Choosing the right CPU (central processing unit) for your deep learning project can make all the difference in terms of efficiency, speed, and accuracy. In this article, we’ll explore the best CPUs ...

Abstract: This paper contains the study of modulation identification for both analog and digital signals using convolution neural network. Modulation classification involves identifying the modulation ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...

Accurate diagnosis is the key to providing prompt and explicit treatment and disease management. The recognized biological method for the molecular diagnosis of infectious pathogens is polymerase ...

The field of machine learning (ML) has been developing and expanding since the 1960s, and now we encounter its implementations daily in more than 50 industries. After the AI breakthrough, the demand ...

Deep Learning and Reinforcement Learning are two of the most popular subsets of Artificial intelligence. The AI market was about $120 billion in 2022 and is increasing at a mind-boggling CAGR above 38 ...

Abstract: In this paper we assess the performance of the new MATLAB Deep Learning Processor. It is a hardware architecture meant for FPGA devices which is able to infer Convolutional Neural Networks.