194 results about "Client machine" patented technology

A computing services environment may include a database system storing a plurality of database records for a plurality of client organizations accessing computing services including a conversational chat assistant. The computing services environment may also include an application server may receive user input for the conversational chat assistant, a generative language model interface, an orchestration and planning service configured to identify one or more actions based on the user input, to execute the one or more actions to determine a natural language response message, and to determine a recommended action for selection via a conversational chat interface. The computing services environment may also include a communication interface configured to transmit the natural language response message and a user interface generation instruction executable by the client machine to provide a selection affordance for selecting the recommended action.

A computing services environment may include a database system storing database records for client organizations accessing computing services including a conversational chat interface, an application server providing access to the conversational chat interface, a metadata repository storing metadata entries characterizing a actions capable of being performed via the computing services environment, and an orchestration service configured to execute an orchestration process based on a natural language request message received via the conversational chat interface. An input prompt including the natural language request message and descriptions of actions selected from the metadata entries may be determined and transmitted to a generative language model. A prompt completion including a plan that includes a subset of the actions and a natural language description of the plan may be received from the generative language model and sent to a client machine via the conversational chat interface.

A computing services environment may include a database system storing a plurality of database records for client organizations accessing computing services including a conversational chat assistant accessible via various communication channels. The computing services environment may also include a communication interface configured to receive an input message from a client machine via a communication channel, a generative language model interface providing access to one or more generative language models, and an orchestration and planning service. The orchestration and planning service may be configured to analyze the input message to determine a novel text passage via a generative language model, to determine novel text formatting information based on designated text formatting configuration information specifying one or more parameters for formatting text generated for transmission via the communication channel, and to transmit the novel text passage and the novel text formatting information to the client machine via the communication interface.

Methods, storage systems and computer program products implement embodiments of the present invention method for protecting a client computer, which includes a processor and a display. The method includes analyzing a web page that was downloaded to the client computer, and identifying, by the processor, a password input field in the web page. After rendering the password input field to the display, an input to the password input field is captured, and the captured input is evaluated against a specified password policy. Finally, an alert is generated upon detecting a violation of the specified password policy.

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 computer-implemented method operates on serializable or de-serializable programmatic objects representing deployments. Each deployment object can be programmatically applied to or associated with a collection of remote (cloud, or in-datacenter) compute resources ("target resources") from another machine ("client machine"). The client machine does need direct network access to the target resources and instead makes network requests to an API server that can connect to the target resources, directly or indirectly. Users leverage deployment APIs to construct a deployment object that is then transmitted securely through an API server, which conducts access checks. The deployment APIs allow users to reference "deployment metadata" (for example, the versioned build image) by name to facilitate reusability, reduce errors, and allow for administrator-curated deployment configurations. Additionally, the deployment APIs of an embodiment allow users to reference data integrations, datasets, user-defined functions, and machine learning models to ensure consistent workflow execution.

A computerized method efficiently and instantaneously delivers an application in a third-party environment. An application plugin associated with the application is published to an application publishing portal, while the application itself is stored in an application repository. The application plugin is a fraction of a size of the application. A request is received from a client machine to download the application. In response to the request, the application plugin, instead of the application, is provided to the client machine. The application plugin, comprising metadata and instructions to locate the application on the application repository, is used to make the application available to the user without installing the application on the client machine. The disclosure enables savings on network bandwidth, memory usage, and processing when delivering the application to the client machine.

A system implements an emergent web space to bind a host computer to one or more client computers. A host computer generates data aspects of characteristically random data to create emergent web spaces in which website resources can be rendered by one or more client computers intersecting the same emergent web spaces. A binding is established between the host computer and one or more client computers when a block of true random data generated by the host computer is provided to the one or more client computers. A unique block of true random data together with the remote storage of data aspects constitutes a zone. A software application executing on the one or more client computers is configured to retrieve data aspects from within the same zone, and further configured to resolve and then render website resources.

A request to establish a communication session from an end point to a tenant of a computing services environment may be received from an external computing system managed by an external entity in accordance with a designated communication package definition configured by the external entity and defining access information for a designated communication channel outside of the computing services environment. An agent account of a plurality of agent accounts associated with the tenant may be determined based on routing configuration information specified in the designated communication package definition. The communication session may be established via the designated communication channel from the end point through the external computing system and the computing services environment to a first client machine authenticated to the agent account. One or more messages may be transmitted from the end point to the first client machine via the communication session.

