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No. Publication Number Title Publication/Patent Number Publication/Patent Number Publication Date Publication Date
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1 US2020066415A1
INTERFACES DISPLAYING PATIENT DATA
Publication/Patent Number: US2020066415A1 Publication Date: 2020-02-27 Application Number: 16/674,735 Filing Date: 2019-11-05 Inventor: Hettig, Mark F.   Haldane, Justin   Browne, Karrie   Assignee: Hill-Rom Services, Inc.   IPC: G16H80/00 Abstract: An example mobile computing device can include: an engine programmed to receive one or more sources of patient data that provide patient identification information, vital signs information, alert information, and task information; and a display of the mobile device that renders a screen having: a first window having a listing of patients assigned to a caregiver; a second window having a plurality of vital signs and an early warning score associated with a patient of the caregiver. An example mobile computing device can include: an engine programmed to receive one or more sources of patient data that provide patient identification information, vital signs information, alert information, and task information; and a display of the mobile device that renders ...More ...Less
2 US10540613B2
Searchable database of trained artificial intelligence objects that can be reused, reconfigured, and recomposed, into one or more subsequent artificial intelligence models
Publication/Patent Number: US10540613B2 Publication Date: 2020-01-21 Application Number: 15/417,075 Filing Date: 2017-01-26 Inventor: Hammond, Mark Isaac   Browne, Keen Mcewan   Campos, Marcos   Brown, Matthew James   Kong, Ruofan   Guss, William   Story, Ross   Assignee: Bonsai AI, Inc.   IPC: G06N20/00 Abstract: An AI database hosted on cloud platform is configured to cooperate with a search engine and an AI engine. The AI database stores and indexes trained AI objects and its class of AI objects have searchable criteria. The AI database cooperates with the search engine to utilize search criteria supplied from a user, from either or both 1) via scripted software code and 2) via data put into defined fields of a user interface. The search engine utilizes the search criteria in order for the search engine to retrieve one or more AI data objects that have already been trained as query results. The AI database is coupled to an AI engine to allow any of reuse, reconfigure ability, and recomposition of the one or more trained AI data objects from the AI database into a new trained AI model. An AI database hosted on cloud platform is configured to cooperate with a search engine and an AI engine. The AI database stores and indexes trained AI objects and its class of AI objects have searchable criteria. The AI database cooperates with the search engine to utilize ...More ...Less
3 US10586173B2
Searchable database of trained artificial intelligence objects that can be reused, reconfigured, and recomposed, into one or more subsequent artificial intelligence models
Publication/Patent Number: US10586173B2 Publication Date: 2020-03-10 Application Number: 15/417,075 Filing Date: 2017-01-26 Inventor: Hammond, Mark Isaac   Browne, Keen Mcewan   Campos, Marcos   Brown, Matthew James   Kong, Ruofan   Guss, William   Story, Ross   Assignee: Bonsai AI, Inc.   IPC: G06N20/00 Abstract: An AI database hosted on cloud platform is configured to cooperate with a search engine and an AI engine. The AI database stores and indexes trained AI objects and its class of AI objects have searchable criteria. The AI database cooperates with the search engine to utilize search criteria supplied from a user, from either or both 1) via scripted software code and 2) via data put into defined fields of a user interface. The search engine utilizes the search criteria in order for the search engine to retrieve one or more AI data objects that have already been trained as query results. The AI database is coupled to an AI engine to allow any of reuse, reconfigure ability, and recomposition of the one or more trained AI data objects from the AI database into a new trained AI model. An AI database hosted on cloud platform is configured to cooperate with a search engine and an AI engine. The AI database stores and indexes trained AI objects and its class of AI objects have searchable criteria. The AI database cooperates with the search engine to utilize ...More ...Less
