32 results about "Context values" patented technology

Variants of the method can include determining a design, generating a geometric representation of the design, generating a topological representation of the design, determining a context value set, predicting a physical field using a trained physics model, optionally verifying the physical field, optionally generating a corrected physical field, and optionally training the physics model based on the corrected physical field.

An example operation may include one or more of receiving interaction content from an interaction session between devices of internal participants of a service provider, determining contextual values of the interaction content based on execution of one or more machine learning (ML) models on the interaction content, annotating the interaction content with the contextual values, aggregating the interaction content with previously received and annotated interaction content to generate aggregated content, and training an ML model to output responses from the service provider based on execution of the ML model on the aggregated content.

A system and method for improving generative artificial intelligence (AI) software application response is provided. The method includes: receiving a query directed to a generative AI software application; receiving a response to the query, the response generated by the generative AI software application; generating a first contextual value based on the received query; generating a second contextual value based on the received response; generating a verification score based on the first contextual value and the second contextual value; and initiating a mitigation action in response to detecting that the verification score is below a predetermined threshold

Device and Method for Managing Access Rights and Authorizations This description concerns a method for managing access to the use of an automated system, comprising: - providing an identification value, associated with a user, to a first device; - generating, via a secure circuit of the first device, an account address based on a master key associated with the first device, the identification value, and a context value; - sending a transaction to the account address in a blockchain; - validating or invalidating the transaction, by the blockchain, based on the balance associated with the account address in the blockchain; and - if the transaction is validated by the blockchain, authorizing the first device to grant the user access to the automated system. Figure for the abstract: Fig. 8

A displacement amount decoding unit (206) of a mesh decoding device (200) according to the present invention has: an arithmetic decoding unit (206B) configured so as to generate a binarized syntax by arithmetically decoding a displacement amount bit stream; a context value update unit (206C) configured so as to update the context value using the binarization syntax; a context selection unit (206E) configured to generate a context value for output using the context value read from the context buffer (206D), the position of the bit, and the syntax; a multi-system unit (206F) configured to binarize the syntax by multi-system, generate a syntax, and output the syntax to a context buffer (206D); and a coefficient level value decoding unit (206F2) configured so as to generate a coefficient level value in accordance with a syntax.

The system provides the ability to understand the contextual values of an image-based document, regardless of the sender format. The system may analyze the contextual values associated with the different formats and classify the documents based on the contextual values and a business process. The system may provide filters that may be defined by the business process. The system may be adapted for different business process types, input formats and languages. The system may filter out documents that are not intended for a particular business process. The system may also create and send exemption reports about the rejected documents.

Variants of the method can include determining a design, generating a geometric representation of the design, generating a topological representation of the design, determining a context value set, predicting a physical field using a trained physics model, optionally verifying the physical field, optionally generating a corrected physical field, and optionally training the physics model based on the corrected physical field.

A system for processing a plurality of concurrent threads comprising: a reconfigurable processing grid, comprising logical elements and a context storage for storing thread contexts, each thread context for one of a plurality of concurrent threads, each implementing a dataflow graph comprising an identified operation; and a hardware processor configured for configuring the at reconfigurable processing grid for: executing a first thread of the plurality of concurrent threads; and while executing the first thread: storing a runtime context value of the first thread in the context storage; while waiting for completion of the identified operation by identified logical elements, executing the identified operation of a second thread by the identified logical element; and when execution of the identified operation of the first thread completes: retrieving the runtime context value of the first thread from the context storage; and executing another operation of the first thread.

A system for processing a plurality of concurrent threads comprising: a reconfigurable processing grid, comprising logical elements and a context storage for storing thread contexts, each thread context for one of a plurality of concurrent threads, each implementing a dataflow graph comprising an identified operation; and a hardware processor configured for configuring the at reconfigurable processing grid for: executing a first thread of the plurality of concurrent threads; and while executing the first thread: storing a runtime context value of the first thread in the context storage; while waiting for completion of the identified operation by identified logical elements, executing the identified operation of a second thread by the identified logical element; and when execution of the identified operation of the first thread completes: retrieving the runtime context value of the first thread from the context storage; and executing another operation of the first thread.

System and techniques to provide use constraints when distributing user interface component are described herein. A request for a user interface component is received with a call context. This call context is matched to a local use context that embodies constraints on use of the UIC. Corresponding call context values are compared to the use context to determine whether the use of the user interface component is compliant. If the use is compliant, the user interface component is served in response to the request; otherwise the user interface component is not served.

As AI accelerator pods scale to hundreds of accelerators connected through encrypted switches, some implementations for directional key derivation and targeted key management on encrypted links, include a circuit configured to derive encryption keys using a key derivation function with a context value that includes a device pair type field. The device pair type field has different values for the accelerator-to-switch direction and the switch-to-accelerator direction, producing mathematically distinct encryption keys for each direction on the same physical link. Some implementations further include a key management message format comprising a target type field indicating whether a key operation targets an accelerator or a switch. When an accelerator receives a key management message targeting a switch, the accelerator drops the message and signals an error. When a switch with collective security enabled receives a key management message targeting a switch, the switch performs the specified key operation.

