Huawei Technologies Co., Limited

Exo Imaging, Inc.

Zichen Zhang

Masood Dehghan

Dornoosh Zonoobi

Jun Luo

Yingying Fu

Xuebin Qin

Negar Hassanpour

Khurram Javed

Cameron Goeffrey Watmough Haigh

Systems and methods for computer-assisted design of an inductor are described. Target specifications for an inductor are received. An inductor design is generated segment-by-segment using a reinforcement learning agent to generate segment parameters for each added segment. The reinforcement learning agent implements a policy that is learned using a reward computed based on performance of the generated inductor design relative to the target specifications. The generated inductor design is outputted as a candidate inductor design after determining that the generated inductor design satisfies a predefined performance threshold.

System and method for computer-assisted design of inductor for voltaged-controlled oscillator

A non-transitory computer readable storage medium has instructions executed by a processor to receive an ultrasound image. The ultrasound image is applied to a sequence of encoders where each encoder in the sequence of encoders performs convolution neural network processing of a down-sampled version of the ultrasound image from a prior encoder, the sequence of encoders form a first dimension. The ultrasound image is applied to a transition encoder with an orthogonal dimension to the first dimension. The ultrasound image is applied to a sequence of decoders where each decoder in the sequence of decoders performs convolution neural network processing of an up-sampled version of the ultrasound image from a prior decoder, the sequence of decoders form a second parallel dimension to the first dimension. Encoder and decoder configurations and the first dimension, the orthogonal dimension and the second parallel dimension thereby define a nested U network architecture. Probability segmentation maps are produced from paired encoders and decoders in the sequence of encoders and the sequence of decoders. The probability segmentation maps are combined to form a final probability segmentation output.

Apparatus and method for image segmentation using a deep convolutional neural network with a nested U-structure

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Edmonton, Canada

Zichen Zhang