AI is all about data, and the representation of the data matters strongly. But after focusing primarily on 8-bit integers and 32‑bit floating-point numbers, the industry is now looking at new formats.

AI/ML training traditionally has been performed using floating point data formats, primarily because that is what was available. But this usually isn’t a viable option for inference on the edge, where ...

Analysis Whether or not OpenAI's new open weights models are any good is still up for debate, but their use of a relatively new data type called MXFP4 is arguably more important, especially if it ...

Many numerical applications typically use floating-point types to compute values. However, in some platforms, a floating-point unit may not be available. Other platforms may have a floating-point unit ...

Promising to speed up a wide variety of computing apps, Prism FP debuts as the first compression technology to provide lossless and near lossless compression of floating point data types. EMBEDDED ...