Abstract: An information handling system includes a hardware processor executing code instructions of an artificial intelligence (AI) productivity tool subagent to gather system/component context telemetry data and to invoke a telemetry data-to-vectorized telemetry intent machine learning (ML) model algorithm to vectorize the system/component context telemetry data and normalize each dimension in the vectorized system/component context telemetry data to a telemetry intent value using a hardware-specific normalization factor. The hardware processor executes code instructions of a query input-to-intent ML model algorithm to generate a query intent value for received user query input and concatenate the telemetry intent value with the query intent value to produce a unified telemetry and query intent value.

Abstract: A system and method for executing computer readable code instructions for an on-the-box artificial intelligence (AI) productivity tool comprising a hardware processor receiving a user query input requesting a capability intent action by a capability of a plurality of AI productivity tool-enableable software applications and determining a query sentiment score from the user query input and appending the query sentiment score with a query intent value determined from an embedding of the user query input to generate a sentiment hybrid query input intent value. The hardware processor to perform a semantic similarity search comparing sentiment hybrid capability intent values of capability nodes of a capabilities decision tree with the sentiment hybrid query intent value to identify and execute a semantic context best match capability node having a highest sentiment weighted cosine semantic similarity search score in response to the user query input and user’s sentiment.

Abstract: The present invention provides a quantum communication system and associated methods for securely establishing a cryptographic key between two or more transmitters and a receiver. Each transmitter emits qubit signals from a light source within defined time windows, characterized by specific bases and modes controlled by a transmitter controller. The receiver utilizes an interference device with multiple inputs to receive qubit signals and outputs to generate an interference signal, which is detected by multiple detectors. A receiver controller sends information on detected outputs to transmitters and provides feedback based on spectral characteristics. Simultaneously, the system adjusts subsequent qubit signal characteristics based on this spectral feedback, enabling the establishment of a cryptographic key between transmitters using the detected signals. This adjustment optimizes the cryptographic key rate, enhancing security and efficiency in quantum communication protocols.

Abstract: A quantum communication system and associated methods are described for securely establishing a cryptographic key between multiple transmitters and a receiver. Each transmitter emits qubit signals from a light source within defined time windows, characterized by specific bases and modes controlled by a transmitter controller. The receiver utilizes an interference device with multiple inputs to receive qubit signals and outputs to generate an interference signal, which is detected by multiple detectors. A receiver controller sends information on detected outputs to transmitters and provides feedback based on temporal characteristics. Simultaneously, the system adjusts subsequent qubit signal characteristics based on this temporal feedback, enabling the establishment of a cryptographic key between transmitters using the detected signals. This adjustment optimizes the cryptographic key rate, enhancing security and efficiency in quantum communication protocols.

Abstract: An information handling system executing computer readable code instructions for an on the box artificial intelligence productivity tool to receive a user query input and, with a language dependent hybrid weighting algorithm determine a variable weighting factor based on a portion of the user query input that is in a primary language that is also used in descriptions of capabilities on the information handling system and any terms having a high keyword relevance score, and determining a language-dependent hybrid weighted semantic search score for each of the capabilities relative to the user query input by weighting the cosine semantic search score of a semantic comparison by a lexical keyword comparison score as modified by the variable weighting factor for the user query input. A hardware processor to identify and execute a responsive capability for the received user query input based on its language-dependent hybrid weighted semantic search score.

Abstract: An information handling system for an on-the-box artificial intelligence productivity tool may comprise a memory storing descriptions of capabilities associated with software applications in a decision tree with each capability and a generated capability intent value stored as a capability node grouped under one of several branches in parent-child relationships, and a hardware processor executing machine readable code instructions to generate a query input intent value from a user query input requesting action by one of the software applications, comparing the capability intent values of each of the capability nodes in the decision tree, as weighted by a lexical comparison between the user query input and each of the descriptions of capabilities to conduct a breadth-first search to identify a best match childless capability node having a highest lexical weighted cosine semantic similarity search score, and executing the associated best match capability from the best match childless capability node.

