1 00:00:08,300 --> 00:00:11,860 My name is Ale Flores, and I'm product manager at Alexa. 2 00:00:12,500 --> 00:00:15,220 My name is Dr. Chelsea Haupt. I work at the Allen Institute for Artificial Intelligence, 3 00:00:15,360 --> 00:00:19,500 and I work on an AI-powered academic search engine. 4 00:00:21,180 --> 00:00:26,020 All around you, computers are making decisions, and those decisions affect 5 00:00:26,020 --> 00:00:31,259 your daily life. When you do an internet search or scroll through your newsfeed, 6 00:00:31,260 --> 00:00:34,360 computers decide what you see. 7 00:00:34,360 --> 00:00:39,060 Computers can already recognize your face and understand your voice, 8 00:00:39,060 --> 00:00:44,080 soon they'll be driving cars and detecting diseases, even better than humans. 9 00:00:44,480 --> 00:00:46,900 So how is any of this possible? 10 00:00:47,520 --> 00:00:52,960 You may have heard of something called AI or artificial intelligence. 11 00:00:53,320 --> 00:00:56,780 True artificial intelligence is decades away. 12 00:00:57,200 --> 00:01:01,520 But a type of AI is here today, called Machine Learning. 13 00:01:01,520 --> 00:01:05,360 It's a type of AI you probably interact with every day, without knowing it. 14 00:01:05,360 --> 00:01:10,700 It has the opportunity to help us tackle some of the world's biggest challenges. 15 00:01:12,660 --> 00:01:18,180 Machine learning is how computers recognize patterns, and make decisions 16 00:01:18,180 --> 00:01:21,360 without being explicitly programmed. 17 00:01:21,820 --> 00:01:27,580 What's so exciting, is that it's a completely different way to program a computer than 18 00:01:27,580 --> 00:01:29,620 what we've ever done before. 19 00:01:31,340 --> 00:01:36,860 With machine learning, instead of programming a computer step by step, 20 00:01:37,360 --> 00:01:43,760 you can program to learn just like you learn, through trial and error, and lots of practice. 21 00:01:44,560 --> 00:01:48,880 Learning comes from experience, and that's true for machine learning too. 22 00:01:49,280 --> 00:01:53,700 In this case, "experience" means lots and lots of data. 23 00:01:54,500 --> 00:01:57,560 Machine learning can take in any kind of data: 24 00:01:57,560 --> 00:02:04,520 Images, video, audio, or text, and begin to recognize patterns in that data. 25 00:02:06,300 --> 00:02:11,120 Once it learns to recognize patterns in the data, it can also learn to make predictions 26 00:02:11,120 --> 00:02:12,980 based on those patterns. 27 00:02:13,340 --> 00:02:18,420 Like noticing the difference between an image of a car, and an image of a bicycle. 28 00:02:20,600 --> 00:02:26,200 AI and machine learning are playing a bigger and bigger role in society at large, 29 00:02:26,640 --> 00:02:29,000 and shaping all of our futures. 30 00:02:29,000 --> 00:02:34,600 That's why it's so important to learn how it works, with some hands-on experience. 31 00:02:35,000 --> 00:02:39,000 You're about to get the chance to train your own machine learning model. 32 00:02:40,940 --> 00:02:47,020 Remember, AI is like any tool: first you get the knowledge, then you get the power!