The idea of simplifying model weights isn't a completely new one in AI research. For years, researchers have been experimenting with quantization techniques that squeeze their neural network weights ...

While it might not happen anytime soon, traditional supercomputing could be in for a sea change with wider acceptance of lower-precision calculations. Such a change translates into reduced accuracy ...

On Wednesday, a team of researchers from China used a paper published in Nature to describe a 32-bit RISC-V processor built using molybdenum disulfide instead of silicon as the semiconductor. For ...