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GiMeSpace Mega AI predictor for Windows

By GiMeSpaceFreeUser Rating

Key Details of GiMeSpace Mega AI predictor

  • Perform optimized prediction of future data from past data.
  • Last updated on August 2, 2018
  • Virus scan status:

    Clean (it's extremely likely that this software program is clean)

Developer's Description

Perform optimized prediction of future data from past data.

GiMeSpace Mega AI predictor is a program that is using past historical data to predict future data. Obvious applications can be predicting stock market shares and any other hard to predict data streams. But also for more simple data sets this program provides superiour learning capacity.

It is using highly optimized techniques that automatically adapt to the data that is being used. The techniques are coming from the Artificial Intelligence, Neural Networks and Machine Learning science and is used in such a way that maximum learning capacity is provided for hard to predict data.The program is highly optimized for the latest x64 Windows computers. It supports up to 2048 parallel CPU cores/threads and up to 16TB of virtual memory.The more memory and computing power you have available for this program the more effective this program will predict future data.Since it is recommended to use massive amounts of memory, the speed of the calculations are likely limited by the access speed of you memory. For extreme projects you might want to invest in the latest high bandwidth RAM and processors that are able to access this RAM at maximum speed.Using this program:This program will only run on 64bit windows.Although the logic behind this program is highly complex, this program is actually very straight forward and easy to use.When you start the program you will see the main text screen giving you all the information you need. And 8 buttons on top that perform all the tasks that are needed.On the bottom right is a button that can be used to interrupt calculations if you need to interrupt the program. You will have to start the calculations again at a later time.

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