4 EP3585316A1
HIP IMPLANT SYSTEM
Title (English): Liver Implantation System
Publication/Patent Number: EP3585316A1 Publication Date: 2020-01-01 Application Number: 18709870.2 Filing Date: 2018-02-22 Inventor: Meneghini, R. Michael   Sporer, Scott   Taunton, Michael   Browne, James Andrew   Kim, Raymond   Edwards, Paul K.   Mason, Michael   Jankiewicz, Joseph   Mcbride, Mark   Axelson, Jr. Stuart L.   Shallenberg, Adam   Assignee: Encore Medical LP Dba DJO Surgical   IPC: A61F2/36
5 US10489795B2
Determining relative effectiveness of media content items
Publication/Patent Number: US10489795B2 Publication Date: 2019-11-26 Application Number: 12/618,950 Filing Date: 2009-11-16 Inventor: Klein, Mark D.   Browne, Jason   Paterson, Craig Dougal   Assignee: The Nielsen Company (US), LLC   IPC: G06Q30/02 Abstract: The effectiveness of advertisements with respect to a group of panelists is measured. Based on the results of such analysis, advertisements and/or variants thereof are selected for presentation to consumers. Effectiveness of advertisements may be measured by detecting exposure to advertisements, and then monitoring panelist behavior following exposure to an advertisement. A group of panelists may be a representative sample of a larger population, so that observations of panelist behavior can be used as a basis for making decisions regarding presentation of advertisements to a larger audience having characteristics similar to those of the panelists. Once the relative effectiveness for various audiences has been determined, advertisements can be selected for presentation to individual consumers or to groups of consumers, so as to maximize effectiveness. Such analysis and selection may be performed substantially in real-time. The effectiveness of advertisements with respect to a group of panelists is measured. Based on the results of such analysis, advertisements and/or variants thereof are selected for presentation to consumers. Effectiveness of advertisements may be measured by detecting exposure ...More ...Less
6 US2018287911A1
RESOURCE MONITORING
Publication/Patent Number: US2018287911A1 Publication Date: 2018-10-04 Application Number: 15/475,864 Filing Date: 2017-03-31 Inventor: Gray, Mark D.   Browne, John J.   Tahhan, Maryam   Assignee: Intel Corporation   IPC: H04L12/26 Abstract: Particular embodiments described herein provide for a network element that can be configured to receive a link monitoring message, determine one or more resources associated with the link monitoring message, determine a status of each of the one or more resources, and send a response that provides an indication of the status of each of the one or more resources. In an example, the link monitoring is part of a bidirectional forwarding detection packet. Particular embodiments described herein provide for a network element that can be configured to receive a link monitoring message, determine one or more resources associated with the link monitoring message, determine a status of each of the one or more resources, and send a ...More ...Less
7 EP3408750A1
ARTIFICIAL INTELLIGENCE ENGINE CONFIGURED TO WORK WITH A PEDAGOGICAL PROGRAMMING LANGUAGE FOR TRAINING TRAINED ARTIFICIAL INTELLIGENCE MODELS
Publication/Patent Number: EP3408750A1 Publication Date: 2018-12-05 Application Number: 17745025.1 Filing Date: 2017-01-27 Inventor: Hammond, Mark Isaac   Browne, Keen Mcewan   Adams, Megan   Assignee: Bonsai AI, Inc.   IPC: G06F15/18
8 EP3297518A1
VIDEO LARYNGOSCOPES
Publication/Patent Number: EP3297518A1 Publication Date: 2018-03-28 Application Number: 16722911.1 Filing Date: 2016-05-17 Inventor: Dixon, Phillip William   Browne, Mark Richard   Miller, Andrew Neil   Assignee: Intersurgical AG   IPC: A61B1/267
9 US2018153389A1
VIDEO LARYNGOSCOPES
Publication/Patent Number: US2018153389A1 Publication Date: 2018-06-07 Application Number: 15/575,606 Filing Date: 2016-05-17 Inventor: Miller, Andrew Neil   Browne, Mark Richard   Dixon, Phillip William   Assignee: INTERSURGICAL AG   IPC: A61B1/00 Abstract: A laryngoscope (10) having a body (20, 42) including a handle, a laryngoscope blade (22) extending from a distal end of the body (20, 42), and a display screen housing (18) extending from a proximal end of the body (20, 42). The laryngoscope (10) has at least one unitary housing component (12) that defines at least a portion of each of the body (20, 42), the laryngoscope blade (22) and the display screen housing (18). A laryngoscope (10) having a body (20, 42) including a handle, a laryngoscope blade (22) extending from a distal end of the body (20, 42), and a display screen housing (18) extending from a proximal end of the body (20, 42). The laryngoscope (10) has at least one unitary housing ...More ...Less
