0:00:08.300,0:00:11.860 My name is Ale Flores, and I'm product[br]manager at Alexa. 0:00:12.500,0:00:15.220 My name is Dr. Chelsea Haupt. I work at the Allen Institute for Artificial Intelligence, 0:00:15.360,0:00:19.500 and I work on an AI-powered academic search engine. 0:00:21.180,0:00:26.020 All around you, computers are making[br]decisions, and those decisions affect 0:00:26.020,0:00:31.259 your daily life. When you do an internet[br]search or scroll through your newsfeed, 0:00:31.260,0:00:34.360 computers decide what you see. 0:00:34.360,0:00:39.060 Computers can already recognize your face and understand your voice, 0:00:39.060,0:00:44.080 soon they'll be driving cars and detecting diseases, even better than humans. 0:00:44.480,0:00:46.900 So how is any of this possible? 0:00:47.520,0:00:52.960 You may have heard of something called AI or artificial intelligence. 0:00:53.320,0:00:56.780 True artificial intelligence is decades away. 0:00:57.200,0:01:01.520 But a type of AI is here today, called Machine Learning. 0:01:01.520,0:01:05.360 It's a type of AI you probably interact with every day, without knowing it. 0:01:05.360,0:01:10.700 It has the opportunity to help us tackle some of the world's biggest challenges. 0:01:12.660,0:01:18.180 Machine learning is how computers recognize patterns, and make decisions 0:01:18.180,0:01:21.360 without being explicitly programmed. 0:01:21.820,0:01:27.580 What's so exciting, is that it's a completely[br]different way to program a computer than 0:01:27.580,0:01:29.620 what we've ever done before. 0:01:31.340,0:01:36.860 With machine learning, instead of programming a computer step by step, 0:01:37.360,0:01:43.760 you can program to learn just like you learn, through trial and error, and lots of practice. 0:01:44.560,0:01:48.880 Learning comes from experience, and that's true for machine learning too. 0:01:49.280,0:01:53.700 In this case, "experience" means lots and lots of data. 0:01:54.500,0:01:57.560 Machine learning can take in any kind of data: 0:01:57.560,0:02:04.520 Images, video, audio, or text, and begin to[br]recognize patterns in that data. 0:02:06.300,0:02:11.120 Once it learns to recognize patterns in the data, it can also learn to make predictions 0:02:11.120,0:02:12.980 based on those patterns. 0:02:13.340,0:02:18.420 Like noticing the difference between an image of a car, and an image of a bicycle. 0:02:20.600,0:02:26.200 AI and machine learning are playing a bigger and bigger role in society at large, 0:02:26.640,0:02:29.000 and shaping all of our futures. 0:02:29.000,0:02:34.600 That's why it's so important to learn how it works, with some hands-on experience. 0:02:35.000,0:02:39.000 You're about to get the chance to train your own machine learning model. 0:02:40.940,0:02:47.020 Remember, AI is like any tool: first you get the knowledge, then you get the power!