Abstract: An information handling system executing computer readable code instructions for an on the box artificial intelligence (AI) productivity tool may comprise a hardware processor executing computer-readable code instructions for generating toxicity intent values from natural language descriptions of defined toxic utterances that include metadata identifying a toxicity type and a defined response to the toxic utterance, generating a query input intent value for a user query input received via a user requesting an action by an AI productivity tool-enableable software, performing a cosine semantic similarity search comparing the toxicity intent values to the query input intent value to identify a matching toxic utterance in the user query input having a toxicity intent value that generates a highest toxicity cosine semantic similarity search score, and instructing the user interface to provide the defined response from metadata for the identified toxic utterance of a heightened type.

Abstract: A system and method for matching multimodal user-query input at an information handling system includes storing capabilities associated with a plurality of AI productivity tool-enablable software applications in a hierarchical capabilities decision tree with each node including natural language textual and non-textual modality descriptions of a capability and multimodal capability intent values generated from the same. Executing code instruction to receive a multimodal user-query input in any of text, audio, or image and generate a multimodal query input intent value for matching to a best match capability for a responsive action to be taken by one of the plurality of AI productivity tool-enablable software applications executing on the information handling system via a semantic similarity search comparing the multimodal query input intent value to the multimodal capability intent values in the hierarchical capabilities decision tree based on a highest cosine semantic similarity search score.

Abstract: An apparatus comprises a processing device configured to obtain monitoring data characterizing presence of hardware and software components on information technology assets, to generate a state map characterizing which of the hardware and software components were present on each information technology asset when installation of a given driver was attempted and whether the installation of the given driver was successful.

Abstract: An on the box artificial intelligence productivity tool may comprise a hardware processor executing computer-readable program code instructions for gathering natural language descriptions of capabilities associated with each of a plurality of AI productivity tool-enablable software applications, generating capability intent values from the natural language descriptions of the gathered capabilities, generating a query input intent value for a user query input received via text or audio requesting an action to be taken by one of the plurality of AI productivity tool-enableable software applications, executing a cosine semantic similarity search comparing the capability intent values to the query input intent value to identify a best match capability for the received user query input having a capability intent value that generates a highest cosine semantic similarity search score, and instructing a first of the plurality of AI productivity tool-enableable software applications having the best match capability to

Abstract: A system and method for executing computer readable code instructions for an on-the-box (OTB) artificial intelligence (AI) productivity tool comprising a hardware processor accessing capabilities associated with each of a plurality of AI productivity tool-enablable software applications, a natural language capabilities database memory to store natural language descriptions of the capabilities and capability intent values generated from the natural language descriptions in a capabilities decision tree with each capability node grouped under a branch of the capabilities decision tree according to logical topics in hierarchical parent-child relationships, the hardware processor generating a query input intent value from a user query input and performing a cosine semantic similarity search comparing the capability intent values of the capability nodes along the branch of the capabilities decision tree for identifying a best match capability node having a highest cosine semantic similarity search score, and the ha

Abstract: An information handling system for an on-the-box artificial intelligence productivity tool may comprise a memory storing descriptions of capabilities associated with software applications in a decision tree with each capability and a generated capability intent value stored as a capability node grouped under one of several branches in parent-child relationships, and a hardware processor executing machine readable code instructions to generate a query input intent value from a user query input requesting action by one of the software applications, comparing the capability intent values of the capability nodes along a branch in the decision tree with a weighted by a TF-IDF comparison between the user query input and each of the descriptions of capabilities to identify a best match capability node having a highest TF-IDF weighted cosine semantic similarity search score, and executing an associated best match capability for a first software application having the best match capability node.

