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 ...

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 ...

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, ...

Many of today's embedded systems are providing more sophisticated solutions to a wide variety of applications and industries. With this increase in sophistication, there is a corresponding increase in ...

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 ...

Lossless or lossy: If you have big data, know what type of compression to use Your email has been sent Illustration: Lisa Hornung/iStockPhoto Must-read big data coverage What Powers Your Databases?

There are many claims in the air about the capabilities of AI systems, as the technology continues to ascend the dizzy heights of the hype cycle. Some of them are true, others stretch definitions a ...

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 ...