> Posits have superior accuracy in the range near one, where most computations occur. This makes it very attractive to the current trend in deep learning to minimise the number of bits used. It potentially helps any application to accelerate by enabling the use of fewer bits (since it has more fraction bits for accuracy) reducing network and memory bandwidth and power requirements.
> [...] Note: 32-bit posit is expected to be sufficient to solve almost all classes of applications [citation needed]
> Posits have superior accuracy in the range near one, where most computations occur. This makes it very attractive to the current trend in deep learning to minimise the number of bits used. It potentially helps any application to accelerate by enabling the use of fewer bits (since it has more fraction bits for accuracy) reducing network and memory bandwidth and power requirements.
> [...] Note: 32-bit posit is expected to be sufficient to solve almost all classes of applications [citation needed]