376 patents
Page 2 of 19
Utility
Classification-based Machine Learning Frameworks Trained Using Partitioned Training Sets
23 Nov 23
Various embodiments of the present invention improve the speed of training classification-based machine learning models by introducing techniques that enable efficient parallelization of such training routines while enhancing the accuracy of each parallel implementation of a training routine.
Eric B. Tal, Joel D. Stremmel, Vijay S. Nori, Daniel J. Mulcahy, Mostafa Bayomi, Ahmed Kayal
Filed: 18 May 22
Utility
Machine Learning Techniques for Traversal Path Optimization
16 Nov 23
Various embodiments of the present invention disclose techniques for traversal path optimization given a traversal network comprising a group of nodes comprising a plurality of navigation orchestration nodes and using a traversal path optimization machine learning model.
Yiriliam FERNANDEZ GONZALEZ, Ramprasad Anandam GADDAM, Gregory J. BOSS, Jon Benjamin GRIFFITH
Filed: 13 May 22
Utility
Predictive Data Analysis Techniques Using a Hierarchical Risk Prediction Machine Learning Framework
9 Nov 23
Various embodiments of the present disclosure provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations using a hierarchical risk prediction machine learning framework that comprises an initially-deployed risk prediction machine learning model, a dynamically-deployed risk prediction machine learning model, and a risk aggregation machine learning model.
Paul J. Godden, Melanie Majerus, Ahmed Selim, Nancy Joan Mendelsohn, Erin A. Satterwhite, Gregory J. Boss
Filed: 5 May 22
Utility
Methods and Systems to Detect Eating
2 Nov 23
Embodiments include methods and systems for automated eating detection.
Steven Catani, Jed Ludlow, Tyler Stigen, Joseph A. Roxas, Nino Paul D. Batanay
Filed: 7 Jul 23
Utility
Supervised and Unsupervised Machine Learning Techniques for Communication Summarization
2 Nov 23
Various embodiments provide for summarization of an interaction, conversation, encounter, and/or the like in at least an abstractive manner.
Suman Roy, Vijay Varma Malladi, Ayan Sengupta
Filed: 2 May 22
Utility
Natural Language Processing Techniques Using Hybrid Reason Code Prediction Machine Learning Frameworks
2 Nov 23
Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing natural language processing operations using a hybrid reason code prediction machine learning framework.
Suman Roy, Thomas G. Sullivan, Vijay Varma Malladi, Matthew J. Stewart, Abraham G. Tesfay, Gaurav Ranjan
Filed: 28 Apr 22
Utility
System for Predicting Healthcare Spend and Generating Fund Use Recommendations
2 Nov 23
This disclosure describes techniques that include a method for estimating healthcare costs, the method comprising applying, by a computing system, a machine learning (ML) model to a user subgraph of a current user to generate an estimated healthcare cost of the current user for a future time period, wherein the user subgraph of the current user is graph data comprising nodes and edges that represent information associated with medical care of the current user; and generating, by the computing system, a user interface including a budget for the future time period that includes the estimated healthcare cost and a list of selectable medical expense categories, wherein each of the selectable medical expense categories includes an associated cost.
Adam Russell, Thomas C. Linden, Brendan J Moriarity, Elliot C. Johnson, Robert Kahn Rossmiller
Filed: 2 May 22
Utility
Ontology Change Graph Publishing System
26 Oct 23
A method comprising: generating, by a computing system, a change graph that represents a change to an ontology graph; generating, by the computing system, an impact score for the change graph by applying at least one of a deterministic rule and a machine learning technique to the change graph; and outputting, by the computing system, the change graph and the impact score for the change graph to a subscriber system.
Daniel G. McCreary, Jeffrey L. Winkler
Filed: 21 Apr 22
Utility
Variable-output-space Prediction Machine Learning Models Using Contextual Input Embeddings
26 Oct 23
As described herein, various embodiments of the present invention use an output space refinement machine learning model to filter C of the B candidate predictive associations that are referred to herein as dynamically-preselected candidate predictive associations for each prediction input data object, with every prediction input data object being associated with a different subset of the dynamically-preselected candidate predictive associations, where C is less than B and is in some embodiments typically much less than B.
