AI supercomputer uses

Question

0:00
What do you think of when you hear artificial intelligence?
0:04
A really smart computer? A robot?
0:07
A self-driving car?
0:09
Would you be surprised to learn that you already use AI -- maybe everyday?
0:14
Hi, my name is Will and I work at Nvidia where my team runs the deep Learning Institute.
0:20
Will and Nvidia are developing artificial intelligence supercomputers that are being used in all sorts of applications
0:28
You've probably experienced AI and not even realized it! Have you ever watched a video online and
Video recommender example
0:35
afterward the computer listed other videos it thought you'd like?
0:40
This is actually a really complicated problem.
0:43
To figure out what you would like the computer searches through all the videos online looking for ones that are similar to videos you've watched.
0:51
Before you know it the computer has to search through billions of data points.
0:57
In computer science this is often called "big data"
1:00
Because there's so much information, the only way to do it quickly is to process it in parallel
1:06
This is called "parallel processing".
1:10
Parallel processing is where you take large numbers of things and process them all at the same time
1:16
To search through all of those billions of videos the computer can think about a lot of videos at the same time
1:23
Instead of one by one. This is a much better way to process data.
1:27
We use GPU parallel processors to work through that mountain of big data really quickly
1:34
GPUs can do really fast parallel processing
1:38
This is because they have thousands of processor cores that can analyze all the big data in parallel
1:44
This is what makes artificial intelligence understand big data
1:48
Just a few years ago AI was something you could only see in the movies.
1:53
Today it's helping doctors treat patients and engineers are working on building self-driving cars that will get us from point A to point B
2:00
Who knows what's going to come in the future, but it will be incredible!
2:04
Want to think like a computer scientist and think about ways to process your own big data?
2:10
Check out the activity on Curiosity Machine

As you watch the videos keep notes on examples of how they complete each step of the data analysis process.

Collect or Choose Data
Clean and/or Filter Data
Visualize and Find Patterns
New Information

Answer 1

Here's a brief outline of how the video describes the steps of the data analysis process, based on the content provided:

1. Collect or Choose Data

• Example: The computer collects significant amounts of data from various online videos that are similar to those the user has previously watched. This involves compiling data from billions of videos across the internet.

2. Clean and/or Filter Data

• Example: While the video does not explicitly mention cleaning and filtering, it can be inferred that the AI algorithm would need to refine its results to eliminate irrelevant or low-quality videos. This ensures that the recommendations are based on relevant criteria before presenting them to the user.

3. Visualize and Find Patterns

• Example: The AI identifies patterns in the videos that the user has watched, using these patterns to recommend similar videos. This process involves analyzing the characteristics and metadata of videos to find connections between them.

4. New Information

• Example: The outcome is the list of recommended videos presented to the user, which is based on their unique viewing habits and the analysis of what similar users have watched. This demonstrates how AI can generate insights (new information) by analyzing large data sets.

By following these steps, the AI effectively processes big data and offers personalized recommendations, showcasing the power and utility of artificial intelligence in everyday applications.

Answer 2

Rephrase the sentence in 8th grade sentences

Answer 3

Sure! Here’s a rephrased version of the steps of the data analysis process in simpler terms, suitable for an 8th-grade level:

1. Collect or Choose Data

• Example: The computer looks at a lot of online videos that are similar to the ones you’ve already watched. It finds data from billions of videos on the internet.

2. Clean and/or Filter Data

• Example: Although the video doesn’t talk about it directly, we can guess that the AI needs to sort through the data. It removes any videos that aren’t useful or don’t fit well before showing recommendations to the user.

3. Visualize and Find Patterns

• Example: The AI looks for patterns in the videos you’ve watched. It figures out what makes those videos similar so that it can suggest new ones you might like.

4. New Information

• Example: The result is a list of videos recommended just for you. This shows how AI can use information from lots of data to suggest new things based on your watching habits.

These steps highlight how artificial intelligence can quickly analyze large amounts of data to give personalized suggestions!