1 00:00:04,080 --> 00:00:07,480 Speaker 1: Welcome to Aaron Benky's Cabinet of Curiosities, a production of 2 00:00:07,480 --> 00:00:13,840 Speaker 1: I Heart Radio and Grim and Mild. Our world is 3 00:00:13,960 --> 00:00:17,960 Speaker 1: full of the unexplainable, and if history is an open book, 4 00:00:18,280 --> 00:00:21,640 Speaker 1: all of these amazing tales are right there on display, 5 00:00:22,000 --> 00:00:27,600 Speaker 1: just waiting for us to explore. Welcome to the Cabinet 6 00:00:27,840 --> 00:00:39,519 Speaker 1: of Curiosities. Everybody has to start somewhere. To become a 7 00:00:39,680 --> 00:00:42,640 Speaker 1: great leader or an expert in a particular field takes 8 00:00:42,720 --> 00:00:45,680 Speaker 1: years of experience. A person doesn't go from an entry 9 00:00:45,720 --> 00:00:49,280 Speaker 1: level position to the corner office overnight. One must work 10 00:00:49,320 --> 00:00:53,040 Speaker 1: their way up the ranks until they reach the top. Unfortunately, 11 00:00:53,200 --> 00:00:55,800 Speaker 1: some doors are closed so tight you can't even get 12 00:00:55,800 --> 00:00:58,560 Speaker 1: a toe in, let alone a whole foot. Sometimes you 13 00:00:58,560 --> 00:01:00,320 Speaker 1: have to take matters into your own hand. Ends to 14 00:01:00,320 --> 00:01:03,600 Speaker 1: get noticed, like James Dyson, who was so angry that 15 00:01:03,680 --> 00:01:06,399 Speaker 1: his vacuum kept breaking, he took it apart to see 16 00:01:06,400 --> 00:01:09,200 Speaker 1: how it worked. It turned out that a critical design 17 00:01:09,280 --> 00:01:11,640 Speaker 1: flaw was the cause of his problems, so he got 18 00:01:11,640 --> 00:01:14,520 Speaker 1: to work on a new kind of vacuum design, and 19 00:01:14,720 --> 00:01:17,880 Speaker 1: unlike the other models on the market, his didn't need 20 00:01:17,959 --> 00:01:22,200 Speaker 1: a bag. Dyson built over five thousand prototypes before finding 21 00:01:22,240 --> 00:01:26,000 Speaker 1: one that worked, doors were shut in his face, Manufacturers 22 00:01:26,040 --> 00:01:28,880 Speaker 1: refused to make it, and retailers wouldn't carry it in 23 00:01:28,880 --> 00:01:32,039 Speaker 1: their stores. It took a long long time before those 24 00:01:32,080 --> 00:01:36,200 Speaker 1: stores and their customers saw the benefits of a Dyson vacuum, 25 00:01:36,240 --> 00:01:40,480 Speaker 1: but once they did, the rest was history. Stewart Freeborn 26 00:01:40,640 --> 00:01:43,280 Speaker 1: was another person with a dream, one that he was 27 00:01:43,319 --> 00:01:45,600 Speaker 1: going to make come true, no matter what it took. 28 00:01:46,080 --> 00:01:50,320 Speaker 1: Born in London in nineteen fourteen, Freeborn was fascinated with makeup, 29 00:01:50,640 --> 00:01:53,880 Speaker 1: but not the fashion kind. The idea of dressing up 30 00:01:53,920 --> 00:01:58,040 Speaker 1: to look like someone or something else fascinated him, and 31 00:01:58,120 --> 00:02:00,560 Speaker 1: as he got older, he grew into did in the 32 00:02:00,640 --> 00:02:04,000 Speaker 1: chemistry of different plastics, learning how they were made and 33 00:02:04,040 --> 00:02:07,680 Speaker 1: how they affected the human skin when applied, and he 34 00:02:07,760 --> 00:02:10,400 Speaker 1: knew exactly how he wanted to put his experience to 35 00:02:10,560 --> 00:02:15,079 Speaker 1: use in the movies. Freeborn's father, an insurance broker, begged 36 00:02:15,120 --> 00:02:18,200 Speaker 1: him to join the family business, but Stewart couldn't shake 37 00:02:18,280 --> 00:02:21,720 Speaker 1: his love of movie magic. He even started sneaking onto 38 00:02:21,760 --> 00:02:24,760 Speaker 1: the lots of shows whenever he was able to, and 39 00:02:24,960 --> 00:02:28,320 Speaker 1: just like Dyson in his early days, no one was interested. 