Patents Assigned to AI, Inc.
  • Patent number: 12170360
    Abstract: Described herein are battery modules comprising immersion-cooled prismatic battery cells and methods of fabricating thereof. A battery module comprises prismatic battery cells that are stacked along the primary module axis. The module also comprises top, bottom, and side covers and two end plates, collectively enclosing these battery cells. Each cover forms two fluid channels, both fluidically open to the prismatic battery cells. Furthermore, the module comprises bus bars that interconnect the cell terminals and protrude into the fluid channels formed by the top cover. One end plate comprises two fluid ports for connecting to a thermal management system. Each port is fluidically coupled to one fluid channel, formed by the top cover, and one fluid channel, formed by the bottom cover. The other end plate fluidically couples the two fluid channels, formed by the top cover, and, separately, the two fluid channels, formed by the bottom cover.
    Type: Grant
    Filed: January 19, 2024
    Date of Patent: December 17, 2024
    Assignee: DIMAAG-AI, Inc.
    Inventor: Ian Wright
  • Patent number: 12168443
    Abstract: Described herein are electric vehicles comprising power distribution systems and methods of operating thereof. Specifically, a power distribution system is mechanically coupled to an electric motor, a road wheel, and an auxiliary unit. This system is configured to switch among multiple operating modes and selectively transfer mechanical power among the electric motor, wheel, and auxiliary unit. For example, the power distribution system is configured to transfer mechanical power between the electric motor and the road wheel, but not the auxiliary unit, when switched to a wheel operating mode. The power distribution system is configured to transfer mechanical power between the electric motor and the auxiliary unit, but not the road wheel, when switched to an auxiliary operating mode. The power distribution system is configured to transfer mechanical power between the electric motor, the auxiliary unit, and the road wheel when the system is switched to a combined operating mode.
    Type: Grant
    Filed: December 12, 2023
    Date of Patent: December 17, 2024
    Assignee: DIMAAG-AI, Inc.
    Inventors: Ian Wright, David Kieke
  • Publication number: 20240412520
    Abstract: Alert directives and focused alert directives allow a user to provide feedback to a behavioral recognition system to always or never publish an alert for certain events. Such an approach bypasses the normal publication methods of the behavioral recognition system yet does not obstruct the system's learning procedures.
    Type: Application
    Filed: August 14, 2024
    Publication date: December 12, 2024
    Applicant: Intellective Ai, Inc.
    Inventors: Wesley Kenneth COBB, Ming-Jung SEOW, Gang XU, Kishor Adinath SAITWAL, Anthony AKINS, Kerry JOSEPH, Dennis G. URECH
  • Publication number: 20240412858
    Abstract: A system and method for optimizing radiological workflow management and medical image review is disclosed. A preferred embodiment provides a system interoperable with various RIS and PACS systems and that provides efficient access to information, a dynamic prioritized worklist that constantly changes to address optimize distribution of studies and timely review. The novel system facilitates automated assignment, communication between physicians, technicians and radiologists regarding orders, radiographs, reports and studies. The system analyzes exam data, urgency and pendency times, among other things, to automatically determine an overall priority for each case. Cases are assigned for review in the most efficient time, resulting in optimal turnaround time and improved patient care.
    Type: Application
    Filed: August 20, 2024
    Publication date: December 12, 2024
    Applicant: RAD AI, Inc.
    Inventors: Rishi Seth, Matthew Long, Michael Emory, John Zarate
  • Publication number: 20240409098
    Abstract: Described herein are electric vehicles comprising power distribution systems and methods of operating thereof. Specifically, a power distribution system is mechanically coupled to an electric motor, a road wheel, and an auxiliary unit. This system is configured to switch among multiple operating modes and selectively transfer mechanical power among the electric motor, wheel, and auxiliary unit. For example, the power distribution system is configured to transfer mechanical power between the electric motor and the road wheel, but not the auxiliary unit, when switched to a wheel operating mode. The power distribution system is configured to transfer mechanical power between the electric motor and the auxiliary unit, but not the road wheel, when switched to an auxiliary operating mode. The power distribution system is configured to transfer mechanical power between the electric motor, the auxiliary unit, and the road wheel when the system is switched to a combined operating mode.
