Various aspects provide methods for learning, such as con tinual learning, that support task-
incremental learning using a multi-head classification architecture. Various aspects may …

BACKGROUND INFORMATION [0002] The properties of neural networks are determined
primarily by their architecture. The architecture of a neural network is defined, for example …

Disclosed herein includes a system, a method, and a device for localizing and classifying
content in a data set. A device can provide a sequence of portions of a data set to a neural …

US11587302B2 - Shared dense network with robot task-specific heads - Google Patents
US11587302B2 - Shared dense network with robot task-specific heads - Google Patents …

US20230305729A1 - Integrated circuit, semiconductor device and control method for
semiconductor device - Google Patents US20230305729A1 - Integrated circuit, semiconductor …

A method includes receiving image data representing an environment of a robotic device
from a camera on the robotic device. The method further includes applying a trained dense …

Abstract Systems, methods, and computer-readable media are disclosed for modeled
advertisement conversion attributions. An example method may include receiving first input …

A method comprising: obtaining a configuration of at least one neural network comprising a
plurality of intra-prediction mode agnostic layers and one or more intra-prediction mode …

(74) Attorney, Agent, or Firm—Konrad, Raynes, Davda and Victor LLP; Janaki K. Davada
(57) ABSTRACT Provided are techniques for optimized deployment of ana lytic models in an …

A computer program, a system and a method for normalizing medical images from a type of
image acquisition device using a machine learning unit are disclosed. An embodiment of the …