A method and related system for providing contextual data using ephemeral records includes operations to detect a request for communication from a first device associated with a first identifier to a second device associated with a second identifier and retrieve a profile from a database based on the first identifier in response to detecting the request. The method also includes retrieving an ephemeral record of the profile based on the second identifier, where the ephemeral record is associated with an expiration time and includes a set of context values provided via a first message associated with the second identifier. The method also includes providing a second message including the set of context values to the second device and deleting the ephemeral record at a time exceeding the expiration time where receiving the second message causes a screen of the second device to display the set of context values.

The present description concerns a method of management of the access to the use of an automaton comprising the supply of an identification value, associated with a user, to a first device; the generation, by a secure circuit of the first device, of an account address based on a master key associated with the first device, on the identification value, and on a context value; the sending of a transaction to the account address in a blockchain; the validation or invalidation of the transaction by the blockchain based on the balance associated with the account address in the blockchain; and if the transaction is validated by the blockchain, the authorizing, by the first device, for the user to access the use the automaton.

A system can receive a group of data packets originated by at least one edge device. The system can decrypt respective data packets of the group of data packets, to reconstruct a file that is represented by the group of data packets. The system can extract a contextual value of the file. The system can input the respective contextual values and a defined rulebook to a retrieval-augmented generation system, wherein the defined rulebook comprises rules applicable to traffic routing in a human-readable format, and wherein the retrieval-augmented generation system outputs a priority for transmission of the group of data packets. The system can transmit the group of data packets to a destination based on the priority and the defined rulebook.

Embodiments of the present invention relate to a method and apparatus for speech intent recognition, a storage medium, and electronic equipment, and relate to the technical field of speech semantic recognition. The method comprises: obtaining spectral features corresponding to the speech to be recognized, and calculating the global features of the speech to be recognized based on the spectral features; calculating a text recognition result of the speech to be recognized based on the global features of the speech to be recognized, and calculating a context value for the text recognition result; and recognizing the intent of the speech to be recognized based on the context value of the text recognition result. Embodiments of the present invention improve the accuracy of intent recognition results.

A method and related system for providing contextual data using ephemeral records includes operations to detect a request for communication from a first device associated with a first identifier to a second device associated with a second identifier and retrieve a profile from a database based on the first identifier in response to detecting the request. The method also includes retrieving an ephemeral record of the profile based on the second identifier, where the ephemeral record is associated with an expiration time and includes a set of context values provided via a first message associated with the second identifier. The method also includes providing a second message including the set of context values to the second device and deleting the ephemeral record at a time exceeding the expiration time where receiving the second message causes a screen of the second device to display the set of context values.

A context for a current block is determined. The current block has a block size and is partitioned into sub-blocks. The block size is mapped to a context group using a block size map. A probability model is selected from a probability table based on the context and the context group. A syntax element related to partitioning of the current block is entropy coded using the probability model. The context may be determined based on a left neighboring block and an above neighboring block of the current block. Determining the context may include calculating a context value based on whether the left neighboring block has a same size as the current block and whether the above neighboring block has a same size as the current block, and combining the context value with a context group identifier using a predefined offset value.

A method for decoding a video from a video bitstream representing the video, the method includes: accessing a binary string from the video bitstream, the binary string representing a slice of a frame of the video; determining an initial context value of an entropy coding model for the slice to be one of a first context value stored for a first CTU in a previous slice of the slice, a second context value stored for a second CTU in the previous slice, and a default initial context value independent of the previous slice; decoding the slice by decoding at least a portion of the binary string according to the entropy coding model with the initial context value; reconstructing the frame of the video based, at least in part, upon the decoded slice; and causing the reconstructed frame to be displayed along with other frames of the video.

Systems and methods for generating legal document drafts for individual cases based on case content and exemplary segments of legal documents. Exemplary implementations may: store case content for individual cases, obtain first case content for a first case from electronic storage, provide the first case content and / or user-provided context values as input to a large language model, provide one or more prompts to the large language model that configure the model to generate a first document draft, obtain output from the large language model including the first document draft, provide the first document draft to a user, and / or other exemplary implementations.

A method includes determining one or more context values for at least one context used for encoding or decoding a current slice or picture, determining that a buffer for storing sets of temporal initialization points from two or more slices or pictures for context-based arithmetic coding is full, determining a first set of temporal initialization points associated with a slice or picture, from among the two or more slices or pictures, based on at least one of a slice type, a temporal identification value, or a quantization parameter (QP) value of the slice or picture, removing the first set of temporal initialization points that is associated with the slice or picture, and storing a second set of temporal initialization points associated with the current slice or picture, wherein the second set of temporal initialization points are based on the determined one or more context values.

