planet Now dot how 167 00:10:17,920 --> 00:10:23,600 Speaker 1: stuff works dot com