MODEL TESTING USING TEST SAMPLE UNCERTAINTY
Granted: June 6, 2024
Application Number:
20240185027
Using encoded representations of target model training data and a label corresponding to each portion of the target model training data, a proxy model to determine an uncertainty score corresponding to an output of a trained target model is trained. Using the trained proxy model, a set of uncertainty scores is computed, each uncertainty score in the set of uncertainty scores corresponding to a portion of target model testing data in a set of target model testing data. A subset of the set…
NETWORK BANDWIDTH DETERMINATION FOR ADAPTIVE WEB-CONFERENCE RENDERING AND TRANSMISSION
Granted: May 30, 2024
Application Number:
20240179271
A method for transmitting web-conference content over a network connection is disclosed. In one embodiment, such a method conducts a web conference over a network connection. The method monitors characteristics of the network connection in order to determine bandwidth of the network connection during the web conference. The method implements, on the network connection, a “raw” mode wherein audio data of the web conference is transmitted over the network connection in an original…
AUTOMATIC DETECTION OF ROBOTIC PROCESS AUTOMATION TRIGGER EVENTS
Granted: May 30, 2024
Application Number:
20240176594
An embodiment includes classifying an incoming communication message as having an instruction classification based on a natural language processing (NLP) analysis of the incoming communication message. The embodiment extracts, responsive to classifying the incoming communication message as having the instruction classification, user operations as a workflow dataset. The embodiment clusters the workflow dataset into a task cluster with other similar workflow datasets representative of…
SENSOR CONFIGURATION AND DATA SUPPLEMENTATION
Granted: May 23, 2024
Application Number:
20240171885
By analyzing first configuration data of a set of sensors, a first configuration of the set of sensors is measured. A set of permutations of the first configuration is generated. For each permutation in the set of permutations, a corresponding set of virtual sensor data is generated. Using an analysis on each set of virtual sensor data and a set of real sensor data obtained using the first configuration, a corresponding analysis result is caused to be determined. Using the quality…
ACTIVE LEARNING IN MODEL TRAINING
Granted: May 23, 2024
Application Number:
20240169253
Using a first dataset of labeled data, a model is trained by adjusting a feature extractor parameter, a classifier parameter, and a discriminator parameter of the model. Using the discriminator parameter and a parametric function of the feature extractor parameter, a plurality of samples of a dataset of unlabeled data is scored. A subset of the scored plurality of samples is selected for labeling. Responsive to receiving a label of each of the selected subset of the scored plurality of…
LONG-RANGE COUPLING QUBITS IN QUANTUM COMPUTING WITH ENERGY LOSS PROTECTION VIA MULTI-MODE AND FLUXONIUM QUBITS
Granted: May 23, 2024
Application Number:
20240169232
One or more systems, devices, or methods of use provided herein relate to a process of long-range coupling qubits in a quantum computing device with energy loss protection. A system can comprise a first transmon coupler capable of selectively coupling a first tunable coupler qubit to a first fluxonium qubit; a second transmon coupler capable of selectively coupling a second tunable coupler qubit to a second fluxonium qubit. Additionally, in one or more embodiments, the system can include…
System and Method for Integrated Multiple Pluggable Systems
Granted: May 23, 2024
Application Number:
20240168932
A method for storing metadata and a configuration schema for each of a plurality of capabilities, and storing a plurality of catalogs, each catalog identifying the metadata and configuration schema associated with at least one of the plurality of capabilities. The method also includes receiving a request for implementation of one of the plurality of capabilities on a pluggable system, and associating, by a lifecycle manager and based on a catalog of the plurality of catalogs related to…
DATA MINIMIZATION USING GLOBAL MODEL EXPLAINABILITY
Granted: May 16, 2024
Application Number:
20240160773
An embodiment analyzes a predictive model and its input data for the predictive model using an explainability algorithm resulting in a feature importance value of a feature. The embodiment analyzes feature values of the feature using a generalization function resulting in a set of candidate feature values. The embodiment determines an alternative feature based on the set of candidate feature values, wherein the alternative feature is a generalization of the feature. The embodiment…
SIGNAL BASED NODE RELATIONSHIP IDENTIFICATION
Granted: May 16, 2024
Application Number:
20240163190
A generated signal is injected into a first network node in a set of network nodes. The generated signal comprises a predetermined pattern, the predetermined pattern comprises a plurality of time periods, wherein during each time period in the plurality of time periods a first data traffic is prevented from exiting the first network node. By monitoring data flow within the set of network nodes while the generated signal is being injected, a correlation with the generated signal is…
DATA MINIMIZATION USING LOCAL MODEL EXPLAINABILITY
Granted: May 16, 2024
Application Number:
20240160965
An embodiment includes generating feature explainability data associated with a feature in a set of features of a sample represented by input data for a predictive model, where the explainability value is based at least in part on a significance of the feature for an output of the predictive model for the sample. The embodiment extracts feature value data from the input data that is representative of a feature value of the feature for the sample. The embodiment constructs a…
KEYPHRASE GENERATION
Granted: May 16, 2024
Application Number:
20240160653
Using a trained keyphrase generation model, a set of keyphrases corresponding to an input document is generated, a keyphrase in the set of keyphrases comprising a word summarizing a portion of a document. A relevance score measuring a similarity between the keyphrase and the document is calculated for a keyphrase in the set of keyphrases. The relevance score is adjusted according to a diversity balancing function.
