Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning ...

In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

Go-To Guide: The Federal Circuit ruled, in a case of first impression, that the machine learning patents at issue were ineligible under 35 U.S.C. § 101.

Artificial neural networks are one of the main tools used in machine learning. As the “neural” part of their name suggests, they are brain-inspired systems which are intended to replicate the ...

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

Neural nets are organized in layers, each of which may handle a different step in the neural net's process. Many neural networks are also capable of learning—but when a machine learns, it's ...