Review on Collaboration and Coordination Between NPU, Artificial Neural Network & Deep Learning
Dushyant Dubey, Jyoti Khandelwal · 2022
In today’s world, neural processing units (NPUs) are used in a variety of devices such as smartphones, computers, self-driving vehicles, and a variety of other gadgets in industries such as automotive, IT, and medical. However, in previous couple of years AI (AI) makes a fantastic innovations and transformations in machine learning applications and defeat the humans in various fields like adapting itself of electronic gadgets and act accordingly during away inwhichhuman wants to use them and playing brain teaser games like Riddles, chess, Pattern problems, etc. The NPU, sometimes known as the Neural Processor, is a device used for specialized neural processing in Artificial Intelligence. Typically, this NPU functions successfully only when an efficient software model, such as an Artificial Neural Network (ANNs), is provided with the NPU. Deep learning (DL) is additionally another part of ANN which is used in its special case requirements. Deep learning is mostly used to manipulate complicated algorithms. The relationship and coordination between the NPU, Artificial Neural Network (ANN), and deep learning (DL) are discussed in this study. It also focuses on How Deep Learning works, its collaborations with ANN and NPU, its various applications, and its advantages and disadvantages. Apart from all this, Additionally, an elaborated summaiy is there to explain the advancement within the generations of NPU with their timeline.