Examples of using Computational power in English and their translations into Bulgarian
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Ecclesiastic
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Computer
According to an analysis released by OpenAI, the computational power used in large-scale deep learning training has been doubling every 3.5 months.
we decided to use the vast computational power of this machine.”.
Moore's law is that computational power tends to double about every two years
The goal of this project is to experimentally investigate the physics and the computational power of quantum discord in many-atom ensembles for a specific algorithm that performs the normalized trace estimation.
One must be able to override 51% of all the computational power on the network.
Having the majority of either the computational power or coins of a blockchain network, would let the dominant user‘double-spend' tokens.
Recent advances in machine learning driven by the exponential growth of computational power and the wide availability of data have triggered new legal
huge computational power is deployed by thousands of members(or the miners) that do it simultaneously.
If it is truly distributed the required storage space and computational power is substantially greater,
Noting the computational power, he added,"We are now at the stage of trying to make use of that power.".
A 256-bit key would require 2(128) times more computational power to break than a 128-bit one.
The required storage space and computational power is substantially greater,
digital disruption of cameras, a step that's leveraging computational power to tear down the remaining limitations of the technology.
it is based on computational power.
as well as the computational power to calculate what is happening,
Breaking a symmetric 256-bit key by brute force requires 2128 times more computational power than a 128-bit key.
Users that run the network also earn EOS by contributing to the computational power needed to run transactions.
serious computational power is deployed by thousands of miners that do it simultaneously.
require a huge amount of data and computational power.
popular in recent years due to the explosion of big data and computational power.