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In contrast to RFID tags, which store only a few hundred or few thousand bits of information, and which are readable from distances of tens of feet, the H.P. Memory Spots can be read only from extremely close range and store up to hundreds of thousands of bytes of information.
This may seem wasteful, since hundreds of thousands of bytes may be transferred in the same time that it takes to seek to a new position on disk, but in practice little time is lost and as a benefit the index is less than 1% of the size of the data.
Both video and audio file resolution is measured in kilobytes per second (kbps) — that is, how many thousands of bytes it takes to store one second of sound or videos.
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For example, in 2010 Facebook claimed that they had the largest Hadoop cluster in the world with 21 PB of storage (a Petabyte is 10 to the 15th power bytes of digital information).
The first DRAM stored 128 bytes (1 byte = 8 bits) and cost about $10, or $80,000 per megabyte (millions of bytes).
That video streams use a lot of bytes isn't a surprise.
At that resolution, or bit depth, a full-screen image requires several megabytes (millions of bytes; 8 bits = 1 byte) of memory.
That capacity could be increased to trillions of bytes (or terabytes) over time.
Here we are, quadrillions of bytes deep into the Information Age.
Hard disks for personal computers can store up to several gigabytes (billions of bytes) of information.
In terms of bytes, written words are insignificant, amounting to less than 0.1% of the total.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com