[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 ...

bytes : byte2 byte1 byte4 byte3</pre> <BR>Now, I know that in the bit representation above, bit 1 is the sign bit, bits 2 through 9 are the exponent, and bits 10 through 32 are the ...

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.

Why floating point is important for developing machine-learning models. What floating-point formats are used with machine learning? Over the last two decades, compute-intensive artificial-intelligence ...

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 ...

I keep reading here and elsewhere about how a 64 bit processor doesn't offer any inherently better performance over a 32 bit one, and that makes sense to me. Except for the case of 64 bit floating ...