263 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 text interaction record is received at a database system. The text interaction record may include interaction text from one or more messages between a client machine and a service provider. An input database record creation prompt that includes natural language instructions to generate database record field text based on the text interaction record may be determined. The input database record creation prompt may include some or all of the interaction text. The input database record creation prompt may be transmitted to a large language model for completion. A completed database record creation prompt may be received from the large language model. The completed database record creation prompt may include a text element created by the large language model based on the input database record creation prompt. A database record including a database field storing the text element may be generated in the database system.

A method for authentication tunneling is described. The method includes transmitting an authentication prompt to a client machine via an encrypted channel between a first authenticator application running on the remote machine and a second authenticator application running on the client machine. The authentication prompt may be associated with accessing resources via an identity management system. The method may further include receiving, from the client machine via the encrypted channel, a first authentication response comprising user verification data, an identifier of the client machine, and a first digital signature of the second authenticator application. The method may further include generating, by the first authenticator application running on the remote machine, a second authentication response comprising the user verification data, the identifier of the client machine, an identifier of the remote machine, the first digital signature, and a second digital signature of the first authenticator application.

A system, method and apparatus to control memory devices over computer networks. For example, a server system establishes a secure authenticated connection with a client computer system. Over the connection, the server receives from the client computer system a request identifying a memory device and determine, based on data stored in the server system, that the client computer system is eligible to control the memory device. In response to a request from the client computer system, the server system generates a digital signature for a command using at least a cryptographic key stored in the server system in association with the memory device. The client computer system receives the digital signature from the server system and submits the command with the digital signature to the memory device. The memory device validates the digital signature prior to execution of the command.

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 method of processing medical implant device data for preoperative patients, the method including storing, by a computer memory, a first list of medical implant devices. The method assigning, by a processor in communication with the computer memory, one or more device-variables to each of the plurality of medical implant devices, and storing, by the computer memory, one or more queries assigned to the one or more device-variables. Further, connecting a client computer with the processor and transmitting to the client computer the one or more queries. Receiving, by the processor, one or more data inputs from the client computer in response to the one or more queries. Generating, by the processor, a second list of medical implant devices as a function of the one or more data inputs received, and transmitting the second list of medical implant devices to the client computer.

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.

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.

The present disclosure is a system and method for transmitting management data between a client computer and a remote device within a network. The system and method for transmitting management data between a client computer and a remote device within a network may include an adapter configured to receive a data stream from the client computer, separate the stream into user data and management data, and send the user data and the management data to different ports of the remote device. The adapter also includes a storage element capable of storing the management data and transmitting the management data to the remote device upon an input from the 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 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.

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 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.

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.

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.

A failure prediction method including a predicting flow and a model training flow, the predicting flow including receiving a natural language input from a client computer, translating the input into a task by a LLM, selecting a ML model dedicated to the task, receiving first data, converting the first data to second data of a predetermined format, immediately applying, the ML model on the second data for predicting an output and providing a corresponding explanation, storing the second data and the output into historical data in a storage layer, translating the output and the explanation into a prediction in the natural language by the LLM, and transmitting the prediction to the client computer and iterating the predicting flow for a predetermined number of time; and the model training flow including retrieving the historical data from the storage layer, and training the ML model on the historical data.

Examples provide a server system for dynamic provision of elements features of a software application. The server includes an electronic processor configured to receive, from a client computer, session identifier and access information of a client software session running on the client computer and determine a set of session identity factors at least including licenses, user privileges, compatibilities, and application feature availabilities associated with the client software session. The electronic processor determines, from a set of application features, a first subset of application features to which the client software session is entitled based on an intersection of availability, compatibility, user privilege, and licensing of each respective application feature. The electronic processor delivers the first subset of application features to the client software session, causing each of the first subset of application features to load and render on a user interface of the client computer.

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 computing system may include a communication interface configured to receive from a first client machine a natural language description of a three-dimensional environment. A path embedding generator may determine a path language representation of a three-dimensional virtual environment based on the natural language description and via a large language model interface. The path language representation may be generated in accordance with a path language definition and may include one or more entities to include within the three-dimensional virtual environment. The path language representation may include a script governing behavior of the one or more entities and including one or more events. A video may be rendered based on the path representation.

In an approach to improve computer-based virtual world collaboration environments, embodiments of the present invention identifies, by a client computer, a structure of a virtual world collaboration room and the placement of participants in the virtual world collaboration room, and correlates, by an internet of things (IoT) sensor set, body language of an avatar to match a spoken context of the avatar. Further, embodiments select personalized virtual world collaboration room or a predetermined physical location to conduct a virtual world collaboration and utilize a generative adversarial network (GAN) to adapt the avatar to the personalized virtual world collaborative environment. Additionally, embodiments perform real-time adaptation, by the GAN, of participating avatars to generate and output a required body language for the participating avatars based on their location different personalized virtual world collaboration rooms.

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.

In some instances, a method for generating network traffic rules for a cloud environment is provided. The method comprises: determining one or more recent network traffic rules based on current network traffic rules that are being applied to one or more first server machines; determining a new recommended network traffic rule based on analyzing the one or more recent network traffic rules and historical proposed traffic rules; and applying the new recommended network traffic rule to network data transferred between a second server machine and one or more client machines.

In one embodiment, a method of building an optimized color flow cytometry panel is disclosed using a spectral flow cytometer with a least three excitation lasers and thirty-eight color detectors. 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.