Abstract: An on the box artificial intelligence productivity tool may comprise a hardware processor executing computer-readable program code instructions for gathering natural language descriptions of capabilities associated with each of a plurality of AI productivity tool-enablable software applications, generating capability intent values from the natural language descriptions of the gathered capabilities, generating a query input intent value for a user query input received via text or audio requesting an action to be taken by one of the plurality of AI productivity tool-enableable software applications, executing a cosine semantic similarity search comparing the capability intent values to the query input intent value to identify a best match capability for the received user query input having a capability intent value that generates a highest cosine semantic similarity search score, and instructing a first of the plurality of AI productivity tool-enableable software applications having the best match capability to

Abstract: A system and method of a hardware processor executing code instructions for selecting between artificial intelligence (AI) productivity tool-enablable software applications during processing an AI productivity tool query of an AI productivity tool module includes gathering capabilities associated with each of a plurality of AI productivity tool-enablable software applications, generating capability intent values for association with natural language descriptions of the gathered capabilities associated with each of a plurality of AI productivity tool-enablable software applications, comparing the capability intent values associated with each of a plurality of AI productivity tool-enablable software applications for similarity, and determining among the gathered capabilities of each of the AI productivity tool-enablable software applications redundant or primary AI productivity tool-enablable software application capabilities based on a similarity threshold vector value for selection of capabilities to be used

Abstract: Systems and methods are disclosed for condition identification. One or more processors may receive a member data object with indicators and dimensions, access a member-specific graph network with nodes representing attributes and weighted edges indicating associations, modify the nodes and edges based on the member data object, generate a multi-modal graph database by combining the modified member-specific graph network and a disease graph network, apply the multi-modal graph database to an attention-based graph neural network (GNN) that identifies associations between nodes by dynamically allocating attention weights to edges, generate an embedding data object with node identifiers and vectors representing features and relationships, select a target node associated with condition data, apply the embedding data object to a classification layer that outputs predicted conditions for the target node, and generate the probability of predicted conditions appearing in the target node.

Abstract: A computer-implemented method for performing searches in a document database is disclosed. The method comprises automatically detecting a line of business associated with a user, receiving a text query from the user, and generating a query embedding from the text query. The method further comprises scoring entries in a reverse index using a hybrid scoring function. The reverse index comprises titles, title embeddings, sentences, sentence embeddings, and entity tags corresponding to documents in the document database. The hybrid scoring function is used to generate a score based both on a keyword match score between the text query and the reverse index and on a cosine similarity score calculated from embeddings in the text query and in the reverse index. The method also comprises ranking scores for sentences in the document database, and displaying a sentence associated with a top score to the user.

Abstract: An apparatus comprises a processing device configured to obtain monitoring data characterizing presence of hardware and software components on information technology assets, to generate a state map characterizing which of the hardware and software components were present on each information technology asset when installation of a given driver was attempted and whether the installation of the given driver was successful.

Abstract: A component health determination and reporting system includes a computing device having a computing device component. The computing device component includes computing device component subsystem(s) coupled to a health report generation subsystem. The health report generation subsystem receives telemetry data from each of the computing device component subsystem(s), performs data compaction operations on the telemetry data to generate compacted telemetry data, performs inference operations on the compacted telemetry data to generate a health report for the computing device component, and provides the health report to the computing device.

Abstract: A component health determination and reporting system includes a computing device having a computing device component. The computing device component includes computing device component subsystem(s) coupled to a health report generation subsystem. The health report generation subsystem receives telemetry data from each of the computing device component subsystem(s), performs data compaction operations on the telemetry data to generate compacted telemetry data, performs inference operations on the compacted telemetry data to generate a health report for the computing device component, and provides the health report to the computing device.

Abstract: A corrosion detection system includes a wire disposed in a groove extending circumferentially around an exterior surface of a pipe, the pipe comprising a pipe wall and a pipe liner that lines an inside surface of the pipe wall. The corrosion detection system also includes a sensor electrically coupled to the wire. The sensor is configured to generate a voltage in the wire, and detect a change in a property of the wire caused by exposure of the wire to a corrosive fluid that is present within the pipe but outside the pipe liner.