    Type: Application
    Filed: December 12, 2023
    Publication date: December 12, 2024
    Applicant: DIMAAG-AI, Inc.
    Inventors: Ian Wright, David Kieke
  • Patent number: 12165753
    Abstract: A computer program product includes multiple microservices for interrogating clinical records according to one or more projects associated with patient datasets obtained from electronic copies of source documents from the clinical records. A first microservice generates a user interface including a first portion displaying source documents and, concurrently, a second portion displaying structured patient data fields organized into categories for entering structured patient data derived from the source documents displayed in the first portion. Categories and their organization are defined by a template and include cancer diagnosis, staging, tumor size, genetic results, and date of recurrence. A second microservice validates abstracted patient data according to validation rules applied to the categories, validation rules being assigned to the projects and performed on the categories as they are populated.
    Type: Grant
    Filed: June 10, 2022
    Date of Patent: December 10, 2024
    Assignee: TEMPUS AI, INC.
    Inventor: Jonathan Ozeran
  • Patent number: 12165025
    Abstract: Provided is a process including: obtaining, for a plurality of entities, entity logs, wherein: the entity logs comprise events involving the entities, a first subset of the events are actions by the entities, at least some of the actions by the entities are targeted actions, and the events are labeled according to an ontology of events having a plurality of event types; training, with one or more processors, based on the entity logs, a predictive machine learning model to predict whether an entity characterized by a set of inputs to the model will engage in a targeted action in a given duration of time in the future; and storing the trained predictive machine learning model in memory.
    Type: Grant
    Filed: March 7, 2023
    Date of Patent: December 10, 2024
    Assignee: Cerebri AI Inc.
    Inventors: Sathish Kumar Lakshmipathy, Eyal Ben Zion, David Alexander Curry, Alain Charles Briancon, Michael Henry Engeling, Dmitrii Aleksandrovich Boldyrev, Sara Amini
  • Patent number: 12164161
    Abstract: An implementation provides a package that includes a first die including a bridging element, an analog/mixed-signal (AMS) die, and a general die. The first die includes: a first photonic transceiver portion, a first die first interconnect region, and an optical interface (OI). The AMS die includes a second photonic transceiver portion, an AMS die first interconnect region on a first surface of the AMS die electrically and physically coupled with the first die first interconnect region; and an AMS die second interconnect region on a second surface of the AMS die. The general die includes a third photonic transceiver portion, and a general die first interconnect region electrically and physically coupled with the second photonic transceiver portion.
    Type: Grant
    Filed: March 20, 2024
    Date of Patent: December 10, 2024
    Assignee: Celestial AI Inc.
    Inventors: Philip Winterbottom, David Lazovsky, Ankur Aggarwal, Martinus Bos, Subal Sahni
  • Patent number: 12165340
    Abstract: A computing component implemented as part of a vehicle architecture and configured to process point cloud data. The computing component comprising one or more programmable logics that, when executed, cause the computing component to generate one or more transformations to align scans of point cloud data, translate the aligned scans of the point cloud data to a universal coordinate system, and generate addresses and offsets to store the aligned scans of the point cloud data.
    Type: Grant
    Filed: January 18, 2022
    Date of Patent: December 10, 2024
    Assignee: Pony AI Inc.
    Inventor: Hao Shi
  • Patent number: 12164162
    Abstract: A package comprises a first die and a bridging element. The first die includes a compute element and/or memory element, a first region, a first portion of a photonic transceiver, and a first die interconnect region. The first region intersects a center of the first die. The first portion of a photonic transceiver includes and AMS block with a driver and transimpedance amplifier, coupled with the first die interconnect region. The bridging element includes a modulator and photodetector, connected with a bridging interconnect region. An optical interface, photonically linked with the first photonic transceiver, routes packets from an external device optical interface to the compute and/or memory element.
    Type: Grant
    Filed: April 11, 2024
    Date of Patent: December 10, 2024
    Assignee: Celestial AI Inc.
    Inventors: Philip Winterbottom, David Lazovsky, Ankur Aggarwal, Martinus Bos, Subal Sahni
  • Patent number: 12165236
    Abstract: A method for qualifying a specimen prepared on one or more hematoxylin and eosin (H&E) slides by assessing an expected yield of nucleic acids for tumor cells and providing associated unstained slides for subsequent nucleic acid analysis is provided.