A circuit of a mesh decoding device 200: generates a binarization syntax by performing arithmetic decoding on the displacement bit stream; updates a context value using the binarization syntax; generates a context value for output using the context value, a bit position, and a syntax read from a context buffer 206D; generates and outputs a syntax to the context buffer 206D by multi-value conversion of the binarization syntax; generates a coefficient level value from the syntax.

To provide a method and an apparatus for controlling intra-inter prediction for decoding or encoding a video sequence.SOLUTION: A method determines whether a neighboring block of the current block is coded using an intra-inter prediction mode, on the basis of determining that the neighboring block is coded using the intra-inter prediction mode, performs intra-mode coding of the current block using an intra-prediction mode associated with the intra-inter prediction mode, sets a prediction mode flag associated with the neighboring block, obtains a context value on the basis of the prediction mode flag associated with the neighboring block, and performs entropy coding using the obtained context value for the prediction mode flag associated with the current block, which indicates that the current block is intra-coded.SELECTED DRAWING: Figure 7

Systems, devices, methods, media, and instructions for automated image processing and content curation are described. In one embodiment a server computer system communicates at least a portion of a first content collection to a first client device, and receives a first selection communication in response, the first selection communication identifying a first piece of content of the first plurality of pieces of content. The server analyzes analyzing the first piece of content to identify a set of context values for the first piece of content, and accesses accessing a second content collection comprising pieces of content sharing at least a portion of the set of context values of the first piece of content. In various embodiments, different content values, image processing operations, and content selection operations are used to curate the content collections.

A method for transmitting a user datagram protocol (UDP) flow and related devices are provided. The method includes encapsulating a UDP packet in a HTTP datagram payload including a Context ID and a payload containing the UDP packet to be transmitted; and transmitting the HTTP datagram payload with the encapsulated UDP packet, wherein according to Context ID namespace, a value of the Context ID is assigned by the network element from a range of Context ID values defined in a format of the HTTP datagram payload, and the Context ID namespace is associated with a datagram mode of the HTTP datagram payload.

Systems, devices, methods, media, and instructions for automated image processing and content curation are described. In one embodiment a server computer system communicates at least a portion of a first content collection to a first client device, and receives a first selection communication in response, the first selection communication identifying a first piece of content of the first plurality of pieces of content. The server analyzes analyzing the first piece of content to identify a set of context values for the first piece of content, and accesses accessing a second content collection comprising pieces of content sharing at least a portion of the set of context values of the first piece of content. In various embodiments, different content values, image processing operations, and content selection operations are used to curate the content collections.

A near-eye display includes a processor to generate a sensor input value based on sensor data received from one or more sensors associated with the near-eye display and generate a context value based on a contextual score indicating a user state associated with the near-eye display. The contextual score is based in part on previous user interactions with a user interface of the near-eye display. The processor is also configured to compute an input event value based on the sensor input value and the context value and determine whether to trigger a change in virtual content displayed by the near-eye display based on comparing the input event value to a threshold.

A method and related system for providing contextual data using ephemeral records includes operations to detect a request for communication from a first device associated with a first identifier to a second device associated with a second identifier and retrieve a profile from a database based on the first identifier in response to detecting the request. The method also includes retrieving an ephemeral record of the profile based on the second identifier, where the ephemeral record is associated with an expiration time and includes a set of context values provided via a first message associated with the second identifier. The method also includes providing a second message including the set of context values to the second device and deleting the ephemeral record at a time exceeding the expiration time where receiving the second message causes a screen of the second device to display the set of context values.

A description of stimuli used for functional verification of a circuit design is received. The description includes classes of variables and the variable include random variables. A coverage model for the functional verification of the circuit design is also received. The coverage model includes coverage targets that are functions of the variables. A processing device generates stimuli for multiple iterations of the functional verification, as follows. Context values, which include values of the random variables for the stimuli, are maintained. The values of the random variables in an individual class are randomized, and the randomization of the random variables in the individual class is biased to hit the coverage targets given the context values for the random variables outside the individual class. Whether the coverage targets are hit by the generated stimuli is determined.

A description of an excitation used for functional verification of a circuit design is received. The description includes a class of variables, and the variables include random variables. A coverage model for functional verification of the circuit design is also received. The coverage model includes a coverage target as a function of a variable. As follows, the processing device generates an incentive for a plurality of iterations of the functional verification. Context values are maintained, including values of random variables for excitation. The values of the random variables in a single class are randomized, and the randomization of the random variables in the single class is biased to hit the coverage target given context values of the random variables outside the single class. It is determined whether the generated incentive hits a coverage target.

A description of stimuli used for functional verification of a circuit design is received. The description includes classes of variables and the variable include random variables. A coverage model for the functional verification of the circuit design is also received. The coverage model includes coverage targets that are functions of the variables. A processing device generates stimuli for multiple iterations of the functional verification, as follows. Context values, which include values of the random variables for the stimuli, are maintained. The values of the random variables in an individual class are randomized, and the randomization of the random variables in the individual class is biased to hit the coverage targets given the context values for the random variables outside the individual class. Whether the coverage targets are hit by the generated stimuli is determined.