376 patents
Utility
Convolutional Machine Learning Models Using Multiple Tiling Mechanisms
18 Jan 24
As described herein, various embodiments of the present invention disclose techniques that improve efficiency of performing image-based machine learning operations on large images while limiting accuracy drawbacks of partial processing of those large images by using composite-tiled image embeddings for composite-tiled images generated by merging multiple tiled images that are generated using multiple tiling mechanisms.
Rama Krishna Singh, Ravi Pande, Priyank Jain
Filed: 13 Jul 22
Utility
Machine Learning Techniques Using Model Deficiency Data Objects for Tensor-based Graph Processing Models
11 Jan 24
Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for generating a model deficiency data object for a tensor-based graph processing machine learning model.
Paul J. Godden, Erik A. Nystrom, Gregory J. Boss
Filed: 7 Jul 22
Utility
Predictive Data Analysis Operations Using a Relationship Machine Learning Framework
11 Jan 24
Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis, wherein an opportunity prediction is generated for an input data object using a relationship matrix database object and based at least in part on a network segment associated with the input data object.
Conor Breen, Kevin Larkin, Octavio Palomo Sanchez, Jamie Howard
Filed: 4 Nov 22
Utility
Patient Treatment Status Notification System
4 Jan 24
A system is described.
Lawrence D. Garber, Logan M. Garber, Sean M. McCarthy, Scott G. Pilate
Filed: 14 Sep 23
Utility
Generation of Feature Stores
28 Dec 23
A method for generating a feature store comprises receiving an indication of user input indicating a database management system and a server system hosting a target database; and in response to receiving the indication of user input: determining a connection string for the target database; using the connection string to connect to the target database via the database management system; after connecting to the target database, generating a structure of the feature store in the target database; and populating the feature store with predefined feature values.
Harmeet S. Gambhir
Filed: 22 Jun 22
Utility
Natural Language Processing Machine Learning Frameworks Trained Using Multi-task Training Routines
28 Dec 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 an attention-based text encoder machine learning model that is trained using a multi-task training routine that is associated with two or more training tasks (e.g., a multi-task training routine that is associated with two or more sequential training tasks, a multi-training routine that is associated with two or more concurrent training tasks, and/or the like).
Suman Roy, Ayan Sengupta, Michael Bridges, Amit Kumar
Filed: 22 Jun 22
Utility
Natural Language Processing Machine Learning Frameworks Trained Using Multi-task Training Routines
28 Dec 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 an attention-based text encoder machine learning model that is trained using a multi-task training routine that is associated with two or more training tasks (e.g., a multi-task training routine that is associated with two or more sequential training tasks, a multi-training routine that is associated with two or more concurrent training tasks, and/or the like).
Suman Roy, Ayan Sengupta, Michael Bridges, Amit Kumar
Filed: 22 Jun 22
Utility
Natural Language Processing Machine Learning Frameworks Trained Using Multi-task Training Routines
28 Dec 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 an attention-based text encoder machine learning model that is trained using a multi-task training routine that is associated with two or more training tasks (e.g., a multi-task training routine that is associated with two or more sequential training tasks, a multi-training routine that is associated with two or more concurrent training tasks, and/or the like).
Suman Roy, Ayan Sengupta, Michael Bridges, Amit Kumar
Filed: 22 Jun 22
Utility
Machine-learning Based Irrelevant Sentence Classifier
28 Dec 23
There is a need for more effective, efficient, and accurate computer text comprehension.
Rajesh SABAPATHY, Chirag MITTAL, Gourav AWASTHI, Aditya Teja JOSYULA
Filed: 3 Oct 22
Utility
Machine-learning Based Transcript Summarization
28 Dec 23
There is a need for more effective and efficient predictive natural language summarization.
Rajesh SABAPATHY, Chirag MITTAL, Gourav AWASTHI, Aditya Teja JOSYULA
Filed: 3 Oct 22
Utility
Search Analysis and Retrieval Via Machine Learning Embeddings
21 Dec 23
Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for retrieving relevant items for user queries by generating, using a search engine machine learning model, a prediction-based action for the query input wherein query input embeddings of the query input are generated.
