As it currently stands, the vast majority of the AI advancements and applications you hear about refer to a category of algorithms known as machine learning (see "What is machine learning?").

To leverage both machine learning (ML ... traffic flow models into the ML process. More specifically, the method starts with the involvement of traffic flow models from the lower-order version, such ...

There are standardized schematic illustrations of any process industry ... the core components of the diagrams, such as pipes, symbols, lines and text, are detected and extracted using various image ...

The experimental results demonstrated that the use of the AdaBoost algorithm from machine learning for the mobile ultrasonic stratified flow velocity measurement device was feasible and effective.

Abstract: NAND flash memory is becoming smaller and denser to have a larger storage capacity as technologies related to fine processes are developed. As a side effect of high-density integration, the ...

Developed by the Google Brain team, TensorFlow is a powerful library for numerical computation and machine learning. Its ability to process large-scale data and ... arrays with a uniform type. Tensors ...