Patent ID: 11928602
Assignee: NEURALA, INC.
Field: nan (nan)
Classification: CPC nan | IPC G

Claim 8:
9. An apparatus for real-time operation on continuous sensory input data to learn objects on-the-fly, the apparatus comprising:
at least one processor executing:
a convolutional deep neural network to extract features from the continuous sensory input data; and
an Adaptive Resonance Theory (ART) classifier operating in real-time to classify objects represented by the continuous sensory input data based on the features extracted by the convolutional deep neural network, the ART classifier having a first layer to perform a comparison of the features extracted by the convolutional deep neural network to weights and a second layer comprising category nodes to generate respective activations based on the comparison, the ART classifier having:
(i) a recognition mode with a “Nothing I know” category to classify previously unseen and unlabeled objects if none of the respective activations matches a label previously learned by the ART classifier, and
(ii) a one-shot learning mode in which the ART classifier creates a new category node, based on a new label from a user, representing one of the previously unseen and unlabeled objects in the “Nothing I know” category without changing the convolutional deep neural network, and adds the new category node to the second layer for recognizing subsequent instances of the one of the previously unseen and unlabeled objects.