Systems, methods, and instructions of computer-readable media may include obtaining, at a client machine, a user-selected configuration parameter for an orbit simulation; sending, from the client machine to a remote system, via a network connection, a first set of configuration parameters for the orbit simulation, wherein the first set of configuration parameters comprise the user-selected configuration parameter; receiving, at the client device from the remove device, via the network connection, a stream of orbital data comprising points along an orbit, wherein the points along the orbit are determined by the remote system based on the first set of configuration parameters; and presenting, at a display, a dynamic rendering of the orbit simulation, wherein the orbit simulation is based on the stream of orbital data.

A technique executes a client machine-trained model (“client model”) on a client device. In operation, the client device submits a description of a task to be performed by the client device to a network-accessible main system. The main system uses a main-system machine-trained model (“main-system model”) to produce a task prompt based on the task description. The client device subsequently uses the task prompt to process queries pertaining to the task. The main-system is trained to increase the accuracy of responses produced by the client model, while reducing the sizes of task prompts produced by the main system. The training process is performed by holding weights of the client model constant.

In one embodiment, a computer-implemented method comprises, using an application server computer that is communicatively coupled to a database via a telecommunication network, the database comprising a digitally stored relational table schema storing a plurality of term sets, each of the term sets comprising a plurality of terms, the application server computer hosting an application program programmed with a plurality of distractor selection algorithms; executing each of the distractor algorithms to access a particular term from among the plurality of the terms as an input and to generate a plurality of corresponding first interim sets of candidate distractor terms, for the particular term, as an output; executing a first inference stage of a within-set machine learning model over the same particular term as input to generate classification output comprising a second interim set of candidate distractor terms, for the particular term; executing a second inference stage of a cross-algorithm ranking machine learning model over the plurality of corresponding first interim sets and the second interim set to generate a top-N set of best candidate distractors; digitally storing the top-N set of best candidate distractors in a table of the relational table schema in association with the particular term; formatting the top-N set of best candidate distractors with the particular term as a multiple-choice question set and transmitting, to a client computer, presentation instructions which when rendered using the client computer cause presenting a user interface comprising the particular term as a prompt and the top-N set of best candidate distractors as available answers.

A client computer system implements a cryptocurrency wallet using derived cryptographic keys generated from an implicit certificate. The client computer system uses a root key pair that includes a root public key and a root private key to produce the implicit certificate. The implicit certificate is provided to other entities which generate derived public keys from the implicit certificate. In an embodiment, the client computer system encodes an identifier and additional information into the implicit certificate. In an embodiment, entities may derive one or more public keys from the implicit certificate, and the client computer system may derive corresponding private keys from the implicit certificate and the root key pair. In an embodiment, the client computer system generates a tree or derived key pairs that may be used to delegate portions of the cryptocurrency wallet to other computer systems.

In one embodiment, a method of building an optimized color flow cytometry panel is disclosed using a full spectrum flow cytometer with five excitation lasers and five corresponding detection modules. In another embodiment, a graphical user interface is disclosed generated by a server computer from a fluorochrome database and displayed by a client computer to assist in the selection of a set of fluorochromes for use in an assay to analyze biological samples. The GUI can display spectra graphs to visually show how fluorochromes may overlap and can generate similarity indexes for the paired fluorochrome interference and a complexity index for overall many to many interferences generated by a selected group or set of fluorochromes.

A workshop planner client computer system communicates with an artificial intelligence (AI) workshop generation system for the generation of workshops based on inputs provided by a user. The AI-based workshop generation system is configured to receive natural language workshop generation request data from the workshop planner client computer system. The workshop generation request includes a natural language request data describing the life skill and level of education for which the workshop is desired. The received natural language request data is then processed by the AI-based workshop generation system using an artificial intelligence system. During the workshop generation process, the AI-based workshop generation system also accesses a curriculum database including curriculum data for one or more educational standards. The curriculum database helps the AI-based workshop generation system to align the generated workshop and test2pass with the educational standards.

