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 are algorithmic systems created based on the principle of the human nervous system. They consist of many ...

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 ...

Google LLC’s Android team today added support for a new prototype feature that makes it possible for developers to perform “hardware accelerated inference” on mobile devices using the PyTorch ...

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 ...

Journal of Housing and the Built Environment, Vol. 18, No. 2 (2003), pp. 159-181 (23 pages) In recent years, the neural network modelling technique has become a serious alternative to and extension of ...

A new SwiftKey keyboard hopes to serve you better typing suggestions by utilizing a miniaturized neural network. SwiftKey Neural does away with the company's tried-and-tested prediction engine in ...

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 ...

This expectation has roots in a field whose history is marked by periods of euphoria when the success of a new technique is believed to be the key to human-like intelligence, only for this hope to be ...