Abstract: This application provides a surgical robot control method, a computer device, and a surgical robot system. The surgical robot control method includes: receiving a user demand, and generating an interactive control command; generating a motion control command according to the interactive control command; and controlling a terminal of a mechanical arm to perform the motion control command. The motion control command includes controlling the terminal of the mechanical arm to act in accordance with a plurality of motion modes. The surgical robot control method may control the terminal of the mechanical arm to act in accordance with the plurality of motion modes through the motion control command, realize different motion schemes in various clinical application scenarios, and realize controlling the terminal of the mechanical arm to be flexibly switched between the plurality of motion modes in any application scenario through the interactive control command.

Abstract: A trust token may be created including authentication data for a user and his or her associated communication device. The trust token may be transmitted by the communication device to one or more recipients, such as a token server. The recipients may interpret the trust token and verify it against data written to one or more nodes of a blockchain when the user and the communication device registered for the trust token. Once the trust token is verified, the token server may be configured to generate, maintain, and provision account tokens representing sensitive data. The token server may push one or multiple account tokens to the communication device, thereby allowing the communication device to perform transactions with the account tokens. In other words, the implementation of a trust token may allow the communication device to be provisioned with multiple account tokens, without requiring multiple logins or transmissions of sensitive data.

Abstract: Provided is a computer-implemented method for conducting a secure payment transaction for a purchase at a merchant using a client device and a remote point-of-sale (POS) system associated with the merchant. The method includes receiving, with a client device, at least one identifier for at least one product to be purchased, the at least one product associated with a transaction value, and detecting a checkout action with the client device. In response to detecting the checkout action, the method includes generating at least one transaction message based on the transaction value of the at least one item to be purchased and at least one account identifier, generating a cryptogram based at least partially on the at least one transaction message and the at least one issuer key, and transmitting the cryptogram to the remote POS system associated with the merchant. A system and computer program product are also disclosed.

Abstract: One embodiment of the invention is directed to a computer-implemented method comprising, receiving a first request that includes a token associated with a first computing device to utilize a shared resource implemented by a federated network of computing devices. The method further comprises identifying that the first computing device is an unknown entity based in part on the token and one or more signature used to sign the token. The method further comprises transmitting, to a trust management system, a second request to authenticate the first computing device using the token. The method further comprises, receiving an authentication message that verifies the first computing device within an open trust network. The authentication message may be generated in response to the trust management system communicating with a plurality of registrar computers in the open trust network about the signatures associated with the token.

Abstract: Techniques disclosed herein enable training and/or utilizing speaker dependent (SD) speech models which are personalizable to any user of a client device. Various implementations include personalizing a SD speech model for a target user by processing, using the SD speech model, a speaker embedding corresponding to the target user along with an instance of audio data. The SD speech model can be personalized for an additional target user by processing, using the SD speech model, an additional speaker embedding, corresponding to the additional target user, along with another instance of audio data. Additional or alternative implementations include training the SD speech model based on a speaker independent speech model using teacher student learning.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech synthesis. The methods, systems, and apparatus include actions of obtaining an audio representation of speech of a target speaker, obtaining input text for which speech is to be synthesized in a voice of the target speaker, generating a speaker vector by providing the audio representation to a speaker encoder engine that is trained to distinguish speakers from one another, generating an audio representation of the input text spoken in the voice of the target speaker by providing the input text and the speaker vector to a spectrogram generation engine that is trained using voices of reference speakers to generate audio representations, and providing the audio representation of the input text spoken in the voice of the target speaker for output.

Abstract: A method for evaluating a verification model includes receiving a first and a second set of verification results where each verification result indicates whether a primary model or an alternative model verifies an identity of a user as a registered user. The method further includes identifying each verification result in the first and second sets that includes a performance metric. The method also includes determining a first score of the primary model based on a number of the verification results identified in the first set that includes the performance metric and determining a second score of the alternative model based on a number of the verification results identified in the second set that includes the performance metric. The method further includes determining whether a verification capability of the alternative model is better than a verification capability of the primary model based on the first score and the second score.

Abstract: The present application provides a method and apparatus of creating a face model, and an electronic device. The method includes: obtaining at least one key point feature of an current face image by performing key point detection on the current face image; obtaining a target bone parameter set matching the current face image according to the at least one key point feature; and creating a virtual three-dimensional face model corresponding to the current face image according to the target bone parameter set and a standard three-dimensional face model.

Abstract: There is provided an information processing device including: a global map acquiring unit that acquires at least a part of a global map representing positions of objects in a real space where a plurality of users arc in activity; a local map generating unit that generates a local map representing positions of nearby objects detectable by a device of one user among the plurality of users; and an updating unit that updates the global map based on position data of objects included in the local map.

Abstract: An integrated communications network may be integrated with existing payment systems to provide for more efficient and secure payment related communications. The integrated communications network may use mobile network protocol encapsulation to provide more efficient, faster, and more robust payment related communications to a payment processor across a mobile network. The integrated communications network may implement a location-aware network communications system that may allow a payment processor to obtain additional information about a consumer using a location-aware header of a network communication.

Abstract: Described herein are systems and methods for virtualizing policy enforcement amongst participants of an overlay network. In some embodiments, each of the participants may maintain a separate blockchain network. The overlay network may receive smart contracts or other policy documents that include information on interactions with a particular participant or between participants. A controller, which may be implemented on any node of the overlay network, may then extract an interaction algorithm from that smart contract that may be stored in policy data to be used in completing transactions between two participants of the overlay network. In some embodiments, the policy data may include cost data which may be used to determine how two entities may interact.