Technical solutions are directed to creation and deployment of multi-stage test problems. A processor can provide, to a client, a first data structure for a first stage of a multi-stage test problem including a description for generation of a client solution for the first stage and a test case to evaluate the client solution. The processor can receive, from the client, a client data structure comprising the client solution including a client computer code generated at the client for the first stage. The processor can determine, by evaluating the client solution using an input value and an output value of the test case, that the output of the client solution satisfies a validity condition of the output value. The processor can provide, to the client, based on satisfying the validity condition, a second data structures for a second stage of the multi-stage test problem.

Computer-implemented systems and methods provision a virtual machine sandbox for evaluating software. Firewall means are provisioned for a cloud network to permit access to an internet site from which source code is downloadable. A client computer device, via virtualization, controls a virtual machine. The client computer device is on an on-premises network that is different from, and in communication with, the cloud network. The virtual machine is controlled to: (a) download to the virtual machine, via the firewall means, the source code from the internet site; and (b) execute the source code for evaluation of the source code. The virtual machine is deleted after a predetermined time period. The source code is prohibited, after provisioning the virtual machine and through deletion of it, from being downloaded from the virtual machine to computer devices on the on-premises network.

A computer-implemented method for parallel downloading of content includes connecting to a server through which a content is available, starting to download the content from the server to a client computer, determining whether to split the downloading of the content based on a set of factors, the set of factors comprising a network latency metric and a remaining download time to download a remaining amount of the content and based on a determination to split the downloading of the content, and in parallel to downloading a first part of the content from the server to the client computer, connecting to the server and downloading an additional part of the content from the server to the client computer.

Enforcing attestation of read-only protected memory during attestation validity period. A client computer system identifies a change in a read-only protected memory protection status for a software component loaded at the client computer system. The client computer system then determines that a validity time period of an attestation report is unexpired. The attestation report comprises one or more attested properties, including one or more read-only memory protection (ROMP) attested properties for the software component. The client computer system also determines that at least one ROMP attested property for the software component is no longer valid due to the change in the read-only protected memory protection status for a software component. Based on the at least one ROMP attested property for the software component being no longer valid, the client computer system initiates a remedial action to prevent interaction of the software component with a relying party computer system.

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.

In some instances, a method for generating security rules for a cloud environment is provided. The method comprises: generating one or more dictionary data structures based on a plurality of data logs, wherein each of the one or more dictionary data structures comprise a key and a value; determining one or more recent network traffic rules based on the one or more generated dictionary data structures; determining a new recommended network traffic rule based on one or more security groups associated with the plurality of data logs and consolidating the one or more recent network traffic rules with historical proposed traffic rules; and applying the new recommended network traffic rule to network data transferred between a server machine and one or more client machines.

The application relates to a method for solving the one-key shutdown of multiple computers in a heterogeneous system, and solves the problems of management complexity and low efficiency in the prior art. A central control server is arranged in a network environment, a set of central control services and a set of message queue services are arranged in the server, client control software is arranged on each client computer, an administrator or operator sends a one-key shutdown instruction on the client computer with the one-key shutdown control right, the central control service sends the shutdown instruction to each client computer in the network environment after receiving the shutdown instruction, each client computer receives the shutdown instruction, performs self-state detection, feeds back a shutdown confirmation instruction to the central control service after meeting the shutdown condition, and executes self-shutdown of the client computer, the central control service receives the shutdown confirmation instructions of all the clients, completes self-shutdown, and realizes the unified shutdown operation of multiple computers.

Systems and methods for noise agnostic federated learning are disclosed. A method may include a client computer program executed by an electronic device in a federated learning computer network comprising a plurality of clients: receiving, from a federated learning computer program, a data format having desirable noise characteristics; transforming a client data set comprising variable noise characteristics to the data format using a client generative adversarial network (GAN); generating client weights for the transformed client data set, wherein the client weights indicate features of the client data set; communicating the client weights to the federated learning computer program; receiving, from the federated learning computer program, adjusted weights, wherein the adjusted weights are based on the client weights and a plurality client weights received from the clients in the federated learning computer network; and updating the client weights for a client machine learning model using the adjusted weights.

