Fig. 1 shows the mapping of points from the training sample in the coordinates of the two main features – u1 and u2. The color of the point corresponds to the class (red – 0, aqua – 1). From the ...

Neural networks have emerged as a pivotal technology in enhancing the precision and reliability of depth of anaesthesia (DoA) monitoring. By integrating advanced signal processing techniques with ...

Fabian Kiendl and Christian Schäflein of Maiwald examine how AI engineering can yield patentable inventions and consider the ...

Training a neural network involves feeding it enough raw data to start recognizing and replicating patterns. It can be a long, tedious process to just approximate complex things -- like writing ...

A group of researchers reports the construction of the first reservoir computing device built with a microelectromechanical system. The neural network exploits the nonlinear dynamics of a microscale ...

While power tools and libraries, such as Apache Spark and Intel’s Trusted Analytics Platform, make it possible to quickly design, implement, train, and test neural network applications, it is the ...

In the battle for AI supremacy, the best defense is a good offense. That’s the philosophy behind Grover, a neural network application that is fighting disinformation by creating its own fake news. “We ...