You may have heard A.I. (Artificial Intelligence,) before! You may have also used it, but how exactly does A.I. work?
A.I. uses neural networks, which is a way to analyze data like a human bra
in. It is adaptive, and is able to learn from its mistakes.
You may be wondering how A.I. works, and it’s simple to understand! A.I. has 3 different parts, the input layer, the hidden layer, and the output layer, and each layer is made up of nodes.
The input layer takes data from the prompt. The nodes analyzes the data, categorize the data, then sends the data to the next nodes.
The hidden layer can have infinite nodes, and infinite columns. It would take data from previous columns, analyzes and processes it more, before sending it to the next columns.
The output layer is the final result of the neural network. It would have enough nodes for what A.I. type this is. (Image Gen, Search, Detection, etc.) It could have 1 node, for yes/no questions, or more for other things.
A.I. learns through supervised training. Supervised training is where data scientists give the A.I. labeled information. For example, an image of a dog, explaining what breed of it. They do this for tons of images! Later, if you show the A.I. a picture of a dog, it would accurately predict the breed of the dog!
Let’s see what others say about A.I.
“Like all technology,” art teacher Mrs. Hedrick explains, “A.I. can be used for both bad and good.”
In the near future, A.I. will take jobs like bookkeepers, receptionists, and cashiers, because it would be faster than humans do, and it is more cost-efficient.
“I think A.I. can do amazing things,” 6/7 math teacher Mrs. Holten explains, “A.I. once helped me to make me 12 math problems in the time it would have took me to make one.”
A.I. was designed using advanced algorithms, and can compile vast amounts of data quickly.
One last fun fact is that A.I. only knows what it was programmed on, so when it gives an output, it is actually a prediction!