In one embodiment, a computer-implemented method can use a server computer to obtain from a client computer a text input in a query from a user and access in digital data storage coupled to the server computer a plurality of digital images. The computer-implemented method can train a deep learning model to determine a first embedding for the text input and a second embedding of each of the plurality of images. The computer-implemented method can identify one or more relevant images based on a respective similarity of the first embedding to the second embedding. The computer-implemented method can determine image informativeness and confidence scores for information terms of each of the one or more relevant images. The computer-implemented method can transmit to the client computer in response to obtaining the text input, instructions for presenting a user interface comprising the one or more relevant images and the confidence scores.

The objective is to provide a mechanism that allows for the rapid installation of printer drivers. [Solution] The installer 1210 is a program that installs a printer driver, which is already installed on the print server 1000 and has certificate data that proves the legitimacy of the digital signature, onto the client computer 3000. The installer 1210 causes the computer to perform a sharing determination step to determine whether the printer driver is set to be shareable with the client computer 3000, and a data generation step to generate installation data that includes certificate data from the print server 1000 and can be installed on the client computer 3000 if it is determined that the printer driver is set to be shareable.

The invention discloses a security layout display system and method based on client decryption and secret key isolation, the system comprises a data scrambling server and a client computer, the server generates a scrambling matrix and a descrambling matrix exclusive to a client, and performs graphic scrambling on layout data through affine transformation to realize zero plaintext storage at a server side; the client descrambles and displays data in real time through the browser plug-in; the method comprises the steps of key generation and distribution, server-side scrambling and client-side descrambling. The method fundamentally improves data security, realizes strong encryption isolation among clients, gives consideration to user experience, is suitable for the field of remote checking of semiconductor layouts, and remarkably reduces the risk of IP leakage.

A system and method for self-adjusting cybersecurity analysis with network mapping, wherein a reconnaissance engine gathers data about a client's computer network from the client, from devices and systems on the client's network, and from the Internet regarding various aspects of cybersecurity. Each of these aspects is evaluated independently, weighted, and cross-referenced to generate a cybersecurity score by aggregating individual vulnerability and risk factors together to provide a comprehensive characterization of cybersecurity risk using a transparent and traceable methodology. The scoring system itself can be used as a state machine with the cybersecurity score acting as a feedback mechanism, in which a cybersecurity score can be set at a level appropriate for a given organization, and data from clients or groups of clients with more extensive reporting can be used to supplement data for clients or groups of clients with less extensive reporting to enhance cybersecurity analysis and scoring.

Disclosed is a system and method for updating URL redirection. A server implementing a Short URL service receives a Short URL for redirecting a client computer system to a destination network location and obtains a first Long URL corresponding to the Short URL. Responsive to the retrieving the first Long URL, the server passes the first Long URL to a Callback API and receives an Updated Long URL from the Callback API. The Updated Long URL is generated by the Callback API responsive to receiving the first Long URL. The first Long URL corresponds to a first destination network location and the Updated Long URL corresponds to a second destination network location. The server then responds to the client computer system by causing the client computer to be redirected to the Updated Long URL returned by the Callback API.

A computer-implemented method executed using a browser extension that is associated with a web browser of a client computer, the method comprising: detecting that the web browser of the client computer has initiated loading a web page into computer memory of the client computer; inserting one or more browser-executable scripts into the web page in the computer memory; using the one or more browser-executable scripts, obtaining data on one or more aspects of the web page; sending the data on the one or more aspects of the web page to a second computer for analysis; receiving from the second computer a risk value corresponding to a potential security risk associated with the one or more aspects of the web page; based on the risk value, selecting a corrective action from among a plurality of different corrective actions, wherein each different corrective action in the plurality of different corrective actions corresponds to a different risk value associated with the potential security risk; executing the corrective action by modifying the web page in the computer memory.

A method may include causing a client computer to display a graphical user interface including a hierarchical element tree, the hierarchical element tree including a plurality of hierarchically arranged selectable elements. The method may further include, in response to receiving a selection of a selectable element in the hierarchical element tree and in accordance with the selected selectable element being associated with a remote content item that is managed by an external platform separate from the content collaboration system, selecting a content processing engine, retrieving content from the remote content item at the external platform and using an address associated with the remote content item, processing the content from the remote content item using the selected processing engine to produce renderable content, the renderable content formatted in accordance with the platform-specific structured data format, and causing display of the renderable content in the content panel.