Abstract: A computing device may be configured to receive a set of inputs from other computing devices. The set of inputs may include inputs derived by the computing devices utilizing cryptographic keys of the computing devices. The set of inputs may be stored in a blockchain such that the inputs are tamper resistant. A symmetric key may be generated (periodically, upon expiration of a timer, according to a protocol set, upon request, etc.) from two or more of the set of inputs. The generated symmetric key may be distributed to the computing devices. The symmetric key may be utilized to encrypt and decrypt communications between two computing devices.

Abstract: Methods, systems, apparatus, and computer program products related to a digital business management system for business transactions are provided. In an example embodiment, the digital business management system includes receiving a transaction data object generated as a part of a transaction event executed via an external commerce channel to be posted to a ledger, wherein the transaction data object comprises one or more metadata tags classifying the transaction event. The system further comprises generating an immutable ledger entry, parsing the transaction data object to identify the one or more metadata tags for storage in association with the transaction event, identifying a match between the one or more metadata tags received from the external commerce channel and one or more master metadata tags stored in the ledger and associated with a data object profile, and updating the data object profile by associating the immutable ledger entry with the data object profile.

Abstract: The embodiments of the present disclosure provide a method, an Internet of Things system and a storage medium for gas leakage inspection, the method is realized based on a smart gas management platform of the Internet of Things system for gas leakage inspection, including: obtaining monitoring data at different locations by controlling a drive module to drive a gas leakage inspection device to move based on monitoring data and distance data, and determining a first inspection scheme based on the monitoring data at different locations.

Abstract: A speaker verification method includes receiving audio data corresponding to an utterance, processing the audio data to generate a reference attentive d-vector representing voice characteristics of the utterance, the evaluation ad-vector includes ne style classes each including a respective value vector concatenated with a corresponding routing vector. The method also includes generating using a self-attention mechanism, at least one multi-condition attention score that indicates a likelihood that the evaluation ad-vector matches a respective reference ad-vector associated with a respective user. The method also includes identifying the speaker of the utterance as the respective user associated with the respective reference ad-vector based on the multi-condition attention score.

Abstract: A solar cell structure includes a semiconductor substrate having a front side and a back side. A pyramid structure is disposed on the front side of the semiconductor substrate. The pyramid structure has an aspect ratio between 0.5-1.2. A front passivation layer is disposed on the pyramid structure. A first anti-reflection layer is disposed on the pyramid structure. The first anti-reflection layer is a multi-layered, graded anti-reflection layer having at least three coating layers. The at least three coating layers comprise a silicon oxynitride layer having a thickness of 15-30 nm and a refractive index between 1.65 and 1.75. The silicon oxynitride layer is an outermost layer of the multi-layered, graded anti-reflection layer.

Abstract: A data processing method includes in response to determining that data corresponding to received data to be written exists, determining a first data identifier of the data corresponding to the data to be written, where the first data identifier is used to obtain a first storage area corresponding to the data, generating a second data identifier of the data to be written, writing the data to be written into the second storage area, in response to receiving a data rollback instruction, obtaining a target data identifier corresponding to the data rollback instruction, and determining a target storage area based on the target data identifier to obtain rollback data from the target storage area. The second data identifier is different from the first data identifier, and the second data identifier corresponds to a second storage area different from the first storage area.

Abstract: The present disclosure belongs to the field of energy materials, and relates to a preparation method of a solid electrolyte, in particular to a method for forming a membrane by using an electrolyte to activate a porous powder material prepared by in-situ polymerization of a polymer on the surfaces of cellulose nanocrystals, and then hot-pressing. According to the technical solution of the present disclosure, cellulose nanocrystals are used as templates, the powder material with a porous structure is prepared by in-situ polymerization growth of the polymer on the surfaces of the cellulose nanocrystals, a small amount of electrolyte is used to activate the powder, and the solid electrolyte is prepared by hot-pressing membrane formation. The solid electrolyte prepared by the present disclosure has excellent electrochemical performance and mechanical performance, and a broad application prospect.

Abstract: A method includes receiving an overlapped audio signal that includes audio spoken by a speaker that overlaps a segment of synthesized playback audio. The method also includes encoding a sequence of characters that correspond to the synthesized playback audio into a text embedding representation. For each character in the sequence of characters, the method also includes generating a respective cancelation probability using the text embedding representation. The cancelation probability indicates a likelihood that the corresponding character is associated with the segment of the synthesized playback audio overlapped by the audio spoken by the speaker in the overlapped audio signal.

Abstract: A method for training a generalized automatic speech recognition model for joint acoustic echo cancellation, speech enhancement, and voice separation includes receiving a plurality of training utterances paired with corresponding training contextual signals. The training contextual signals include a training contextual noise signal including noise prior to the corresponding training utterance, a training reference audio signal, and a training speaker vector including voice characteristics of a target speaker that spoke the corresponding training utterance. The operations also include training, using a contextual signal dropout strategy, a contextual frontend processing model on the training utterances to learn how to predict enhanced speech features. Here, the contextual signal dropout strategy uses a predetermined probability to drop out each of the training contextual signals during training of the contextual frontend processing model.