Abstract: A method for using image analysis for time-series forecasting is provided. The method includes: receiving numeric time-series data; converting the numeric time-series data into an image, wherein the image is a time-frequency spectrogram; analyzing the image by applying a vision transformer encoder to the image to learn multi-modal data across time and frequency; forecasting, based on the analyzing of the image, at least one future time-series data point. The method further includes converting of the numeric time-series data into the image by applying a wavelet transform for convoluting wavelets at different scales with the numeric time-series data to calculate a respective signal strength for each of the wavelets and outputting the calculated respective signal strengths as the time-frequency spectrogram.

Abstract: A method for providing a domain-specific language model to facilitate natural language data analytics is disclosed. The method includes aggregating documents from various sources, each of the documents including natural language data; ingesting each of the documents to generate structured data sets that are organized according to a contextual hierarchy; determining prompts that provide domain-specific information for a language model, the domain-specific information including instructions to access the structured data sets; receiving a request via a graphical user interface, the request relating to questions in a natural language format; generating, by using the language model, software codes for the request based on the prompts; and executing each of the software codes to identify results for the request from the structured data sets.

Abstract: Disclosed is a breast massager, including: a housing having a surface, a cold compress component, at least one massage component, and a control module; a cold compress area is provided on the surface of the housing; the cold compress component is provided in the housing and configured to provide cooling to the cold compress area; the at least one massage component is provided in the housing and configured to massage breasts; and the control module is provided in the housing and electrically connected to the cold compress component and the massage component respectively.

Abstract: A method and a system for generating domain-aware captions for time-series images that are capable of adapting to new domains without retraining are provided. The method includes: receiving information that relates to a first time-series image that is associated with a target domain; generating a generic caption for the first time-series image; extracting, from a memory based on the generic caption, a plurality of image-caption pairs; generating, for each respective one of the plurality of image-caption pairs, a corresponding domain-agnostic caption that includes information that describes a shape of the respective image; and adapting the generic caption into a domain-specific caption for the first time-series image that relates to the target domain. The generating of domain-agnostic captions and domain-specific captions may be performed by using models that are respectively trained based on synthetic time series images having captions that correspond to a set of parameters.

Abstract: A method for using a large language model to generate executable code for workflow execution in a manner that integrates user feedback and adjusts the workflow as needed while preserving data privacy is provided. The method includes: receiving first information that relates to a workflow context, second information that relates to at least one application programming interface (API), and third information that relates to a code generation request; using the received information to generate a lecture, and transmitting the lecture to a language model; receiving a user query that relates to performing a task, and transmitting the query to the language model; receiving a workflow that is automatically generated by the language model based on the lecture and the query; and executing the workflow in order to generate an output that is responsive to the query.

Abstract: In some aspects, the techniques described herein relate to a method including: receiving, at a forecasting platform, a time series; partitioning the time series into a plurality of partitions; processing the time series with a convolutional neural network machine learning model; generating, by the convolutional neural network machine learning model, a plurality of tokens, wherein the plurality of tokens are based on the time series; processing the plurality of tokens with a transformer machine learning model; generating, by the transformer machine learning model, a transformer vector, wherein the transformer vector is based on relationships among the plurality of tokens determined by the transformer machine learning model; and assigning, by a multilayer perceptron classifier, a classification to the transformer vector.

Abstract: A method for providing a domain-specific language model to facilitate natural language data analytics is disclosed. The method includes aggregating documents from various sources, each of the documents including natural language data; ingesting each of the documents to generate structured data sets that are organized according to a contextual hierarchy; determining prompts that provide domain-specific information for a language model, the domain-specific information including instructions to access the structured data sets; receiving a request via a graphical user interface, the request relating to questions in a natural language format; generating, by using the language model, software codes for the request based on the prompts; and executing each of the software codes to identify results for the request from the structured data sets.

Abstract: A method and system for detecting, segmenting, and extracting salient regions in documents by using attention tracking sensors is provided. The method includes: receiving an image that corresponds to a document; receiving, from a sensor, a sequence of measurements that correspond to a human reading of the document; determining, based on the sequence of measurements, at least one region of the document as being a salient document region; demarcating the salient document region in an electronically displayable manner; and outputting a file that includes a displayable version of the document with the demarcated document region. The salient document region may include a title, a section header, and/or a table. The sensor may be an eye-tracking sensor that detects a sequence of eye-gaze positions on the document as a function of time.

