AI engineers develop an algorithm that will replace floating-point multiplication with integer addition to make AI processing more efficient.

Once the domain of esoteric scientific and business computing, floating point calculations are now practically everywhere. From video games to large language models and kin, it would seem that a pr… ...

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 ...

The new technique is basic—instead of using complex floating-point multiplication (FPM), the method uses integer addition.