How nature processes GHz data or THz data or pHz data? It looks into all, but saves interesting patterns at all time scales simultaneously!

While developing the technology for the new age computer we encountered a severe problem. We found that at the rate of GHz we have 10^9 bits of data per second. Then, for THz we have 10^12 bits of data per second, and then finally for pHz or LASER induced capture, we find that we are generating 10^15 bits per seconds (flops). How to manage them? We simply can’t existing science or technology can’t. Of course we have peta-flop computers but those are only to show that we have it. When the time comes to look into various data sets at that speed, those who operated with peta-flop machines know very well that simultaneously operating at GHz, THz, pHz is just impossible. We have to transfer data at the same rate, and adjust speeds with other clocking speed data transfer and then find useful relations between them. By the time we understand its intelligence trillions of bits will be waiting for us asking “Hi, mister”

I had rigorous conversations with our chief scientist Martin at IIoIR ( I told him looking at his concerns, look, we will not take any data as points, we will add them to topology, and modify the topology made of a few bits. Then, you wont have to worry about all this huge data sets. Like in the 1800 a movement was in India “go back to Vedas”, because of massive abuse from British-Christianity invasion, the route was to go back to the basics. Even now, the route is to go back to the cavemen to find inspiration from geometry and topology.

It is so nice to say that we will take a topology and start building on this topology. But doing it in reality is extremely difficult. If we do not know the skeleton of the information architecture of the universe we cannot start anywhere. This is why we need a phase prime metric, just like astrophysics used a metric to build the space time correlations of the universe we need to build a similar metric of pattern or topology. Where we can add.

When we are looking into the patterns produced at the femto-seconds time scale we do not need to see how the pattern would look like in the pico seconds time scale. We might need to make detailing of some of the patterns we see for hours (micro-hertz), then we can look into some of its important topology in the seconds scale, it zooms and finds some interesting topology at the microseconds scale, then, finds some more. The journey goes on and on to the femto second time scale. But who decides the interest? This is done by two factors. First one is memory and second one is phase prime metric that contains map of all possible uncertainties.

So, we are going to do just that in the conventional electronics hardware. Do not see all the data, because it is impossible, but inspired by the universal links between topologies we get into building a multi-time-scale topology of our own. Who knows you may be creating that at this moment in your brain now.



  1. Do you have any diagramatic examples of the topologies you are referring to. I am giving a lecture in Beijing in November and would like to show examples of your new work.Thanks.


      1. Thanks. I will study both papers. What has happened to your sound research with the frequencies in the microtubules?: I’d be very interested in following that as well.


  2. Is there a relationship between the nested Bloch spheres and the folding of the proteins in the microtubules? Do the protein foldings and movements take on a topology as well as frequency patterns that you then extrapolation into the bloch spheres? This is very sophisticated physics so pardon my attempt to ask questions.


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