40 00:02:28,760 --> 00:02:32,639 Speaker 1: Refusing to give up, Freeborn made a bold move in Nive, 41 00:02:32,680 --> 00:02:35,359 Speaker 1: he called up the local newspapers and studios to let 42 00:02:35,360 --> 00:02:38,919 Speaker 1: them know that Highly Selassie, the Emperor of Ethiopia, had 43 00:02:39,000 --> 00:02:42,160 Speaker 1: arrived in London. Not long after, the Emperor was seen 44 00:02:42,280 --> 00:02:47,200 Speaker 1: driving around Freeborn's neighborhood, that is, until the police detained him. 45 00:02:47,280 --> 00:02:50,280 Speaker 1: Unfortunately for them, all they had caught was an ambitious 46 00:02:50,320 --> 00:02:53,440 Speaker 1: young makeup artist in a fake beard and nose prosthetic 47 00:02:53,480 --> 00:02:56,600 Speaker 1: looking for his big break, and his stunt didn't even 48 00:02:56,680 --> 00:02:59,560 Speaker 1: land him a job. It wasn't until a British director 49 00:02:59,639 --> 00:03:03,040 Speaker 1: named Alexander Korda took a chance on him, giving Freeborn 50 00:03:03,160 --> 00:03:05,800 Speaker 1: some work on period dramas being filmed at the time. 51 00:03:06,840 --> 00:03:08,920 Speaker 1: One of his first major productions was that of a 52 00:03:09,000 --> 00:03:13,000 Speaker 1: nineteen forty eight adaptation of Oliver Twist by Charles Dickens. 53 00:03:13,040 --> 00:03:15,799 Speaker 1: The role of Fagin would be played by Alec Guinness, 54 00:03:15,840 --> 00:03:19,040 Speaker 1: someone whom Freeborn would work with again on such films 55 00:03:19,080 --> 00:03:21,919 Speaker 1: as The Bridge Over the River Quai in nineteen fifty seven, 56 00:03:22,160 --> 00:03:24,919 Speaker 1: as well as a little science fiction film being shot 57 00:03:24,960 --> 00:03:28,720 Speaker 1: in the Tunessee and Deserts in nineteen seventy seven. In fact, 58 00:03:28,760 --> 00:03:32,480 Speaker 1: Freeborn was responsible for many of Star Wars colorful characters, 59 00:03:32,760 --> 00:03:37,120 Speaker 1: including one fan favorite. In particular, Concept artist Ralph mcquarie 60 00:03:37,280 --> 00:03:41,080 Speaker 1: had imagined Han Solo's loyal Wookie partner, Chewbacca, as a 61 00:03:41,160 --> 00:03:44,720 Speaker 1: seven foot tall monster with a misshapen head, yellow eyes, 62 00:03:45,000 --> 00:03:48,760 Speaker 1: sharp teeth, of vests and boots. Freeborn put his own 63 00:03:48,800 --> 00:03:51,920 Speaker 1: spin on the character, making him more doglike in appearance 64 00:03:52,160 --> 00:03:55,360 Speaker 1: and replacing his vest with the bandalier. The result was 65 00:03:55,440 --> 00:03:58,040 Speaker 1: a gentle giant with an iconic growl who would go 66 00:03:58,080 --> 00:04:02,680 Speaker 1: on to save the galaxy numerous times. The film's sequel, however, 67 00:04:02,880 --> 00:04:06,200 Speaker 1: had a unique problem. A new creature was needed, and 68 00:04:06,320 --> 00:04:09,760 Speaker 1: it too was required to look unique, something to set 69 00:04:09,760 --> 00:04:12,640 Speaker 1: it apart from the other characters that Freeborn had designed, 70 00:04:13,040 --> 00:04:15,600 Speaker 1: and so he turned to two unlikely places from which 71 00:04:15,640 --> 00:04:20,599 Speaker 1: to draw inspiration. A mirror at a photograph of Albert Einstein. 