Artificial Intelligent

After the welcoming and self introducing.

We will start by mentioning that ” I have no doubt you are using the computer every day for gaming, do homework, and even learn as we do know.” then we will open a space of time for them to ask a concern ” Have you ever thought the computer would be smarter than we are? ” .

One Minute would be enough to hear them saying yes and no.

you can ask them to justify their opinions or just end it by giving a good answer regarding what you believe.

For me : ” we invented these machine how could it be smarter!! ”

Simply here we are just going to give some examples about things that the human made.

Also, clarify that Artificial is any thing human made before and is going to make in the future.

Here we are going to tell them what is the definition of Intelligent then we will give an example “ Imagine you touch a stove and it’s hot and your hand burns. Two days later, you are in front of another stove. Would you touch the stove without thinking? Or would you remember how you burned your hand and try to figure out if the stove is hot before you touch it?“

( All of them would say No we won’t touch it)

so we can tell them this is an intelligent choice by using your previous knowledge to take advantage of it in the future.”This is Intelligent”

We will start telling that “AI” is referred to Artificial Intelligent.

Then we will clarify the expression “Artificial Intelligent” its the ability to make the machine can think and learn.

( We want to make the computer smart ) .

AI has many parts but these are the main three.

Data : is every thing in this life and any thing could be consider under data; for them to understand go back and refer to the example of the intelligent, tell them the hand is a data, stove is data, fire is data, and burn is data.

Algorithms : is the way we use to link data together and its simply a mathematics equation for example ( hand + fire = burn ) here we built a link between the data and this what algorithms do.

Prediction : is the result of the algorithm or the equation ( burn means he will get hurt ).

Besides, you can give one more example the picture in the slide above shows a robot want to make a sorting for disks inside a known area.

Data : Disks, Area, disk place, and capacity.

Algorithm : is the way of connecting these data together to sort the disks.

9 disks = fixed area * disk place (variable)

10 disks fixed area * disk place (variable)

Prediction : Disk place

So the idea here is to let them understand the way the computer thinks.

1- The first step here we want the kids to write how they can draw a rectangle in steps.

2- We will give them a hint by giving the first 3 steps for them.

3- Most of the kids will draw the rectangle neglecting the steps telling they finished.

4- We will go through the steps one by one.

5- Finally we can tell them that algorithms is just a recipe.

6- We can also give more example about recipes like ( Cake recipe ) , ( lunch meal recipe ) all of the recipes are simply an algorithms.

To understand machine learning we need courses to build a good knowledge about. so briefly machine learning is the study of algorithms computer uses to self learn through experience.

So here we want to simplify things by reflecting this on the human life cycle as when we born we know almost nothing ( 0 Knowledge ) and we start building our knowledge through “Try and fail”(experience) and this what we want to reflect to computer the ability to learn as we do human been through experience.

Briefly : “Giving the ability to think and learn to the computer”

Finally : a video discussing machine learning is the best way clarify. (The Video)

1- We should feed data to the machine to start learning and build a classifications between the needed objects. In our case we need to let the computer learn how to draw and how the shapes look like so we will use Google ( Quick Draw ).

2- This platform will ask the user to start draw specific object and the machine will start guessing what the user is drawing.

3- This technique is used to feed data to the computer to build connection between data.

4- This platform is used to draw with the computer, you decide what to draw, then you will start drawing and the computer will give many ways for your draw how to look like but finally its your decision.

5- This will show how the computer links between data

6- This platform will show how many prediction the computer can make for one object depends on the data we already fed to the computer before.

7- Here we will choose the needed object to draw and the computer will show you 9 different looks for your object at the same time.

8- This is the last platform (Auto Draw) to use which shows the final look of the “AI” with art applications which give you many predictions for what the user is trying to draw, beside the user can decide and make the customisation.

1- We can here build a whole image library on “Machine learning for kids” using IBM Watson API, This is really helpful it shows the student the first step of feeding data and how to group similar data together then how the computer is going to handle the operation on its own without any instruction from humans, finally after the learning process of the computer finishes we will be able to code scratch 3.0, app inventor, and python to make different projects.

2- The other way is just by showing the student some of the ready made projects using “AI” so they can build some imagination and also knowledge how it works in addition how spread its use in our real life.

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1- The first step to create a library project is to go to (Machine Learning for Kids)

2-Then we are going to create a teacher account.

3-After creating the account i suggest you to follow the notes on the site so you can prepare your account to be ready to accept making images and text library using Watson API’s from IBM.

4- We want now to create our project and decide the type of machine learning to use in my case I’m gona use the Image type then i will start feeding data to the library i will make a project to distinguish between RED, BLUE, and GREEN color.

5- To feed data go to train, then build your classification columns for now one for RED, other for BLUE, and the third one for GREEN. after that we will feed data to each classification so upload green objects to green column and so on for the others so the computer can handle the process later.