1988 autophi cloud resolutions are the auto parallel compute assist to cloud to cloud processing Copyright (C) 2024 Christopher G Brown here is a short about coprocessing transistors and instructions of autophi. To escape a projected conclusion on any given artificial intelligence and skip that topic and contemplate a small picture of a larger magnitude would be my new idea in an old way. So let me explain. Nano and mini nano are now figments. So, let’s continue on a scale note. If we were to take software and control the io at every magnitude then there could be change in processing. For example, what I’m trying to get at is the software of today is mostly process guessing at the required scope of any flop or operation that the calculation will need. And then there’s the cloud that measures that need over and over again.
The question I am asking is there could be a simple change in every computer or phone that makes the cloud processing on a microsd. Let me explain, when you have a large group of computers lets compare those computers to small on and off transistors. So then if you have a large group of small transistors like a few CPU’s with autophi processing on top and then let’s say to compare the size as a scale and minimize the computation’s per “computer” or “transistor” and then accelerate that by automation of need and performance or outcome. Then there will be a more exact system of processing instead of guessing an allotment of unspecified operations.
| Product details
ASIN : B0DMWGJQTS
Publication date : November 12, 2024
Language : English
File size : 736 KB
Simultaneous device usage : Unlimited
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 473 pages |
