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 ...

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 ...

Images transmitted over the world wide web are an excellent example of why data compression is important. Suppose we need to download a digitized color photograph over a computer's 33.6 kbps modem. If ...

Robo.ai Inc. (Nasdaq: AIIO), announced today that its wholly-owned AI data processing and compression technology subsidiary, ...

Robo.ai (AIIO) skyrocketed in early trading after the company's Neurovia AI unit launched NeuroStream, which it described as ...

Robo.ai launched a new (AIIO) visual data infrastructure platform through its Neurovia AI subsidiary, targeting growing ...

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 ...

Alireza Doostan is leading a major effort for real-time data compression for supercomputer research. A professor in the Ann and H.J. Smead Department of Aerospace Engineering Sciences at the ...

In data communications it is desirable to have faster transfer rates at lower costs. Data compression addresses these demands by reducing the amount of data that must be transferred over a medium of ...