    Type: Grant
    Filed: May 31, 2022
    Date of Patent: December 10, 2024
    Assignee: TEMPUS AI, INC.
    Inventors: Stephen Yip, Irvin Ho, Lingdao Sha, Boleslaw Osinski, Aly Azeem Khan, Andrew J. Kruger, Michael Carlson, Abel Greenwald, Caleb Willis, Andrew Westley, Ryan Jones, Brett Mahon
  • Patent number: 12165764
    Abstract: A system for optimizing resource allocation includes and/or interfaces with: a set of contextual data sources; a decision-making subsystem; and a set of schedules. Additionally or alternatively, the system can optionally include and/or interface with a set of user interfaces, memory, a set of data collection, and/or any other suitable components. A method for resource optimization includes: receiving a set of inputs; and processing the set of inputs and/or contextual data with a set of models to produce a set of schedules. Additionally or alternatively, the method can include any or all of: training the set of models; pre-processing the set of inputs to supplement the set of contextual data; dynamically adjusting the set of schedules; triggering a set of actions based on the set of schedules; updating the set of models; and/or any other processes.
    Type: Grant
    Filed: September 28, 2023
    Date of Patent: December 10, 2024
    Assignee: RAD AI, Inc.
    Inventors: William Boonn, Gregory Couch, John Paulett, Woojin Kim, Jeffrey Chang, Doktor Gurson
  • Publication number: 20240403776
    Abstract: Aspects of this disclosure are directed to enterprise systems and methods that provide machine learning and artificial intelligence (AI) driven software that generates baseline predictions and optimizations for production capacity to reduce waste and harmful byproducts. Baseline predictions can include resource baseline predictions that can help estimate (or, predict) how much lower or higher an asset's resource inputs (e.g., fuel) and/or outputs (e.g., emissions) could be in comparison to the asset's current resource inputs and/or outputs. AI generated baseline predictions can be broken down into several different levels (e.g., facility level down to the asset level) so that it is clear where the most significant opportunities for resource savings lie, and the system can perform optimizations (e.g., trigger corrective actions) to achieve those resource savings.
    Type: Application
    Filed: June 1, 2024
    Publication date: December 5, 2024
    Applicant: C3.ai, Inc.
    Inventors: Varun Badrinath Krishna, Burton Mayer, Christian Giovanelli, David Michael Schmaier, Ivan Robles Munoz, Naoufal Layad, Saikiran Maddela, Ye Chan Kim
  • Publication number: 20240403046
    Abstract: A method for processing a tensor is described including obtaining a first register for a number of items in the tensor. One or more second registers for a number of items in a first and a second axis of the tensor are obtained. A stride in the first and the second axis is obtained A next item in the tensor is obtained using the stride in the first axis and a first offset register, when the first register indicates the tensor has additional items to process and the second registers indicate the next item resides in the first axis. A next item in the tensor is obtained using the stride in the first axis and the second axis, the first offset register, and a second offset register. The first register and a second register is modified. The first and the second offset registers are modified.
    Type: Application
    Filed: January 25, 2024
    Publication date: December 5, 2024
    Applicant: Celestial AI Inc.
    Inventor: Philip WINTERBOTTOM
  • Publication number: 20240403658
    Abstract: Machine learning model optimization explainability application is provides explanations (e.g., natural language explanations) for the operations and decisions associated with an optimization model (e.g., optimization algorithm) used to solve an optimization problem. More specifically, the software application for machine learning model optimization explainability enables explainability for a query that determine how the solution was generated. The system can provide a query response (e.g., natural language explanation), and perform a variety of different actions to address any issues surfaced in the query response.
    Type: Application
    Filed: May 30, 2024
    Publication date: December 5, 2024
    Applicant: C3.ai, Inc.
    Inventors: Fabian Rigterink, Zhaoxi Zhang, Zhaoyang Jin, Utsav Dutta
  • Publication number: 20240404649
    Abstract: A property of interest for a biopolymer is predicted using a combined model that includes a foundation model and a task-specific model. The foundation model is trained at least in part using chemical mapping data and generates embeddings from biopolymer sequences. The task-specific model takes an embedding generated by the foundation model for a sequence and generates a prediction of whether the corresponding biopolymer molecule has a target property.
