Patents.

Flare monitoring system and method

Transforming search engine queries

Scalable cluster database

System and method for building and repairing a script for retrieval of information from a web site

Hierarchical diff files

Multipathing using multiple endpoint addresses for load balancing in a network

Replicant simulation

Temporal replicant simulation

Index replication using crawl modification information

Suggested content with attribute parameterization

Knowledge extraction for automatic ontology maintenance

Cut-through decode and reliability

Token ID mechanism for network data transfer

Document summarization

Protocol to implement token ID mechanism for network data transfer

Combinators

Display of dynamic interference graph results

Dedicating disks to reading or writing

Combinators to build a search engine

Efficient ad selection in ad exchange with intermediaries

Index-based technique friendly CTR prediction and advertisement selection

Rate-based auction-format online advertisement management

Load balancing for multicast stream processors

Enhancing search results using ontologies

Dynamic inference graph

RAM daemons

Trash daemon

Slashtags

Search query transformations

Flexible authentication framework

Method of user verification for access authorization systems

Search term based query method with modifiers expressed as slash operators

A method of counting unique items in a database system

Slash label

Systems and methods for anonymizing private data for use in machine learning models

Described herein are techniques for performing a task using a trained external machine learning model. A user request comprising a task and one or more protected health information (PHI) parameters associated with a patient may be received. Using trained machine learning models, the PHI parameters may be extracted and a revised user request generated by replacing the PHI parameters with synthetic PHI parameters, which is then provided to the trained external machine learning model.

Machine learning framework and method for using the same

Systems and methods for modeling distributed service systems by a ledger system

A method and apparatus are described for modeling a software system of a distributed services system. The method includes receiving a stream of ledger transaction messages generated by a software system, which are then stored in a data store. A ledger system accesses a data model representing a state machine of the proper functioning of the software system, and a ledger clearance operation is performed using the state machine and the data stored within the stream of ledger transaction messages.

Magnitude Invariant Multimodal Agent for Efficient Image-Text Interface Automation

A multimodal agent architecture for automating image-text interfaces whose behaviour is invariant to input magnitude/resolution, enabling efficient UI automation by a vision-language model.

Digital asset custodial system

A digital asset custodial system for maintaining custody of, and controlling access to, cryptocurrencies and/or other digital assets, is disclosed.

Static approach to lazy materialization in database scans using pushed filters

Cloud storage for database using object storage

Systems and methods for text-to-image generation using language models

Embodiments described herein provide a mechanism for replacing existing text encoders in text-to-image generation models with more powerful pre-trained language models. Specifically, a translation network is trained to map features from the pre-trained language model output into the space of the target text encoder. The training preserves the rich structure of the pre-trained language model while allowing it to operate within the text-to-image generation model. The resulting modularized text-to-image model receives prompt and generates an image representing the features contained in the prompt.

Data lifecycle discovery and management (continuation)

Secure storage encryption system

Assisted database anomaly mitigation

Timeline framework for time-state analytics

Dynamic data center equipment analysis for service level agreement recommendation

Using a failure probability model, a probability of a failure in a first system within a specified time period is predicted. Using an impact model, an impact of the failure on a second system is predicted. Using a resilience model, an impact reduction of the failure is predicted. The probability, the impact, and the impact reduction are mapped into a recommended service level agreement category for the first system, the mapping performed using a classifier model.

Display screen or portion thereof with animated graphical user interface

Design patent. The ornamental design for a display screen or portion thereof with animated graphical user interface as shown and described.

Automatically classifying heterogenous documents using machine learning techniques

Methods, systems, and computer program products for automatically classifying heterogeneous documents using machine learning techniques are provided herein. A computer-implemented method includes extracting multiple features from one or more sets of heterogeneous documents; arranging at least a portion of the extracted features into multiple hierarchically-defined classes; selecting one or more of the documents associated with each of the multiple hierarchically-defined classes; training at least one machine learning model using at least a portion of the selected documents; and automatically classifying at least one input document into one or more of the multiple hierarchically-defined classes by processing one or more portions of the at least one input document using the at least one trained machine learning model.

Efficient extraction of provenance information from database query execution logs

Systems, methods, and devices are described for efficient extraction of provenance information from database query execution logs. A set of event records extracted from one or more database query execution logs is received. Groups of related event records are identified, and each defined as an activity. For each activity, an activity data structure is generated based on the associated event records. The data structure encodes query execution dependencies for the activity. For each activity, runtime information is extracted by identifying and instantiating process entities and relationships based on the associated event records and activity data structure. For each activity, lineage information is extracted by identifying and instantiating dataset entities and their lineage relationships based on query text within the associated event records. The lineage information is mapped to the runtime information for each activity to generate and store a provenance data model for use by one or more provenance applications.