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 ...

We design a quantum method for classical information compression that exploits the hidden subgroup quantum algorithm. We consider sequence data in a database with a priori unknown symmetries of the ...

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 ...

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.” ...

Large Language Models (LLMs), often recognized as AI systems trained on vast amounts of data to efficiently predict the next part of a word, are now being viewed from a different perspective. A recent ...

Lossless data compression plays a vital role in addressing the growth in data volumes, real-time processing demands, and bandwidth constraints that modern systems face. Dr. Sotiropoulou will deliver ...

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 ...

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 ...

When the PlayStation 5 (PS5) and Xbox Series X were announced, it was very difficult to find the difference between the two by comparing the specifications. However, the PS5 uses overwhelmingly better ...

At a time of heavy automation and job losses, enterprises must also consider how useful individuals with real, practical experience might be ...