The Human Brain - it takes a lot of computing power to match it
What is the big drawback of computing performance? In reality, the binary system is a major part, the reliance on off/on switches in computing, plus as Michio Kaku identified in one of his lectures, the bottleneck of processing in a serial fashion, not parallel fashion, essentially, I paraphrase him.
Michio Kaku - one of our great modern thinkers and scientists
As computer signals can be passed at the speed of light literally, through fibre optic cables, why not then get computers to 'think in colour'?
Essentially, the computer thinks in binary, in 'black and white' 'on and off' situations, is how the basic triggering of it works. So, why not think in colour? Your choice of how many colours you use, whether it is 8 or 256, thousands of more.
A fibre optic brain in colour -
there is no reason computing can't go this way
Although quantum computing may be a reality fast approaching, it takes a lot of money to make It happen. What if we could simplify the means of achieving what a computer does?
The human brain is a computer and heat exchanger in one -
It is not equipped to run at 'full' capacity
The problem humans have with their brains is that they are about geared to operate in their environment with little room for 'upgrade.' The reason is heat. The human brain runs on around 20 watts of power, 1/4 of the food we eat's energy output in calorific value, goes to power the brain.
Therefore, ramping up the amps in the human brain is only possible to some degree. And the same problem arises with the computer, the processor gets hot.
However, if we approach the computer situation from a different angle, then we could use light and colours to solve the heat and performance problem.
Human robotics, long a staple of science fiction could become science fact -
with the use of fibre optics in their construction process
Algorythmic 'thinking' coupled to data is a means of speeding up performance by use of logical problem solving.
Linked with fibre optic and speed of light transmission, then the computer's basic yes/no proxy transmitted in black and white, converted to colour is massively ramped up.
How much?
Look at a picture in colour on a computer in millions of RGB colours and the same one converted to 256 grey shades of the greyscale ramp. See the difference in the file size? That's not even black and white colour, the advantage is that with the right encoding and decoding engine, you massively ramp up the performance, without the heat, power and cooling problems.
You are then nearer to singularity too. Much nearer!
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