24 results about "Client machine" patented technology

The present disclosure describes systems and methods for aggregation and management of cloud storage among a plurality of providers. According to one aspect, a computer-implemented method includes providing an aggregated folder at a client computer, the aggregated folder aggregating the contents of a plurality of folders, each of the plurality of folders used for synchronization with a respective one of a plurality of cloud storage providers; identifying a new file for synchronization; determining a first cloud storage provider from the plurality of cloud storage providers to which to store at least a portion of the new file; storing the at least a portion of the new file in a first folder from the plurality of folders, the first folder for synchronization with the first cloud storage provider from the plurality of cloud storage providers; and adding the new file to the aggregated folder.

A method may include causing a client computer to display a graphical user interface including a content panel configured to display a selected document in a publication-controlled editing mode and in a synchronous editing mode and a navigational panel including a hierarchical element tree. The method may further include, in response to a selection, from a first user, of a selectable element in the hierarchical element tree, causing the document to be displayed in the content panel in the synchronous editing mode. The method may further include, in response to receiving from the first user a request to edit the document in the publication-controlled editing mode, causing the document to be displayed in the content panel in the publication-controlled editing mode.

In an aspect of the disclosure, a method, a computer-readable medium, and a system are provided. The system may include one or more computing devices. The one or more computing devices serve a controller page and a service page to a client machine. The one or more computing devices receive, through the controller page, a service file package containing software components and a template file for a new service. The one or more computing devices deploy the software components for the new service to one or more servers based on the template file. The one or more computing devices update a database with information about the deployed new service. The one or more computing devices modify the service page to include the deployed new service.

The embodiments of this disclosure generally relate to the field of data analysis technology, specifically to a task processing method based on the R Shiny application, a Shiny server and client for processing tasks, a computer program, and an electronic device. The server method includes, in response to receiving a submitted task from the Shiny client, creating a task entry corresponding to the task in a task database, and configuring the task status of the created task entry to a first state. The method further includes polling the task database to initiate one or more tasks corresponding to one or more task entries in the task database whose task status is in the first state, and configuring the task status of the initiated task's corresponding task entry to a second state. The method also includes, in response to task completion, configuring the task status of the task entry corresponding to the completed task in the task database to a third state. This method can prevent the loss of calculation results when the current browser page is closed or refreshed.

A data owner can provide shares of a cryptographic key to N key servers. The N key servers can store the shares of a cryptographic key from the data owner such that T shares of the cryptographic key can be used to reconstruct the cryptographic key. A client computer can send a blinded query to T key servers of the N key severs, wherein the T key servers can encrypt a blinded query of a client computer using the share of the cryptographic key to determine a partial encryption. The client computer can receive T partial encryptions, assemble T partial encryptions to form an encrypted blinded query, and deblind the encrypted blinded query. The client computer can then use the encrypted query to perform a search on encrypted data of a remote database server using a searchable symmetric encryption scheme.

Technologies for implementing geographic location based news feeds. A server computer indexes web content transmitted from a first client computer. And, the server computer, in response to receiving a search query from a second client computer, generates geographically filtered search results based on the search query from the second client computer and a geographic location tag of the search query. The geographically filtered search results can include parts of the web content transmitted from a first client computer corresponding to the search query and the geographic location tag of the search query. The server computer also transmits the geographically filtered search results to the second client computer to be displayed by the second client computer.

Enumerated source text passages may be determined based on one or more source text documents. The enumerated source text passages may include source text passage identifiers uniquely identifying the passages. A novel text passage including novel text portions may be determined based on a query and the enumerated source text passages. One or more of the novel text portions may be verified by a large language model to produce text verification information. A novel text generation message including novel text generated by the large language model may be determined based on the text verification information and sent to a client machine.

A video conference system and method that provides fluent representations of speech of disfluent participants, such as stutterers, to other participants in a video conference session. In embodiments of the system, a fluent digital twin video conference server application (FDT video conference server) on a server computer system establishes the sessions, receives original audio from a disfluent participant via an FDT-compatible video conference client on a client computer system, converts the original audio into one or more fluent representations of speech, and transmits the fluent representations of speech to other session participants. In other embodiments, a fluent digital twin video conference client application (FDT video conference client) receives and converts original audio of a disfluent participant into one or more fluent representations of speech and transmits the fluent speech to a standard video conference server, which then forwards the fluent speech to other session participants.

