We have some pretty big Supercomputers in the world. Are you suggesting they are intelligent?
Nope. They don't have the right software.
A computer can only make one decision at a time, while Neurons run in a magnitude of directions simultaneously.
A neuron can only make one decision - fire or not. A lot of them together can make much more complex decisions.
Like a combination of programs operating in unison.
Yes, clusters of neurons and clusters of gates can do very similar things.
I thought you were more Skeptic Oriented, but you speak about AI as if it is possible.
Of course it's possible. We have a ways to go until we get there, though, both in terms of processor power and programming.
Since you claim knowledge of programming (seems unlikely given your stance), tell me how a computer could ever be programmed to imagine or invent a solution not in its programming. Intelligence should be able to do these things.
===================
Artificial neural network
An artificial neural network is an interconnected group of nodes, akin to the vast network of neurons in a brain. Here, each circular node represents an artificial neuron and an arrow represents a connection from the output of one neuron to the input of another.
In computer science and related fields, artificial neural networks are computational models inspired by animals' central nervous systems (in particular the brain) that are capable of machine learning and pattern recognition. They are usually presented as systems of interconnected "neurons" that can compute values from inputs by feeding information through the network.
For example, in a neural network for handwriting recognition, a set of input neurons may be activated by the pixels of an input image representing a letter or digit. The activations of these neurons are then passed on, weighted and transformed by some function determined by the network's designer, to other neurons, etc., until finally an output neuron is activated that determines which character was read.
Like other machine learning methods, neural networks have been used to solve a wide variety of tasks that are hard to solve using ordinary rule-based programming, including computer vision and speech recognition.
=======================
Here at my company we are working on a similar system. Some details:
http://www.engadget.com/2013/10/11/qualcomm-zeroth-brain-like-computer/
There are only 2 types of computer coding. Comparing 2 things, and directing an instruction.
Google "multiplier" or "associative cache." There are a whole lot of things that computers can do beyond "comparing two things" or "directing an instruction."
They are. Neurons fire or they don't. From Wikipedia - "The conduction of nerve impulses is an example of an all-or-none response. In other words, if a neuron responds at all, then it must respond completely."
However, by changing when they fire, and how often, and what influences their firing - you can get some very complex behaviors.
We can alter our thoughts midstream with a distraction. How do you distract a program?
You provide a strong stimulus to one of its network inputs and then reward any change in its output. After a little while, it reacts to the distraction.