    Type: Application
    Filed: June 4, 2024
    Publication date: December 5, 2024
    Applicant: Atomic AI, Inc.
    Inventors: Nicholas Ranieri BOYD, Stephan Johannes EISMANN, Raphael John LAMARRE TOWNSHEND, Brent TOWNSHEND, Brandon Micheal ANDERSON
  • Patent number: 12159249
    Abstract: A workflow presentation receives electronic object from multiple sources, such as electronic messaging systems and document management systems. The system develops a hypergraph representation of the objects in which the objects appear, individually or in clusters, as edges along various rails of the hypergraph. Each rail represents a workstream to provide a visual representation of the electronic objects that are associated with one or more workstreams of a project.
    Type: Grant
    Filed: October 2, 2023
    Date of Patent: December 3, 2024
    Assignee: Sidetrack AI, Inc.
    Inventors: Eric A. Cheek, Jr., Matthew T. Wilkinson
  • Patent number: 12160161
    Abstract: Described herein are immersion-cooled axial flux electric motors and methods of operating thereof. An immersion-cooled axial flux electric motor comprises a rotor and an immersion-cooled stator. The rotor comprises a set of magnets and a magnet support plate extending perpendicular to the motor axis. The set of magnets is attached to the magnet support plate and distributed about on the motor axis. The immersion-cooled stator comprises a cooling-fluid inlet, a cooling-fluid outlet, a set of stator windings, and a stator-sealed space. The set of stator windings is positioned within the stator-sealed space proximate to the set of magnets such that during the operation of the motor magnetic flux between the set of stator windings and the set of magnets is aligned substantially parallel to the axis of rotation of the rotor. The cooling-fluid inlet and the cooling-fluid outlet are fluidically coupled to the stator-sealed space.
    Type: Grant
    Filed: February 7, 2024
    Date of Patent: December 3, 2024
    Assignee: DIMAAG-AI, Inc.
    Inventors: Ian Wright, Brandon Stitt
  • Publication number: 20240394894
    Abstract: Techniques are disclosed for analyzing and learning behavior in an acquired stream of video frames. In one embodiment, a trajectory analyzer clusters trajectories of objects depicted in video frames and builds a trajectory model including the trajectory clusters, a prior probability of assigning a trajectory to each cluster, and an intra-cluster probability distribution indicating the probability that a trajectory mapping to each cluster is least various distances away from the cluster. Given a new trajectory, a score indicating how unusual the trajectory is may be computed based on the product of the probability of the trajectory mapping to a particular cluster and the intra-cluster probability of the trajectory being a computed distance from the cluster. The distance used to match the trajectory to the cluster and determine intra-cluster probability is computed using a parallel Needleman-Wunsch algorithm, with cells in antidiagonals of a matrix and connected sub-matrices being computed in parallel.
    Type: Application
    Filed: July 30, 2024
    Publication date: November 28, 2024
    Applicant: Intellective Ai, Inc.
    Inventors: Gang XU, Ming-Jung SEOW, Tao YANG, Wesley Kenneth COBB
  • Publication number: 20240395404
    Abstract: Embodiments provide systems and methods for supporting a medical assessment of a target digital entity. To facilitate the medical assessment, a numerical representation of a target digital entity is generated based on at least a portion of source data associated with the target digital entity, and the numerical representation of the target digital entity is compared to numerical representations of a plurality of digital entities to generate similarity values. Each of the similarity values representing a correspondence between the numerical representations of the target digital entity and the plurality of digital entities. Based on the similarity values, one or more candidate digital entities that are similar to the target digital entity are identified. In some aspects, keywords associated with the target digital entity are used to identify an article associated with a diagnosis or treatment of the target digital entity.
    Type: Application
    Filed: May 24, 2024
    Publication date: November 28, 2024
    Applicant: C3.ai, Inc.
    Inventors: Varun Badrinath Krishna, Natasha Woods, Nicholas Siebenlist, Sina Malekian, Matthew Scharf, Sharareh Noorbaloochi