72 00:04:21,400 --> 00:04:24,800 Speaker 1: Upon seeing his own reflection, Freeborn noticed the topography of 73 00:04:24,880 --> 00:04:27,640 Speaker 1: his face, how the lines and bumps told the story. 74 00:04:28,120 --> 00:04:30,960 Speaker 1: He was older and more experienced than he had been 75 00:04:31,000 --> 00:04:33,640 Speaker 1: in his youth, and he lost so much of his hair. 76 00:04:34,360 --> 00:04:37,040 Speaker 1: As for Einstein, it was his eyes that had captivated 77 00:04:37,040 --> 00:04:39,200 Speaker 1: the artist the most. They were the eyes of a 78 00:04:39,320 --> 00:04:42,719 Speaker 1: quiet and wise man, and they were surrounded by Wrinkles. 79 00:04:43,160 --> 00:04:46,120 Speaker 1: Freeborn combined all the features the creases of his own 80 00:04:46,160 --> 00:04:49,960 Speaker 1: weathered face with Einstein's sunken eyes to create one of 81 00:04:50,000 --> 00:04:53,960 Speaker 1: the most recognizable characters in the entire Star Wars universe, 82 00:04:54,720 --> 00:05:11,039 Speaker 1: the two foot tall Jedi master Yoda. The funny thing 83 00:05:11,120 --> 00:05:14,360 Speaker 1: about technology is that not only is it constantly changing, 84 00:05:14,520 --> 00:05:17,839 Speaker 1: it's changing us as well. How we work and the 85 00:05:17,880 --> 00:05:20,920 Speaker 1: way we think are ever evolving thanks to Breakthrough is 86 00:05:20,960 --> 00:05:24,640 Speaker 1: happening every day. Telephones used to be bound to wires 87 00:05:24,640 --> 00:05:28,480 Speaker 1: in our homes and offices. As satellites and wireless technology 88 00:05:28,520 --> 00:05:32,159 Speaker 1: spread across the world, landlines gave way to cell phones. Today, 89 00:05:32,200 --> 00:05:34,479 Speaker 1: the devices we carry in our pockets are no longer 90 00:05:34,600 --> 00:05:38,240 Speaker 1: used only for voice communication. We record our lives using 91 00:05:38,279 --> 00:05:40,919 Speaker 1: their built in cameras. We can look up any fact 92 00:05:41,000 --> 00:05:43,880 Speaker 1: on the Internet, or post our every thought in two 93 00:05:43,960 --> 00:05:47,960 Speaker 1: hundred and forty characters or less. In other words, we've 94 00:05:48,000 --> 00:05:52,159 Speaker 1: come a long way today. We're the ones doing the changing. 95 00:05:52,520 --> 00:05:54,839 Speaker 1: The more we share about our lives, the more selfies 96 00:05:54,880 --> 00:05:57,320 Speaker 1: we post and ads we pick up on, the more 97 00:05:57,360 --> 00:06:01,440 Speaker 1: our technology learns about us, our behavior, years are buying habits, 98 00:06:01,480 --> 00:06:04,600 Speaker 1: even what we look like. This information can be used 99 00:06:04,600 --> 00:06:07,279 Speaker 1: to influence the things we purchase or make it easy 100 00:06:07,360 --> 00:06:10,960 Speaker 1: for governments to track us down. But for Hasashi Canby, 101 00:06:11,040 --> 00:06:15,680 Speaker 1: it made it easier to identify pastries. Cambay founded Brain 102 00:06:15,720 --> 00:06:20,520 Speaker 1: Company Ltd. In n after spending several years designing computerized 103 00:06:20,520 --> 00:06:23,760 Speaker 1: graphics systems. His work could be seen on nightly news 104 00:06:23,800 --> 00:06:28,440 Speaker 1: programs displaying baseball scores and monetary exchange rates. From there, 105 00:06:28,560 --> 00:06:32,560 Speaker 1: Camba moved on to digitizing the textile industry. He replaced 106 00:06:32,560 --> 00:06:35,160 Speaker 1: the handwritten