A trained machine learning model is disclosed for determining a score indicative of a probability that a type of certain user input will be provided to a game controller of a player while playing a video game, in order to compensate for a latency between a player action and a perception of the player to video game content related to the player action. In an example process, sensor data received from a client machine and / or game state data received from a video game are provided as input to the trained machine learning model, and a score is provided as output thereof, the score relating to a probability that a type of user input will be provided to a game controller of a player. In this way, game control data corresponding to the type of user input can be generated based on the score, and provided as input to the video game prior to even receiving actual game control data.

Identifying potentially unfair practices in content and serving relevant advertisements is described. A total risk score associated with an online advertisement is determined by a computer system based on a first risk score and an issue risk score. The first risk score is based on online content associated with the online advertisement and the issue risk score is based on one or more risk attributes associated with the online advertisement. The total risk score is transmitted to a client computer, where the total risk score is displayed through a user interface in conjunction with the display of the online advertisement on the client computer.

One issue is that when installing the driver for using a shared printer on the server, a confirmation screen for installation may appear, which is inconvenient. [Solution] A program for installing drivers on a server 1000 that can be used to control peripheral devices 2000 shared with a client computer 3000 connected to a network, characterized in that if there is a driver on the server computer for which a certificate is installed on the server and the driver has the highest priority, the program will install the driver, and if there is no driver on the server for which a certificate is installed, the program will install a driver with a higher priority.

A data transaction processing system including multiple transaction processors also includes an active transaction receiver that sequences all incoming messages from various sources to facilitate transactional determinism, as well as a results arbiter to efficiently decide which transaction processor result to choose as the correct output. The data transaction processing system minimizes overall latency by optimizing which transaction processors and results arbiters are responsive to specific client computer input requests or messages.

A text generation prompt may be determined based on an input message from a client machine and a designated text generation prompt template. A text generation prompt message including the designated text generation prompt may be sent to a remote text generation modeling system via the communication interface. A text generation prompt response message may be received from the remote text generation modeling system. The text generation prompt response message may include novel text generated by a text generation model implemented at the remote text generation modeling system. The text generation prompt response message may be parsed to generate a response text based on the novel text.

With video quality estimation provided as an operating system service or cloud service, estimates of video quality can be collected unobtrusively and without feedback from video playback applications or viewers. For example, for a portion of reconstructed video content, an operating system service of a client computer system receives video data, estimates video quality of the portion of reconstructed video content using the video data, and sends results of the video quality estimation to an application executing on the client computer system. Or, as another example, for a portion of reconstructed video content, a cloud service of a server computer system receives video data, estimates video quality of the portion of reconstructed video content using the video data, generates encoder control values based at least in part on analysis of results of the video quality estimation, and sends the encoder control values to a streaming or conferencing service.

A scanner redirection method for a remote desktop computer system, wherein the remote desktop computer system includes a client computer and a remote computer, includes the steps of: transmitting at least one request to the client computer to acquire one or more first images from an image capturing device connected to the client computer; upon receiving a compressed video file that was created by the client computer in response to the at least one request and that was then transmitted by the client computer, applying a video decoding algorithm to expand the compressed video file into a decompressed video file having one or more second images; and providing each of the one or more second images to an application running in the remote computer.

Methods and systems for performing efficient privacy-preserving machine learning (or other computationally intensive private computing operations) based on homomorphic encryption are disclosed. Two computer systems can collectively perform these methods on behalf of a client computer using threshold leveled homomorphic encryption (LHE) or fully homomorphic encryption (FHE), e.g., using the Cheon-Kim-Kim-Song cryptosystem. For example, two computer systems could privately evaluate a client's encrypted inputs using a machine learning model and return an encrypted output to the client, preserving the privacy of the client's data. Methods according to embodiments include efficient bootstrapping methods, ciphertext packing methods, encryption parameter optimization methods, and methods for privately fine-tuning machine learning models using low rank adaptation (LoRA). Embodiments improve the speed and efficiency of private HE-based computation, which are often several orders of magnitude slower than non-private computation.

A method for protecting against malware when a client computer causes file operations at a server computer, comprising: gathering, by the server computer, information for each file operation performed into an event, the information including at least a identifier and a type of the operation, developing, not by the client computer, an event-level feature vector including at least two features which are numerical data representing an aspect of the gathered information for each event; grouping the event-level feature vectors into a file-level feature vector for each file; supplying, not by the client computer, the file-level feature vectors to a trained machine learning classifier and receiving as an output of the classifier at least one risk score indicating a likelihood of a presence of malware activity; and when malware activity is indicated by an aggregate risk score based on the at least one risk score, initiating incident handling.

