[Editor's note: For an intro to fixed-point math, see Fixed-Point DSP and Algorithm Implementation. For a comparison of fixed- and floating-point hardware, see Fixed vs. floating point: a surprisingly ...

The original article is published on Nervana site: Accelerating Neural Networks with Binary Arithmetic. Please go to Nervana Homepage to learn more on Intel Nervana's deep learning technologies. At ...

On February 25, 1991, during the eve of the of an Iraqi invasion of Saudi Arabia, a Scud missile fired from Iraqi positions hit a US Army barracks in Dhahran, Saudi Arabia. A defense was available – ...

The new Half type is composed of 16 bits and will be geared towards speeding up machine learning workflows by enabling faster computation and smaller storage requirements at the expense of precision.

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 ...

Editor's Note: This is the first article in a two-part series on decimal representations and decimal arithmetic in general, and on Binary Coded Decimal (BCD) in particular. In this first installment, ...

Munich, Germany – July 5, 2002 – Infineon Technologies (FSE/NYSE: IFX), a leading provider of system-on-chip semiconductors for automotive, industrial and communication applications, announced ...