Neural Processing Unit

Table of Contents☰

About Neural Processing Unit (NPU):

It is a dedicated processor designed specifically for accelerating neural network processes.
A neural network is essentially a type of machine learning algorithm that mimics the human brain for processing data.
It is highly capable for handling machine learning operations that form the basis for AI-related tasks, such as speech recognition, natural language processing, photo or video editing processes like object detection, and more.
In most consumer-facing gadgets such as smartphones, laptops and tablets, the NPU is integrated within the main processor, adopting a System-on-Chip (SoC) configuration.

How is NPU different from the Central Processing Unit (CPU)?

CPUs employ a sequential computing method, issuing one instruction at a time, with subsequent instructions awaiting the completion of their predecessors.
In contrast, NPU harnesses parallel computing to simultaneously execute numerous calculations. This parallel computing approach results in swifter and more efficient processing.
NPU is also able to learn based on accumulated data in order to deduce optimal solutions.

Q1: What is Deep learning?

Deep learning is a subset of machine learning, has revolutionized the way machines process and interpret data. It teaches computers to do what comes naturally to humans; for example, in the case of Self-Driving cars, recognizing the signals to stop or go.

Source: NPU: What is it and why is it gaining importance in semiconductor industry