Abstract: A disambiguation dialog may be generated by determining candidate responses based on an intent of a user's message. A utility value and a relevance probability may be determined for each of the candidate responses. An intermediate ranking may be computed for each of the candidate responses based on the utility value and the relevance probability. Candidate dialogs may be formed with the top candidate response, the top two candidate responses, and so on. Additional candidate dialogs may be generated by varying a presentation format of the candidate responses. Discoverability probabilities may be associated with each of the candidate responses within a candidate dialog. A joint metric for each candidate dialog may be computed as a function of the utility value, relevance probability and discoverability probability associated with each of the candidate responses included in the candidate dialog. The highest ranked candidate dialog may be selected as the disambiguation dialog.

Abstract: A system is provided for training a device design network. The system includes an interface configured to input data of a device, a memory to store the device design network including an encoder, a decoder, and an adversarial block, and a processor. The processor is, in connection with the memory, configured to update the encoder and the decoder based on a first loss function to reduce the difference between the input data and output data of the decoder, wherein the encoder is constructed by at least one convolutional layer followed by at least one parallel fully connected layer to extract features of a layout of the device, and update the adversarial block to construct by maximizing a second loss function.

Abstract: Methods, systems, and computer-readable media for generating a statistically covaried machine learning model for performance measurement of service providers. The method receives a configuration file that includes one or more parameters associated with a plurality of individuals and parses it to generate and executing the database query on input data to generate sets of tabulated data of individuals of the plurality of individuals. The method next determines one or more measures of service providers listed in the configuration file using two or more tabulated data of individuals from the sets of tabulated data of individuals. The method finally generates a covaried machine learning model by training a machine learning model by statistically covarying measures and using them as training data.

Abstract: A system for automated construction of an artificial neural network architecture is provided. The system includes a set of interfaces and data links configured to receive and send signals, wherein the signals include datasets of training data, validation data and testing data, wherein the signals include a set of random number factors in multi-dimensional signals X, wherein part of the random number factors are associated with task labels Y to identify, and nuisance variations S. The system further includes a set of memory banks to store a set of reconfigurable deep neural network (DNN) blocks, hyperparameters, trainable variables, intermediate neuron signals, and temporary computation values including forward-pass signals and backward-pass gradients.

Abstract: The present disclosure provides a method (500) comprising receiving (510) images (e.g., 125A to 125G) of an object (110), the images (e.g., 125A to 125G) comprising first and second images. The method (500) then determines (530) feature points (810, 820) of the object (110) using the first images and determines (530, 540, 550) a three-dimensional reconstruction of a scene having the object (110). The method (500) then proceeds with aligning (560) the three-dimensional reconstruction with a three-dimensional mesh model of the object (110). The alignment can then be used to map (570) pixel values of pixels of the second images onto the three-dimensional mesh model. The directional radiosity of each mesh element of the three-dimensional mesh model can then be determined (580) and the hemispherical radiosity of the object (110) is determined (590) based on the determined directional radiosity.

Abstract: A low-noise main bearing cap for an internal combustion engine is designed that includes a main bearing cap body, wherein the main bearing cap body is connected to an engine body main bearing seat. The main bearing cap body is provided with a vibration isolator A vibration isolation structure is provided between the main bearing cap body and the vibration isolator The main bearing cap body is connected with the vibration isolator through a connector The vibration isolation structure comprises an S-shaped structure and an oil film gap, and the vibration isolator is provided with an oil inlet passage which is communicated with the oil film gap. The present design solves the control problem of the main bearing vibration source caused by the main bearing load.

Abstract: According to some aspects, a method of designing a three-dimensional object based on a shape of the object, the object to be fabricated via additive fabrication from a plurality of materials, is provided. The method comprises selecting, for a first volume element of the object, one of the plurality of materials based at least in part on a position of the first volume element within the object, at least one spatial decomposition of the object, the at least one spatial decomposition identifying a plurality of volumetric subregions of the object, and a material composition of at least a first volumetric subregion of the plurality of volumetric subregions, wherein the first volumetric subregion comprises the position of the first volume element.

Abstract: A system for flexible regularization and adaptable scaling of an artificial neural network is provided.

Abstract: The present disclosure proposes a federated speaker verification method based on differential privacy, including: 1. performing, by a server, UBM pre-training to obtain an initial UBM; 2. receiving, by the client, the pre-trained initial UBM, and performing initial UBM learning based on local private speech data; 3. performing, by the client, differential privacy protection based on learned statistics; 4. aggregating, by the server, statistics uploaded by multiple clients, and updating the initial UBM; and 5. receiving, by the client, the updated UBM, performing adjustment based on the local private speech data to obtain a GMM for a user of the client, and determining, based on the updated UBM and the GMM, whether a to-be-verified speech is generated by the user of the client.

Abstract: A disambiguation dialog may be generated by determining candidate responses based on an intent of a user's message. A utility value and a relevance probability may be determined for each of the candidate responses. An intermediate ranking may be computed for each of the candidate responses based on the utility value and the relevance probability. Candidate dialogs may be formed with the top candidate response, the top two candidate responses, and so on. Additional candidate dialogs may be generated by varying a presentation format of the candidate responses. Discoverability probabilities may be associated with each of the candidate responses within a candidate dialog. A joint metric for each candidate dialog may be computed as a function of the utility value, relevance probability and discoverability probability associated with each of the candidate responses included in the candidate dialog. The highest ranked candidate dialog may be selected as the disambiguation dialog.