Laura D. Hamilton, Vinit Garg, Ayush Tomar, Martin R. Linenweber, Preet Kamal S. Bawa, David Armbrust, Rupesh Kartha, Lun Yu
Filed: 21 Oct 22
Utility
Prediction Model Selection for Cyber Security
21 Dec 23
A method includes predicting, before a first period of time, a plurality of predicted event metric values and value ranges corresponding to a first plurality of events to occur over the first period of time based on a plurality of prediction models, determining an actual event metric value of the first plurality of events, and determining a plurality of model range multi-partition error (MRME) values indicative of an accuracy, precision, and relative range of the forecasting models based on the actual event metric values, value ranges, and the predicted event metric values.
Ziqian Huang, Matthew H. Murphy, Michael J. Levin, William Casey
Filed: 17 Jun 22
Utility
Automated Interactive Voice Response Interaction Using Voice Prompt Classification Machine Learning Frameworks
21 Dec 23
Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective automated interactions with IVR systems.
Brent A. Mundie, Natraj Patil, Roger D. Dowell, Joseph M. Scavone, Barrett D. Santi
Filed: 16 Jun 22
Utility
Machine Learning Techniques for Mri Processing Using Regional Scoring of Non-parametric Voxel Integrity Rankings
7 Dec 23
Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive recommendations using an MRI acquisition set associated with a common target object.
David Alexander Dickie
Filed: 3 Jun 22
Utility
Efficient Multilabel Classification by Chaining Ordered Classifiers and Optimizing on Uncorrelated Labels
7 Dec 23
Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for converting a multilabel classification model into a sequence of a plurality of binary classification models based on a plurality of label subgroups associated with the multilabel classification model, where the label subgroups comprise an optimal subgroup size, the optimal subgroup size is generated by optimizing an optimization measure defined by a subgroup size variable and a total inner group correlation measure, and identifying label membership to a particular subgroup by using a mixed integer linear program model.
Neill Michael Byrne, Kieran O'Donoghue, Michael J. McCarthy
Filed: 7 Jun 22
Utility
Methods, Apparatuses, and Systems for Data Rights Tracking
30 Nov 23
Methods, systems, and apparatuses embodied herein control and track access to secured data independent of the asset storing the secured data.
Daniel L. Binkley, Lisa A. Hodne
Filed: 25 Jul 23
Utility
Natural Language Processing Techniques for Machine-learning-guided Summarization Using Hybrid Class Templates
30 Nov 23
As described herein, various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing natural language processing operations for generating guided summaries using summarization templates that are mapped to hybrid classes of a hybrid classification space for a hybrid classification machine learning model.
Rajesh Sabapathy, Chirag Mittal, Gourav Awasthi, Aditya Teja Josyula, Ankur Gulati, Lubna Khan, Tarun Bansal
Filed: 5 Oct 22
Utility
Network-wide Supervision In a Hierarchically-segmented Blockchain Network
23 Nov 23
Various embodiments of the present invention introduce techniques for efficient and resilient network-wide supervision of a hierarchically-segmented blockchain network.
Karim Mahmoud Mohamed Moustafa, Harutyun Shahumyan
Filed: 20 May 22
Utility
Machine Learning Techniques for Generating Disease Prediction Utilizing Cross-temporal Semi-structured Input Data
23 Nov 23
Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis using semi-structured input data.
Michael J. McCarthy, Kieran O'Donoghue, Mostafa Bayomi, Neill Michael Byrne, Vijay S. Nori
Filed: 17 May 22
Utility
Machine Learning Techniques for Dynamic Adjustment of an Immersive Augmented Reality Supervision Boundary
23 Nov 23
Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for performing AR processing using at least one of: (i) an exposure classification machine learning framework comprises a real-time embedding machine learning model, an exposure clustering machine learning model, and a cluster mapping machine learning model, (ii) supervision boundary reliability scores determined based at least in part on covered subsets for immersive AR supervision boundaries, (iii) supervision boundary reachability scores determined based at least in part on response node locations and least reachable locations of immersive AR supervision boundaries, or (iv) performing one or more AR interaction actions based at least in part on an updated immersive AR supervision boundary that is generated by reducing a supervision boundary area of the current immersive AR supervision boundary so that the supervision boundary reliability score satisfies the supervision boundary reliability score threshold.
Ninad D. Sathaye, Piyush Gupta, Harmeet S. Gambhir
Filed: 17 May 22