About
CORE 456
This week in class. . .
Neural Networks
Artificial Intelligence(AI) is an amazing piece of technology that we have become accustomed to. AI how we think of it, however, is actually a broad field. What we think of as AI is actually machine learning, which is a subfield of AI. Furthermore, neural networks are a subfield of machine learning. The way these networks work is taking in a specific number of inputs that are interpreted through a number of hidden layers. These hidden layers can be thought of as the thought process. They allow the network to interpret the information and spit out the most accurate output.
When we think of pixels we think of the tiny light displays on our tv’s and themore there are the more clearly we can see our movie. Well try thinking of neural networks within these pixels. Imagine each pixel is an input, this input will be taken into consideration through the hidden layers allowing our network to interpret what is in front of them. The same way we can see our tv more clearly with more pixels, is the same way that neural networks can be more accurate with the more input they are given. Picture each pixel of a possiblity of one output, the more pixels there are the more probability that the answer will be correct, the same way we can see our tv’s more clearly with more pixels.
This discussion of neural networks brings me to think of objective #6 within our course outline. This objective states, “contrast the digital representation of an object or concept with the “natural” object. What is gained? What is lost?”. With the discussion of neural networks in the context of pixels and inputs, there is always a limited number of each that can be represented, and in this essence we lose the humanity aspect. People can always see things differently, in the visual perspective. For example, an art piece, artists may see beauty and uniqueness, while others may see the harshness of a brush stroke, and others just see the visual. I think of this because of the thought that technology seeing exactly what we see is a very abstract concept. They may be able to state facts very clearly, but will it ever see the world for the beauty that humans see things? Is this possible? Or will technology just see things in black and white, this way or the other, dark vs. light. This is where we see the danger in AI. It’s scary to think that these computers can learn things millions times faster than a human being can, and because of this it takes away the human element. Humans can look at something for hours and be entertained because of our emotions, however, emotions can also stop things from being done in our modern day society. So what is the future of AI?