Abhay Shukla, Ramprasad Anandam Gaddam, Srinjay Nath, Deepak Singh
Filed: 26 Apr 22
Utility
Enhanced Calibration of Imaging Device Output
26 Oct 23
A method comprises: obtaining a current initial image generated by an image generator of an imaging device based on current input signals of sensors of the imaging device; and applying a transformation model to the current initial image to generate a current transformed image, wherein the transformation model is a machine-learning model that has been trained to generate transformed images that more closely resemble reference images generated by a reference image generator.
Kieran O'Donoghue, Mostafa Bayomi, Neill Michael Byrne, Michael J. McCarthy, Ahmed Selim
Filed: 21 Apr 22
Utility
System and Method for Automated Data Entry and Workflow Management
19 Oct 23
A system and method that provides for integrated data entry and workflow capabilities through one or more computing devices provided to personnel who work at various stations throughout a facility.
Matthew Nichols
Filed: 20 Jun 23
Utility
Systems and Methods for Processing Machine Learning Language Model Classification Outputs Via Text Block Masking
19 Oct 23
Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for processing document classification system outputs, wherein classification routine iterations are performed using masked document data objects comprising one or more masked text blocks.
Joel Stremmel, Eran Halperin, Brian Hill
Filed: 14 Oct 22
Utility
Personalized Health Search Engine
12 Oct 23
Example devices and techniques are described for personalizing a health-related search.
Vidhya Krishnaprasad, Amanda R. Hoppock, Mary E. Ayala, Erin M. Moore
Filed: 6 Apr 22
Utility
Combined Deep Learning Inference and Compression Using Sensed Data
12 Oct 23
An example device is configured to encode first sensed data using a first encoder and to predict a first behavior based on the encoded first sensed data to create a first prediction using a first prediction model.
Damian Kelly, Megan O'Brien, Gregory Buckley, Colleen B. Caveney
Filed: 12 Apr 22
Utility
Predictive Data Analysis Operations Using a Hierarchical Intervention Recommendation Machine Learning Framework
12 Oct 23
Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations using a hierarchical intervention recommendation machine learning framework.
Ninad D. Sathaye, Manoj Kapoor, Gregory J. Boss, Raghav Bali
Filed: 12 Apr 22
Utility
Digital Image Processing Techniques Using Bounding Box Precision Models
12 Oct 23
Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing digital image processing operations.
Swaroop S. Shekar, Atul Subhash, Veera Raghavendra Chikka, Vamsi M. Bhandaru
Filed: 6 Apr 22
Utility
Machine Learning Techniques for Extracting Interpretability Data and Entity-value Pairs
5 Oct 23
Various embodiments provide automatic extraction of interpretable and entity-specific data from unstructured/semi-structured data.
Rajesh Sabapathy, Gourav Awasthi, Chirag Mittal, Ankur Gulati
Filed: 5 Apr 22
Utility
Machine Learning Techniques for Integrating Distinct Clustering Schemes Given Temporal Variations
5 Oct 23
Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations configured to integrate distinct clustering schemes given temporal variations.
Abhay Shukla, Deepak Singh, Srinjay Nath, Ramprasad Anandam Gaddam
Filed: 30 Mar 22
Utility
Generating User-specific Incentives for Voyages Based on User Healthcare Skills
5 Oct 23
An example method for generation of travel-booking user interfaces, the method including receiving, by a computing system, a user interface request to present to a user a travel-booking user interface that indicates one or more available voyages from an originating location to a destination location, determining, by the computing system and for each respective voyage of the one or more available voyages, a user-specific incentive for the respective voyage that is based at least in part on applicable healthcare skills of the user and health metrics of passengers that are already booked for the respective voyage, wherein the applicable healthcare skills include healthcare skills that are applicable to an in-voyage medical emergency, and generating, by the computing system and based on the user interface request, the travel-booking user interface based on the determined user-specific incentive.
Abhay Shukla, Ramprasad Anandam Gaddam, Shailaja Daral
Filed: 30 Mar 22
Utility
Natural Language Processing Techniques Using Multi-context Self-attention Machine Learning Frameworks
28 Sep 23
Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing natural language processing operations using a multi-context convolutional self-attention machine learning framework that comprises a shared token embedding machine learning model, a plurality of context-specific self-attention machine learning models, and a cross-context representation inference machine learning model, where each context-specific self-attention machine learning model is configured to generate, for each input text token of an input text sequence, a context-specific token representation using a context-specific self-attention mechanism that is associated with the respective distinct context window size for the context-specific self-attention machine learning model.
Mostafa Bayomi, Ahmed Selim, Kieran O’Donoghue, Michael Bridges
Filed: 29 Apr 22