card system that had been used to program 107 00:06:35,240 --> 00:06:39,000 Speaker 1: looms with an automated computer program. This resulted in fewer 108 00:06:39,040 --> 00:06:43,599 Speaker 1: mistakes and less wasted fabric. As the years progressed, Brain 109 00:06:43,720 --> 00:06:47,919 Speaker 1: continued to innovate with applications for bridge engineers, students, and 110 00:06:48,160 --> 00:06:51,280 Speaker 1: other kinds of textile manufacturers. But it was in two 111 00:06:51,360 --> 00:06:55,000 Speaker 1: thousand seven when everything changed. A restaurant chain was about 112 00:06:55,040 --> 00:06:57,599 Speaker 1: to venture into the baking business, and if it wanted 113 00:06:57,600 --> 00:07:01,680 Speaker 1: to compete, it had to offer a wide variety of pastries. Now, 114 00:07:01,720 --> 00:07:04,239 Speaker 1: in America, a bakery might sell a handful of different 115 00:07:04,320 --> 00:07:07,600 Speaker 1: kinds of cookies, cakes, and other goods. In Japan, though, 116 00:07:07,800 --> 00:07:12,400 Speaker 1: the most successful pastry shops sold hundreds of varieties. Unfortunately, 117 00:07:12,520 --> 00:07:16,480 Speaker 1: that success came with complication. Most items were sold without 118 00:07:16,480 --> 00:07:20,080 Speaker 1: wrappers or bar codes, meaning cashiers had to memorize the 119 00:07:20,120 --> 00:07:23,240 Speaker 1: look and price of each pastry. They also had to 120 00:07:23,280 --> 00:07:27,040 Speaker 1: handle each individual item, and this process led along lines 121 00:07:27,120 --> 00:07:30,160 Speaker 1: and contamination by the cashiers. There had to be a 122 00:07:30,200 --> 00:07:32,960 Speaker 1: better way, and the Brain Company was going to find it. 123 00:07:33,920 --> 00:07:36,640 Speaker 1: They got to work on an artificial intelligence program to 124 00:07:36,720 --> 00:07:40,560 Speaker 1: assist in identifying pastries on a conveyor belt. It used 125 00:07:40,640 --> 00:07:43,920 Speaker 1: multiple algorithms to detect the features of different kinds of 126 00:07:43,960 --> 00:07:48,000 Speaker 1: baked goods, something they referred to as computer vision, but 127 00:07:48,120 --> 00:07:51,160 Speaker 1: it was a tough task. For example, a croissant might 128 00:07:51,200 --> 00:07:54,480 Speaker 1: not always be crescent shaped, and some pastries looked just 129 00:07:54,600 --> 00:07:57,360 Speaker 1: like others in shape and size, the only difference being 130 00:07:57,400 --> 00:08:00,480 Speaker 1: their fillings or if they had sugar on top. Can 131 00:08:00,560 --> 00:08:03,080 Speaker 1: bas team kept working, though, even as the two thousand 132 00:08:03,160 --> 00:08:05,920 Speaker 1: eight financial crisis threatened to shut them down for good, 133 00:08:06,360 --> 00:08:09,640 Speaker 1: and as other projects lost funding due to budget cuts. 134 00:08:09,680 --> 00:08:12,960 Speaker 1: He poured one percent of his remaining resources into the 135 00:08:13,080 --> 00:08:18,000 Speaker 1: pastry project. Brain rewrote its algorithms, weaving them together with 136 00:08:18,080 --> 00:08:22,280 Speaker 1: complicated camera systems and lights. They also accounted for variations 137 00:08:22,280 --> 00:08:24,680 Speaker 1: like if a doughnut got split in half on the 138 00:08:24,720 --> 00:08:27,720 Speaker 1: conveyor belt, with the program know that two pieces were 139 00:08:27,760 --> 00:08:30,640 Speaker 1: meant to go together, or if multiple items were touching, 140 00:08:30,680 --> 00:08:33,840 Speaker 