With the advancement of intelligent vision algorithms and devices, image reprocessing and secondary propagation are becoming increasingly prevalent. A large number of similar images are being produced ...

Deoxyribonucleic acid (DNA) data storage is expected to become a key medium for large-scale data. Biomedical data images typically require substantial storage space over extended periods, making them ...

Efficient data compression and transmission are crucial in space missions due to restricted resources, such as bandwidth and storage capacity. This requires efficient data-compression methods that ...

Founded in 2012, UK-based CompressionX has emerged from a decade of algorithmic development to launch a downloadable data compression service aimed at reshaping how businesses and individuals manage ...

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...

This paper discusses the hardware implementation of an encoder and a decoder for the QOI lossless RGB image format. Some results are given for the AMD/Xilinx architecture, reaching over 800 Mpixels/s ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...