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ε represents the mutual interference of parallel data chains.
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The input and output data of each model are formalized with design principles, enabling data chain between the models.
Many companies operate within a customer relationship data chain: That is, one company has the know-how — and the incentive — to help its customers understand their own customers better.
According to the fit of the experimental data, chain diffusivity is 20 50% of the bulk value in 13 nm-diameter pores.
Cloudified AI means there is a feedback loop in the data chain.
Our definition of the data chain came about with all the value brought by data at each of these stages.
As a result, there are fewer digital additions to the data chain, which means fewer verification nodes and, most importantly, far less energy expended overall.
Its six cameras transform real-time views of the road into data (corresponding to "non-trivial data collection" in our data chain).
Employing data officers and digital natives in the boardroom may well help executives understand AI and IoT better, but these technologies need to be properly understood at every stage so that all parts of the data chain run smoothly.
Added to this, without promoting an understanding of the entire data chain from start to finish, data could be compromised, and a company could invest time and energy digitizing operations with very little return.
All new advances in AI must be fully documented and reproducible so that we have a complete and traceable data chain to help understand its failures and build on its successes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com