A bio-inspired actionable intelligence method and system is disclosed. The actionable
intelligence method comprises recognizing entities in an imagery signal, detecting and …

Embodiments of the present invention provide an artificial neural network system for
improved machine learning, feature pattern extraction and output labeling. The system …

There is disclosed a novel system and method for building artificial neural networks for a
given task. In an embodiment, the method utilizes one or more network models that define …

An adaptive real-time detection and examination network that employs deep learning to
detect and recognize objects in a stream of pixilated two-dimensional digital images. The …

A vector neural network (VNN) of interconnected neurons is provided in transition mappings
of potential targets wherein the threshold (energy) of a single frame does not provide …

A computer-implemented method and system for building a neural network is disclosed. The
neural network predicts at least one target based upon predictor variables defined in a state …

A differential recurrent neural network (RNN) is described that handles dependencies that
go arbitrarily far in time by allowing the network system to store states using recurrent loops …

A multi-kernel neural network computing architecture configured to learn correlations among
feature values 34, 38 as the network monitors and imputes measured input values 30 and …

A neural network system for identifying positions of objects in an input image can include an
object detector neural network, a memory interface subsystem, and an external memory. The …

A computer-implemented method and system for building a neural network is disclosed. The
neural network predicts at least one target based upon predictor variables defined in a state …