Abstract: Embodiments of this application relate to a digital certificate verification method and apparatus, a computer device, and a storage medium. The digital certificate verification method is performed by a authentication center, and include receiving a verification request for verifying a target digital certificate; obtaining a target transaction record corresponding to the target digital certificate from a blockchain, the target digital certificate being stored in the blockchain as a transaction resource; obtaining a target account type corresponding to the target transaction record, different account types corresponding to different certificate operation states; and determining a verification result corresponding to the target digital certificate according to the target account type.

Abstract: Methods and systems for using images that represent time-series data to forecast corresponding images depicting future values of the time-series data are provided. The method includes: receiving a set of time-series data; converting the set of time-series data into a partial first image that includes a blank region to which future data to be included in the first set of time-series data corresponds; and performing an inpainting operation with respect to the partial first image by generating pixels for filling in the blank region in order to produce an augmented version of the first image. A machine learning algorithm that is trained by using historical time-series data may be used to perform the inpainting operation.

Abstract: A network computer system that determines metrics related to effort and cost on the part of deliverers who deliverer items for delivery orders. The network computer system can implement operations to facilitate or mitigate features that cause deliverers to expend effort or cost when completing delivery tasks.

Abstract: A network service, program product and method that manages secure web application delivery. A service is disclosed that includes an interface configured to receive a request for a secure web application from a plug-in integrated into a web browser on a client computing device, wherein the request further includes a user credential token. Also included is a token processor that evaluates the user credential token and determines an associated customer domain server provided by a back-end service and a transport service that establishes a secure channel with the customer domain server, and forwards the request to the associated customer domain server and receives back a text-based data package. Once generated, the text-based data package is forwarded to the plug-in in response to the request.

Abstract: A platform for delivering secure web applications to a client browser. A software plug-in is provided configured for integration into a web browser. The plug-in includes: a request hook that intercepts web browser requests associated with a secure web application; a request processing system that redirects an request to access the secure web application to a network service, and then redirects subsequent HTTP requests to interact with the secure web application to the network service; and a package manager that receives a text-based data package from a customer domain server in response to the initial request and renders the secure web application in the web browser, and receives an updated text-based data package from the customer domain server in response to the subsequent HTTP request and renders updates to secure web application in the web browser.

Abstract: Described embodiments provide systems and methods for accessing resources. A computing device may receive a first request to access a resource, the resource being executable on one or more servers and including data to provision the resource to one or more client devices. The computing device may determine that a relationship between a user of a client device and the resource exists that enables provision of the resource to the client device with use of first credentials defined by an administrative entity of the computing device. Responsive to the determination, the computing device may initiate a second request to provide a user interface through which to access the resource. The computing device may provide the user with access to the user interface responsive to authentication of the user with use of second credentials different from the first credentials.

Abstract: A method for using images that represent time-series data to forecast future images depicting future values as pixelated information is provided. The method includes: receiving a first set of time-series data; converting the received first set of time-series data into a first image; and using the first image to forecast a future image depicting future values as pixelated information that corresponds to a future time interval Training sets of time-series data are used to generate historical data that provides input to a machine learning algorithm, which provides, as an output, a composite image that depicts the future values as pixelated information that reflects associated uncertainties in the value predictions.

Abstract: A method and system for detecting, segmenting, and extracting salient regions in documents by using attention tracking sensors is provided. The method includes: receiving an image that corresponds to a document; receiving, from a sensor, a sequence of measurements that correspond to a human reading of the document; determining, based on the sequence of measurements, at least one region of the document as being a salient document region; demarcating the salient document region in an electronically displayable manner; and outputting a file that includes a displayable version of the document with the demarcated document region. The salient document region may include a title, a section header, and/or a table. The sensor may be an eye-tracking sensor that detects a sequence of eye-gaze positions on the document as a function of time.

Abstract: A network computer system that determines metrics related to effort and cost on the part of deliverers who deliverer items for delivery orders. The network computer system can implement operations to facilitate or mitigate features that cause deliverers to expend effort or cost when completing delivery tasks.

Abstract: A network computer system that determines metrics related to effort and cost on the part of deliverers who deliverer items for delivery orders. The network computer system can implement operations to facilitate or mitigate features that cause deliverers to expend effort or cost when completing delivery tasks.

Abstract: Embodiments of this application relate to a digital certificate management method performed at a computer device. The method includes: receiving a digital certificate generation request submitted by a certificate application node; transmitting identification information to consensus authentication centers for certification to obtain certification results obtained by the consensus authentication centers from performing the certification according to the identification information; determining an identification result corresponding to the certificate application node according to the certification results of the consensus authentication centers; generating, when the certification succeeds, a target digital certificate corresponding to the certificate application node submitting the digital certificate generation request; and writing the target digital certificate as a transaction resource into a blockchain associated with the consensus authentication centers.