SECURING SENSITIVE DEBUG DATA
Granted: May 16, 2024
Application Number:
20240160530
An embodiment monitors an operational state of a processor-based system and identifies a system error that satisfies a reboot condition for a reboot event. The embodiment generates debug data indicative of the operational state of the system when the system error occurred. The embodiment stores the debug data in a memory that retains data during the reboot event. The embodiment intercepts a debug data requests from an untrusted entity, thereby preventing the untrusted entity from…
ADAPTIVE OBSERVABILITY MODULE RECONFIGURATION
Granted: May 16, 2024
Application Number:
20240160504
Using interaction profiling data and deployment state data of a software application, an observability module configuration plan is generated, the configuration plan comprising an event to be observed and an observability parameter. Using infrastructure state estimation data of the infrastructure on which the software application is executing, the observability module configuration plan is adjusted, the adjusting resulting in an adjusted reconfiguration plan, the adjusted reconfiguration…
AUTO-DETECTION OF OBSERVABLES AND AUTO-DISPOSITION OF ALERTS IN AN ENDPOINT DETECTION AND RESPONSE (EDR) SYSTEM USING MACHINE LEARNING
Granted: May 2, 2024
Application Number:
20240146746
A technique for threat response associated with an endpoint detection and response (EDR) system. The system uses a combination of automated observable detection, threat intelligence enrichment, graph analysis, and supervised machine learning to machine-predict analyst behavior in classifying (as ‘true’ or ‘false’ positives) the EDR alerts, and to support either (i) automated suppression of those alerts that the system classifies with sufficient confidence as either true or false,…
OPTIMIZING SOURCE CODE USING CALLABLE UNIT MATCHING
Granted: May 2, 2024
Application Number:
20240143297
An embodiment searches source for callable units, and scans the contents of the callable units, and generates a set of unit groups that each include one or more of the callable units. The embodiment preprocesses the callable units and then generates hashes of each of the callable units. The embodiment generates a data structure comprising unit identifiers associated with the hashes and their corresponding callable units. The embodiment generates statistical data using a callable-unit…
EFFICIENT RANDOM MASKING OF VALUES WHILE MAINTAINING THEIR SIGN UNDER FULLY HOMOMORPHIC ENCRYPTION (FHE)
Granted: April 25, 2024
Application Number:
20240137205
A method, apparatus and computer program product for privacy-preserving homomorphic inferencing. In response to receipt of encrypted data, a ciphertext of real numbers is generated. Each real number has an associated sign that is desired to be maintained. A mask is then identified, preferably via an iterative algorithm that works on a trial and error basis to locate an appropriate solution. The mask comprises set of values randomly distributed over a given positive range and that remain…
MONITORING TRANSFORMER CONDITIONS IN A POWER DISTRIBUTION SYSTEM
Granted: April 25, 2024
Application Number:
20240135280
An embodiment includes receiving, by a transformer monitoring system associated with a transformer, sensor data from one or more sensors during operation of the transformer. The embodiment also includes generating, by the transformer monitoring system, energy loss data representative of a predicted energy loss of the transformer based at least in part on the sensor data. The embodiment also includes training, by the transformer monitoring system, a failure rate prediction model using…
FUSED MULTIPLY-ADD LOGIC TO PROCESS INPUT OPERANDS INCLUDING FLOATING-POINT VALUES AND INTEGER VALUES
Granted: April 25, 2024
Application Number:
20240134601
Provided are a floating-point unit, a system, and method for fused multiply-add logic to process input operands including floating-point values and integer values. A first input operand comprising an integer value and second and third input operands comprising floating-point values are received. The first, second, and third input operands are processed to produce a floating-point result.
GENERATING INCIDENT EXPLANATIONS USING SPATIO-TEMPORAL LOG CLUSTERING
Granted: April 18, 2024
Application Number:
20240126630
An embodiment includes detecting a set of anomalies recorded during a first predefined window of time in log entries for a computer environment. The embodiment also includes generating cluster data representative of a cluster of anomalies from among the set of anomalies, where the cluster is formed using a lattice clustering algorithm that spatially distinguishes the cluster of anomalies from other anomalies in the set of anomalies. The embodiment also includes composing an explanation…
LARGE OBJECT DATA REPLICATION
Granted: April 18, 2024
Application Number:
20240126778
Within a database table being replicated from a source database to a target database, a first logged database operation on a database column holding large object (LOB) data is identified. The source database is queried for a plurality of rows of LOB data, each row in the plurality of rows of LOB data comprising LOB data stored in the database column holding LOB data. Responsive to determining that a first row of LOB data in the plurality of rows of LOB data is smaller than a message size…
