WEBVTT

00:00:08.300 --> 00:00:11.860
My name is Ale Flores, and I'm product
manager at Alexa.

00:00:12.500 --> 00:00:15.220
My name is Dr. Chelsea Haupt. I work at the Allen Institute for Artificial Intelligence,

00:00:15.360 --> 00:00:19.500
and I work on an AI-powered academic search engine.

00:00:21.180 --> 00:00:26.020
All around you, computers are making
decisions, and those decisions affect

00:00:26.020 --> 00:00:31.259
your daily life. When you do an internet
search or scroll through your newsfeed,

00:00:31.260 --> 00:00:34.360
computers decide what you see.

00:00:34.360 --> 00:00:39.060
Computers can already recognize your face and understand your voice,

00:00:39.060 --> 00:00:44.080
soon they'll be driving cars and detecting diseases, even better than humans.

00:00:44.480 --> 00:00:46.900
So how is any of this possible?

00:00:47.520 --> 00:00:52.960
You may have heard of something called AI or artificial intelligence.

00:00:53.320 --> 00:00:56.780
True artificial intelligence is decades away.

00:00:57.200 --> 00:01:01.520
But a type of AI is here today, called Machine Learning.

00:01:01.520 --> 00:01:05.360
It's a type of AI you probably interact with every day, without knowing it.

00:01:05.360 --> 00:01:10.700
It has the opportunity to help us tackle some of the world's biggest challenges.

00:01:12.660 --> 00:01:18.180
Machine learning is how computers recognize patterns, and make decisions

00:01:18.180 --> 00:01:21.360
without being explicitly programmed.

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

00:01:27.580 --> 00:01:29.620
what we've ever done before.

00:01:31.340 --> 00:01:36.860
With machine learning, instead of programming a computer step by step,

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.

00:01:44.560 --> 00:01:48.880
Learning comes from experience, and that's true for machine learning too.

00:01:49.280 --> 00:01:53.700
In this case, "experience" means lots and lots of data.

00:01:54.500 --> 00:01:57.560
Machine learning can take in any kind of data:

00:01:57.560 --> 00:02:04.520
Images, video, audio, or text, and begin to
recognize patterns in that data.

00:02:06.300 --> 00:02:11.120
Once it learns to recognize patterns in the data, it can also learn to make predictions

00:02:11.120 --> 00:02:12.980
based on those patterns.

00:02:13.340 --> 00:02:18.420
Like noticing the difference between an image of a car, and an image of a bicycle.

00:02:20.600 --> 00:02:26.200
AI and machine learning are playing a bigger and bigger role in society at large,

00:02:26.640 --> 00:02:29.000
and shaping all of our futures.

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.

00:02:35.000 --> 00:02:39.000
You're about to get the chance to train your own machine learning model.

00:02:40.940 --> 00:02:47.020
Remember, AI is like any tool: first you get the knowledge, then you get the power!