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The future of DLSS (Deep Learning Super Sampling) is on the brink of something transformative. What started as a way to boost ...

[Fabrice Bellard] released ts_zip which uses Large Language Models (LLM) to attain text compression ratios higher than any other tool can offer. Do neural networks and LLMs sound far too serious ...

Henry Ford’s Model-T engine’s compression ratio was maybe 4.5 to one, so here we invoke another rule of thumb: The peak pressure of combustion is roughly one hundred times the compression ratio. That ...

It merely looks for repeatable patterns of 0s and 1s, and the more patterns, the higher the compression ratio. Text documents compress the most, while binary and already-compressed files (JPEG ...

Several thresholds are quality predetermined depending on the availability of the bandwidth of the storage device and the image resolution to decide the compression ratio of each image frame. Starting ...

As is always the case, there is also a trade-off between compression capabilities and codec complexity. While you can hit those higher compression ratios with VDC-M, the codec is larger in terms of ...

algorithms that produce better compression ratios can be run in parallel on multiple cores, and which require less CPU and memory for decompression. This mitigates the issue and also makes the ...