Abstract: This application discloses an information search method and apparatus. The method includes the steps of receiving a voice message from a first terminal, the voice message including a first request, and the first request requesting a search operation; parsing out a search keyword of the first request from the voice message; and performing the search operation by using the search keyword to obtain a search result. The method further includes sending the search result to a second terminal, the first terminal being associated with the second terminal, and the second terminal being configured to present the search result.

Abstract: There are provided systems and methods for intelligent clustering of account communities for account feature adjustment. A user may utilize an online account with the service provider to process transactions electronic. However, initially the account may be unverified or otherwise untrusted, and limits on electronic transaction processing may be imposed on the account. To provide intelligent feature adjustment, the service provider may utilize a machine learning technique to cluster verified accounts into communities based on their data representations. Thereafter, when a transaction by an unverified account violates a limit imposed on the unverified account, the service provider may process the unverified account using a machine learning model trained for account correlations to the community clusters in order to determine a corresponding community cluster of accounts and adjust a feature based on behaviors and traits of the verified accounts in the community cluster.

Abstract: Techniques are disclosed relating to using machine learning techniques to predict storage configurations for historical data. In some embodiments, a computer system stores representations of historical data according to a current set of storage parameters. The representations may include snapshots of historical data in a data repository at different points in time. The computer system may receive queries for historical data specifying points in time from which to retrieve the historical data. In some embodiments, the computer system responds to the queries using the stored representations and determines performance metrics for the responses. In some embodiments, the computer system trains a machine learning model using the performance metrics. Based on output of the trained model, the computer system updates the current set of storage parameters.

Abstract: A method is provided of producing an optical filter. The method comprises depositing a first mirror layer onto a substrate; depositing an insulating layer on the first mirror; exposing at least some of a plurality of portions of a surface of the insulating layer to a dose of energy; developing the insulating layer in order to remove a volume from the at least some of the plurality of portions of the insulating layer, wherein the volume of the insulating layer removed from each portion. is related to the dose of energy exposed to each portion, and wherein a remaining thickness after the removal of the volume from each portion of the insulating layer is related to the dose of energy exposed to each portion. The method further comprising depositing a second mirror layer on the remaining thickness of each of the plurality of portions of the insulating layer.

Abstract: Systems and methods for regulating service behavior include a system provider device where a policy is registered. The policy defines a modified service behavior for a service running one or more remote servers. In some embodiments, the registered policy is transmitted to a first satellite agent located at a first remote server. By way of example, and after transmitting the registered policy to the first satellite agent, data is received from the first satellite agent corresponding to the service having the modified service behavior running on the first remote server. Thereafter, the system provider may verify that the service having the modified service behavior running on the first remote server satisfies a metric. In various embodiments, and in response to the verifying, the registered policy is transmitted to a second satellite agent located at a second remote server.

Abstract: Techniques are disclosed relating to detecting matching datasets using encode values. In various embodiments, a data monitoring system may perform encoding operations on a first dataset to generate a first encode value that corresponds to a particular one of one or more fields included in the first dataset. The data monitoring system may then determine whether the first dataset matches a previously analyzed dataset. For example, in some embodiments, data monitoring system may compare the first encode value to a previous encode value that corresponds to a second field of the previously analyzed dataset. Based on this comparison, the data monitoring system may generate an output value that is indicative of a similarity between the first encode value and the previous encode value. The data monitoring system may then determine whether the first dataset matches the previously analyzed dataset based on this output value.

Abstract: A computer system receives a set of user-defined rules are that useable by a computer service to automate a decision flow. The computer system generates a graph model from the user-defined rules. From the graph model, the computer system determines an input dependency model that is indicative of a set of inputs referred to in the graph model. The input dependency model is useable by an orchestrator to coordinate accesses to the one or more data stores in which the set of inputs is stored. The computer system receives the set of inputs and determines one or more automated decisions by applying the set of inputs to the graph model.

Abstract: Techniques are disclosed relating to determining whether document objects included in an image correspond to known document types. In some embodiments, a computing system maintains information specifying a set of known document types. In some embodiments, the computing system receives an image that includes objects. In some embodiments, the computing system analyzes, using a first neural network, the image to identify a document object and location information specifying a location of the document object within the image. In some embodiments, the computing system determines, using a second neural network, whether the document object within the image corresponds to a document type specified in the set of known document types, where the determining is performed based on the location information of the document object. In some embodiments, disclosed techniques may assist in automatically extracting information from documents, which in turn may advantageously decrease processing time for onboarding new customers.

Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for generating highly scalable temporal graph databases. In one embodiment, a novel architecture is presented that enables the identification of mutation or changes in graphs. For the identification a combination of graph-based modeling and journal entry is used. Events occurring are consumed and changes are ingested, transformed for use by a graph simulation system. The changes are journaled using a vertex centric temporal journaling schema.

Abstract: Techniques are disclosed relating to data versioning in a multi-datacenter topology. In various embodiments, a computer system at a first datacenter may execute a query at a first point in time against a particular dataset that is maintained at the first datacenter. The particular dataset includes a first data record with a corresponding version number, where the version number is associated with a value of the first data record at the first point in time. In response to the first query, the computer system may receive a first results dataset that includes the first data record with its corresponding version number. The computer system may then store information indicative of the results dataset that is usable to retrieve, at a subsequent time from a historical version of the particular dataset at a second datacenter, the first data record with the same value as at the first point in time.

