Although it’s tempting to think that computers can do anything, they are not without their limitations. For example, computers’ limited memory makes them unable to compute real numbers. So, when a ...

While the media buzzes about the Turing Test-busting results of ChatGPT, engineers are focused on the hardware challenges of running large language models and other deep learning networks. High on the ...

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 ...