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2. Lossy compression - Wikipedia

   en.wikipedia.org/wiki/Lossy_compression

   Lossy compression. In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content. These techniques are used to reduce data size for storing, handling, and transmitting content.

3. Image compression - Wikipedia

   en.wikipedia.org/wiki/Image_compression

   Image compression. Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other ...

4. Kilobyte - Wikipedia

   en.wikipedia.org/wiki/Kilobyte

   Kilobyte. The kilobyte is a multiple of the unit byte for digital information . The International System of Units (SI) defines the prefix kilo as a multiplication factor of 1000 (10 3 ); therefore, one kilobyte is 1000 bytes. [ 1] The internationally recommended unit symbol for the kilobyte is kB. [ 1]

5. File size - Wikipedia

   en.wikipedia.org/wiki/File_size

   File size is a measure of how much data a computer file contains or, alternately, how much storage it consumes. Typically, file size is expressed in units of measurement based on the byte . By convention, file size units use either a metric prefix (as in megabyte and gigabyte ) or a binary prefix (as in mebibyte and gibibyte ).

6. Lilly says weight loss drug cuts heart failure risk by 38% in ...

   www.aol.com/news/lilly-says-weight-loss-drug...

   Shares of the drugmaker rose more than 3% in early trade. The drug, also known as tirzepatide, reduced the risk of a composite of heart failure urgent visit or hospitalization, oral diuretic ...

7. Lossless compression - Wikipedia

   en.wikipedia.org/wiki/Lossless_compression

   Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Lossless compression is possible because most real-world data exhibits statistical redundancy. [ 1] By contrast, lossy compression permits reconstruction only of an approximation ...