1: would it understand that they weren't. One giant pastry can 141 00:08:33,920 --> 00:08:37,120 Speaker 1: based team had it covered. By the time they were finished, 142 00:08:37,160 --> 00:08:40,280 Speaker 1: the Bakery Scan platform was able to recognize dozens of 143 00:08:40,360 --> 00:08:43,960 Speaker 1: varieties of pastries with ninety eight percent accuracy, and it 144 00:08:44,040 --> 00:08:46,760 Speaker 1: was always learning too. The more the cashiers helped in 145 00:08:46,840 --> 00:08:50,320 Speaker 1: identifying questionable scans at the checkout line, the better the 146 00:08:50,320 --> 00:08:54,360 Speaker 1: program got it recognizing them the next time around. Bakery 147 00:08:54,400 --> 00:08:57,200 Speaker 1: Scan was a breakthrough, but it was only the beginning. 148 00:08:57,640 --> 00:09:00,319 Speaker 1: Another challenge was on the horizon, and it was about 149 00:09:00,320 --> 00:09:03,280 Speaker 1: to take Cambay's brain from the conveyor belt to the 150 00:09:03,320 --> 00:09:07,640 Speaker 1: oncology ward you see. Ten years after bakery Scans inception, 151 00:09:07,760 --> 00:09:11,240 Speaker 1: a doctor at Kyoto's Louis Pasture Center for Medical Research 152 00:09:11,559 --> 00:09:14,200 Speaker 1: saw a story about it on the news. The concept 153 00:09:14,240 --> 00:09:17,400 Speaker 1: intrigued him as someone who spent years looking at cancer 154 00:09:17,480 --> 00:09:21,080 Speaker 1: cells up close, because under the microscope they kind of 155 00:09:21,080 --> 00:09:24,720 Speaker 1: looked like bread, and he wondered if Canby's technology could 156 00:09:24,720 --> 00:09:29,480 Speaker 1: be used outside of the bakery and inside his research facility. 157 00:09:29,920 --> 00:09:33,560 Speaker 1: So Brain modified the algorithms, and with the little engineering, 158 00:09:33,760 --> 00:09:37,640 Speaker 1: the new platform dubbed AI scan could now detect a 159 00:09:37,720 --> 00:09:40,880 Speaker 1: single cancer cell among a microscope slide full of other 160 00:09:41,000 --> 00:09:46,280 Speaker 1: healthier cells with accuracy. Today, this AI tech is being 161 00:09:46,400 --> 00:09:49,920 Speaker 1: used across all sorts of different industries like automotive and 162 00:09:49,960 --> 00:09:53,440 Speaker 1: even jet engineering, and it's still saving lives in the 163 00:09:53,480 --> 00:09:57,880 Speaker 1: medical field too, all thanks to a complicated request from 164 00:09:57,880 --> 00:10:00,760 Speaker 1: a bakery. And I think the big your lesson here 165 00:10:00,960 --> 00:10:05,040 Speaker 1: speaks for itself. Don't ever let people tell you that 166 00:10:05,160 --> 00:10:10,679 Speaker 1: pastries aren't good for you. I hope you've enjoyed today's 167 00:10:10,679 --> 00:10:14,320 Speaker 1: guided tour of the Cabinet of Curiosities. Subscribe for free 168 00:10:14,400 --> 00:10:17,040 Speaker 1: on Apple Podcasts, or learn more about the show by 169 00:10:17,160 --> 00:10:22,120 Speaker 1: visiting Curiosities podcast dot com. The show was created by 170 00:10:22,160 --> 00:10:25,800 Speaker 1: me Aaron Manky in partnership with how Stuff Works. I 171 00:10:25,880 --> 00:10:29,680 Speaker 1: make another award winning show called Lore, which is a podcast, 172 00:10:29,800 --> 00:10:32,720 Speaker 1: book series, and television show, and you can learn all 173 00:10:32,760 --> 00:10:36,320 Speaker 1: about it over at the World of Lore dot com. 174 00:10:36,320 --> 00:10:39,640 Speaker 1: And until next time, stay curious. Ye