Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 paper, TurboQuant is an advanced compression algorithm that’s going viral over ...

Compression reduces bandwidth and storage requirements by removing redundancy and irrelevancy. Redundancy occurs when data is sent when it’s not needed. Irrelevancy frequently occurs in audio and ...

ADCs and DACs are generating a flood of sampled data that are creating high-speed bottlenecks on busses and in networks. Part 1 of this article described the use of compression algorithms that take ...

A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...

Google has introduced a new data compression algorithm, which the company believes will make the Internet faster for all users. Known as Zopfli, the open-source algorithm is said to increase data ...

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI chatbots. The cache grows as conversations lengthen, ...

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 ...

Music streaming and image / video transfer are technologies that are indispensable in modern society, but in order to use these technologies, it is indispensable to 'compress a huge file size to a ...