Abstract: Techniques are disclosed relating to data validation using encode values. In various embodiments, a data monitoring system may retrieve a plurality of datasets from a live database at a non-production datacenter. The data monitoring system may perform encoding operations on one or more of the plurality of datasets to generate encode values that correspond to the plurality of datasets. The data monitoring system may then retrieve an updated dataset, for example from an experimental database at the non-production datacenter, and perform validation operations to validate one or more characteristics of the updated dataset. For example, in some embodiments, the data monitoring system may retrieve the encode values corresponding to the plurality of datasets and use the encode values to validate the updated dataset. The data monitoring system may then generate a validation output indicative of a result of the validation operations.

Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for an end-to-end solution to auto-identifying features. In one embodiment, a novel architecture is presented that enables the identification of optimal features and feature processes for use by a machine learning model. The novel architecture introduces a feature orchestrator for managing, routing, and retrieving the data and features associated with analytical job request. The novel architecture also introduces a feature store designed to identify, rank, and store the features and data used in the analysis. To aid in identifying the optimal features and feature processes, a training system may also be included in the solution which can perform some of the training and scoring of the features.

Abstract: Techniques are disclosed relating to coordinating processing data transmissions between computing systems over a network. In various embodiments, a system includes a coordinator that receives information about an expected batch transmission between a data publishing application at a first computing system and a data processing application at a second computing system. Based on the received information, the coordinator determines a time when the data publishing application is expected to publish the batch transmission to the data processing application and causes the second computing system to initiate execution of the data processing application in conjunction with the determined time to receive and process the batch transmission from the data publishing application.

Abstract: Techniques are disclosed relating to coordinating processing data transmissions between computing systems over a network. In various embodiments, a system includes a coordinator that receives information about an expected batch transmission between a data publishing application at a first computing system and a data processing application at a second computing system. Based on the received information, the coordinator determines a time when the data publishing application is expected to publish the batch transmission to the data processing application and causes the second computing system to initiate execution of the data processing application in conjunction with the determined time to receive and process the batch transmission from the data publishing application.

Abstract: To estimate content complexity of a video, energy of prediction residuals is calculated. The prediction residuals are usually smaller when the video is less complex and more predictable. Scales of prediction residuals also depend on encoding configurations, for example, I pictures usually have larger prediction residuals than P and B pictures even when the contents are very similar and thus have similar perceived content complexity. To more closely reflect the content complexity, alignment scaling factors are estimated for different encoding configurations. Based on the energy of prediction residuals and alignment scaling factors, an overall content unpredictability parameter can be estimated to compute a compression distortion factor for the video. The compression distortion factor, combined with slicing and freezing distortion factors, can be used to estimate a video quality metric for the video.

Abstract: Calibrating a Gaussian frequency-shift keying modulation index includes generating a training sequence of bits, shaping a pulse from the training sequence according to an initial modulation index, and converting the shaped signal to a transmission signal. The transmission signal is then either looped through a radio frequency core or processed by frequency deviation estimation hardware to determine a frequency deviation. The frequency deviation is converted to a new modulation index, and potentially a ratio between a target modulation index and a measured modulation index as a scaling factor. The process is then iteratively repeated until a threshold frequency deviation is achieved.

Abstract: A rigid-collision-free transmission line spacer clamp connection structure includes a spacer frame, rotating joint rubber gaskets and spacer connecting clamps, the spacer frame being uniformly provided with a plurality of rotating joint slots that are rotationally connected with spacer connecting clamps, adopting a “spacer frame, rotating joint rubber gasket and spacer connecting clamp body tail” connection form. The spacer connecting clamp has a connecting rod and a clip, the connecting rod being provided with a connecting rod mounting hole at a rear end and the rotating joint slot being provided with a rotating joint rubber gasket and a spacer connecting clamp rotating shaft therein. The spacer connecting clamp rotating shaft penetrates through the connecting rod mounting hole and a rotating joint rubber gasket mounting hole.

Abstract: This application discloses an information search method and apparatus. The method includes the steps of receiving a voice message from a first terminal, the voice message including a first request, and the first request requesting a search operation; parsing out a search keyword of the first request from the voice message; and performing the search operation by using the search keyword to obtain a search result. The method further includes sending the search result to a second terminal, the first terminal being associated with the second terminal, and the second terminal being configured to present the search result.

Abstract: A computer-implemented method of providing matching information to prospective first and second users is performed at a server, the method including: receiving first audio data and first user information; receiving second audio data, and second user information; storing a first timestamp of the first audio data and first user information and a second timestamp of the second audio data and second user information; performing analysis processing on the first audio data to obtain first feature information, and performing analysis processing on the second audio data to obtain second feature information; judging whether the first timestamp and the second timestamp and the first feature information and the second feature information match; and if the first and second times of receipt and the first and second feature information match, sending the first user information to the second user and sending, by the server, the second user information to the first user.