Method (600) executed on a computer for managing an external warning system, comprising the method: Interception (608) of a first subset of a plurality of events (118, 126) by a security agent (114, 122) of a client machine (106, 108) generated by a first execution environment (112A, 222B, 112C; 120) utilizing the client machine, wherein the first subset of the plurality of events is intercepted according to a first learned security policy (116, 124), wherein the first learned security policy is learned based on observing the operation of the first execution environment, wherein the first subset comprises less than half of the plurality of events, and wherein at least one event from the first subset of events is of an event type associated with a malicious code profile; Detection (610) of an irregularity by the security agent and based on the first learned security policy for the first execution environment, based on comparing at least one intercepted event with at least one rule of the first learned security policy; and Execution (612) of a defusing measure by the security agent in response to the detection of the irregularity.

A machine has a network interface circuit with connectivity to a network interconnecting a client machine and a large language model machine. A bus connects the network interface circuit, a processor and a memory. The memory stores instructions executed by the processor to receive a natural language product requirements description from the client machine, generate an exemplary list of features for the natural language product requirements description, and produce a specification of expected output. The natural language product requirements description, the exemplary list of features and the expected output are passed to the large language model machine. A response from the large language model machine is evaluated for product requirements completeness and accuracy.

The performance of peripheral devices redirected to remote servers is improved by reducing overall input lag. Some embodiments provide a “push” method that includes a client computer repeatedly requesting data from a peripheral device to which it is connected. The client computer is connected to a remote server via a network connection, and it does not need to wait for a data request from the remote server to start or continue making requests to the peripheral device. This allows the client computer to redirect any response packets of data received from the peripheral device to a queue on the remote server as soon as they are made available by the peripheral device. The remote server can then bypass the network latency associated with sending a request to the client computer across the network connection and waiting for a response by retrieving any available response packets directly from its queue.

Systems and methods for adaptive attack resistance and amortized distributed symmetric cryptography are disclosed. A client computer can communicate with several cryptographic devices to encrypt or decrypt data. Each cryptographic device can possess one or more secret shares corresponding to one or more different secret values, which can be used in the process of encrypting or decrypting data. The client computer can generate one or more promises and transmit those promises to the cryptographic devices. Each cryptographic device can generate partial computations based on the promises and their respective secret shares. The partial computations can be transmitted to the client computer. The client computer can use the partial computations to generate a cryptographic key or a bulk key. The client computer can use the cryptographic key or one or more message keys derived from the bulk key to encrypt one or more messages or decrypt ciphertext.

A specification of sound producing elements within a graphical scene is provided as input to an artificial intelligence (AI) model. The specification of the sound producing elements includes a description of each sound producing element and a position of each sound producing element within a three-dimensional (3D) space relative to a virtual ambisonic microphone location within the graphical scene. A library of sound effects is also provided as input to the AI model. The AI model is executed to automatically generate an ambisonic soundfield for the specification of sound producing elements within the graphical scene from the library of sound effects. The automatically generated ambisonic soundfield is conveyed to a client computing system for post-processing by a sound designer.

The computer-implemented method serves for assessing cotton suppliers supplying raw cotton to cotton processors (2.1-2.4). It comprises the steps of: receiving by a server computer system (1) from at least one cotton processor (2.1-2.4) measurement sets for different cotton samples, each measurement set comprising at least one measured value for at least one cotton-quality parameter (a-h), and information on the cotton supplier of the cotton sample; assigning to each measurement set the information on the cotton supplier; storing in a database (12) the measurement sets together with the assigned information; statistically evaluating the measurement sets; and transmitting a result of the statistical evaluation comparing at least two different cotton suppliers, together with the information on the at least two cotton suppliers, to a client computer (8). The method facilitates an efficient and environmentally friendly trading of raw cotton.

Embodiments of the disclosure are related to a method, apparatus, and system for threat detection for a collective of client computer networks to provide active defense including: collecting network security logs for a client computer network of a collective of client computer networks, the collective of client computer networks including at least one or more other client computer networks; monitoring the network security logs of the client computer network; generating an alert if a condition of the network security logs matches a rule to detect malicious behavior; and based upon the alert, initiating an automated response for the client computer network and for each of the other client computer networks of the collective of client computer networks.