It used to be that memory and storage space were so precious and so limited of a resource that handling nontrivial amounts of text was a serious problem. Text compression was a highly practical ...

Effective compression is about finding patterns to make data smaller without losing information. When an algorithm or model can accurately guess the next piece of data in a sequence, it shows it’s ...

Lossless compression is used for applications where the original data must be fully restored following decompression. Examples of applications requiring lossless compression include network data, ...

As mentioned previously, the characteristics of typical audio signals vary from time to time and therefore we must expect the required bit rate for lossless compression to vary as well. Since the bit ...

Gaming Industry Todd Howard says AI can't replace human 'creative intention,' but it's part of Bethesda's 'toolset for how we build our worlds or check things' AI Rockstar co-founder compares AI to ...

All compression algorithms utilize two basic functions. The first removes redundant or irrelevant information. Redundancy removal can be lossless or lossy. The second function, bit packing, packs the ...

I see awful diminishing returns here. (Lossless) compression of today isn't really that much better than products from the 80s and early 90s - stacker (wasn't it?), pkzip, tar, gz. You get maybe a few ...