Abstract: A communication system including a receiver to receive training data. An input interface to receive input data coupled to a hardware processor and a memory. The hardware processor is configured to initialize the privacy module using the training data. Generate a trained privacy module, by iteratively optimizing an objective function. Wherein for each iteration the objective function is computed by a combination of a distortion of the useful attributes in the transformed data and of a mutual information between the sensitive attributes and the transformed data. Such that the mutual information is estimated by the auxiliary module that maximizes a conditional likelihood of the sensitive attributes given the transformed data. Receive the input data via the input interface. Apply the trained privacy module on the input data to produce an application specific transformed data. A transmitter to transmit the application specific transformed data over a communication channel.

Abstract: A battery diagnostic system is disclosed for an RUL estimation of a battery. The battery diagnostic system comprises a memory configured to store a neural network trained to estimate a remaining useful life (RUL) of a test battery from a predetermined set of features indicative of a battery cycle of the test battery and a capacity of the test battery; a charging system configured to charge and discharge the test battery to provide measurements of the battery cycle and the capacity of the test battery; a processor configured to extract the predetermined set of features from the measurements to submit the extracted set of features to the neural network and an output interface configured to output the estimated RUL of the test battery.

Abstract: A photonic device for splitting optical beams includes an input port configured to receive an input beam having an input power, a power splitter including perturbation segments arranged in a first region and a second region of a guide material having a first refractive index, each segment having a second refractive index, wherein the first region is configured to split the input beam into a first beam and a second beam, wherein and the second region is configured to separately guide the first and second beams, wherein the first refractive index is greater than the second refractive index, and output ports including first and second output ports connected the power splitter to respectively receive and transmit the first and second beams.

Abstract: The present invention provides, in one aspect, a router including a motor unit and a base configured to selectively receive the motor unit to support the router on a work piece surface. The motor unit includes a motor and a spindle configured to output a torque supplied by the motor. The base includes an input shaft configured to selectively couple to the spindle, an output shaft laterally offset from the input shaft, and a belt. The input shaft includes a first pulley and the output shaft includes a second pulley and a tool holder. The belt wraps around the first and second pulleys to rotationally couple the input shaft to the output shaft. When the motor unit is received into the base, the spindle couples to the input shaft.

Abstract: Embodiments of the disclosure provide methods and systems for positioning a vehicle. The system may include a communication interface configured to receive a set of point cloud data with respect to a scene captured under a first lighting condition by at least one sensor. The system may further include a storage configured to store the set of point cloud data, and a processor. The processor may be configured to identify at least one local light source based on the set of point cloud data, modify the set of point cloud data based on a simulated light from the at least one local light source corresponding to a second lighting condition, and position the vehicle under the second lighting condition based on the modified set of point cloud data.

Abstract: An automated conversation is facilitated between a user and a virtual agent. A system receives an input message from the user and analyzes an intent of the input message. Based on the intent of the input message, the system generates a plurality of bids for responding to the input message, and assigns an intent confidence score to each bid from the plurality of bids based on a confidence level of each bid from the plurality of bids. The system determines a winning bid from the plurality of bids based on the intent confidence score associated with each bid from the plurality of bids, and generates a response based on the winning bid.

Abstract: Embodiments of the disclosure provide methods and systems for positioning a vehicle. The system may include a communication interface configured to receive a set of point cloud data with respect to a scene captured under a first lighting condition by at least one sensor. The system may further include a storage configured to store the set of point cloud data, and a processor. The processor may be configured to simulate illumination of the scene under a second lighting condition different from the first lighting condition based on the set of point cloud data, modify the set of point cloud data based on the simulated illumination of the scene under the second lighting condition, and position the vehicle under the second lighting condition based on the modified set of point cloud data.

Abstract: Embodiments of the disclosure provide a probe structured for electrical and photonics testing of a photonic integrated circuit (PIC) die, the probe including: a membrane having a first surface and an opposing second surface and including conductive traces, the membrane being configured for electrical coupling to a probe interface board (PIB); a set of probe tips positioned on the membrane, the set of probe tips being configured to send electrical test signals to the PIC die or receive electrical test signals from the PIC die; and a photonic test assembly disposed on the membrane and electrically coupled to the conductive traces of the membrane, the photonic test assembly positioned for substantial alignment with a photonic I/O element of the PIC die, wherein the photonic test assembly is configured to transmit a photonic input signal to the photonic I/O element or detect a photonic output signal from the photonic I/O element.

Abstract: An automated service agent may be used to service issues discussed by users of a group communication channel. In the process of servicing the issue, the automated service agent may differentiate the roles of the users and identify a requester of the issue. In one scenario, the automated service agent may contact the requester in a private communication channel to collect more detailed or private information from the requester. The issue may be resolved in the private communication channel with the requester. Information may be posted back to the group communication channel to inform the other users as to the successful resolution of the issue and how the issue was resolved. While communicating with the requester in the private communication channel, messages may be posted to the group communication channel to keep the other users up to date on the progress of resolving the issue in the private communication channel.

Abstract: Circuits and methods for measuring a working current of a circuit module. An exemplary circuit for measuring a working current of a circuit module includes a capacitor. The capacitor supplies a voltage to the circuit module using a voltage on the two terminals of the capacitor. The circuit also includes a voltage measuring module. The voltage measuring module measures a voltage change amount on the two terminals of the capacitor in an unit time. The working current of the circuit module is determined by the circuit according to the voltage change amount on the two terminals of the capacitor in the unit time and a capacitance of the capacitor.