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The field of data storage and computation is a case in point.
The DNA Data Storage Alliance recently announced specifications on recommended approaches to store data in DNA.
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CEO and co-founder, CATALOG.
AI generates volumes of data, and machine learning models are expensive to train and maintain.
Last summer, it was reported that it costs more than $700 million daily to keepOpenAIsChatGPTup and running.
These exorbitant costs point to a limitation of the current computation paradigm.
Scientists have mimicked that and used synthetic DNA to store and compute digital data in laboratory parameters.
Imagine mixing a container of blue liquid with a container of red liquid.
Early software areas include search, signal processing, and machine learning.
One practical example is satellite imagery of the entire surface of the Earth.
Well soon have decades worth of images taken every second of every day.
Other expected areas of early app are artificial intelligence, machine learning, dataanalytics, and secure computing.
They leverage low energy, low physical footprint, and secure computing.
We’ve listed the best business cloud storage.
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