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 ...

Most AI chips and hardware accelerators that power machine learning (ML) and deep learning (DL) applications include floating-point units (FPUs). Algorithms used in neural networks today are often ...

In .NET 5 Preview 7, Microsoft has now introduced another floating-point datatype alongside the standard Float and Double. Dubbed Half, the new datatype is equivalent to binary16, which is specified ...

Infinite impulse response (IIR) filter implementations can have different forms (direct, standard, ladder, …), different math (fixed-point or floating-point), and different quantization (number of ...

Floating-point arithmetic is a cornerstone of modern computational science, providing an efficient means to approximate real numbers within a finite precision framework. Its ubiquity across scientific ...

A way to represent very large and very small numbers using the same quantity of numeric positions. Floating point also enables calculating a wide range of numbers very quickly. Although floating point ...

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 ...

are VB6’s two floating point types; they’re used to store numerical values that have digits to the right of the decimal point. The number of such digits can vary (hence the name “floating point”) ...

Although something that’s taken for granted these days, the ability to perform floating-point operations in hardware was, for the longest time, something reserved for people with big wallets. This ...