10 US2018088977A1
TECHNIQUES TO DETERMINE AND MITIGATE LATENCY IN VIRTUAL ENVIRONMENTS
Publication/Patent Number: US2018088977A1 Publication Date: 2018-03-29 Application Number: 15/279,380 Filing Date: 2016-09-28 Inventor: Leckey, Alexander   Laurent, Pierre   Browne, John   Macnamara, Chris   Cunningham, Andrew   Gray, Mark   Assignee: LECKEY, ALEXANDER   LAURENT, PIERRE   BROWNE, JOHN   MACNAMARA, CHRIS   CUNNINGHAM, ANDREW   GRAY, MARK   IPC: G06F9/455 Abstract: Embodiments may be generally directed to techniques to cause communication of one or more packets from one or more network interfaces to one or more other network interfaces through a virtual machine monitor, determine at least one of latency and jitter for the virtual machine monitor based, at least in part, on each of the one or more packets communicated through the virtual machine monitor, and perform a corrective action when at least one of the latency and the jitter does not meet a requirement for a virtual machine on the virtual machine monitor. Embodiments may be generally directed to techniques to cause communication of one or more packets from one or more network interfaces to one or more other network interfaces through a virtual machine monitor, determine at least one of latency and jitter for the virtual machine ...More ...Less
11 WO2018063668A1
TECHNIQUES TO DETERMINE AND MITIGATE LATENCY IN VIRTUAL ENVIRONMENTS
Publication/Patent Number: WO2018063668A1 Publication Date: 2018-04-05 Application Number: 2017049112 Filing Date: 2017-08-29 Inventor: Browne, John   Leckey, Alexander   Cunningham, Andrew   Laurent, Pierre   Macnamara, Chris   Gray, Mark   Assignee: Intel Corporation   IPC: G06F9/455 Abstract: Embodiments may be generally directed to techniques to cause communication of one or more packets from one or more network interfaces to one or more other network interfaces through a virtual machine monitor, determine at least one of latency and jitter for the virtual machine monitor based, at least in part, on each of the one or more packets communicated through the virtual machine monitor, and perform a corrective action when at least one of the latency and the jitter does not meet a requirement for a virtual machine on the virtual machine monitor. Embodiments may be generally directed to techniques to cause communication of one or more packets from one or more network interfaces to one or more other network interfaces through a virtual machine monitor, determine at least one of latency and jitter for the virtual machine ...More ...Less
12 US2018293517A1
ARTIFICIAL INTELLIGENCE ENGINE FOR MIXING AND ENHANCING FEATURES FROM ONE OR MORE TRAINED PRE-EXISTING MACHINE-LEARNING MODELS
Publication/Patent Number: US2018293517A1 Publication Date: 2018-10-11 Application Number: 16/009,153 Filing Date: 2018-06-14 Inventor: Browne, Keen Mcewan   Campos, Marcos   Adams, Megan   Hammond, Mark   Frye, Tod   Assignee: Bonsai Al, Inc.   IPC: G06N99/00 Abstract: An AI engine having an architect module to create a number of nodes and how the nodes are connected in a graph of concept nodes that make up a resulting AI model. The architect module also creates a first concept node by wrapping an external entity of code into a software container with an interface configured to exchange information in a protocol of a software language used by the external entity of code. The architect module also creates a second concept node derived from its description in a scripted file coded in a pedagogical programming language, and connects the second concept node into the graph of nodes in the resulting AI model. An AI engine having an architect module to create a number of nodes and how the nodes are connected in a graph of concept nodes that make up a resulting AI model. The architect module also creates a first concept node by wrapping an external entity of code into a software ...More ...Less
13 EP3408739A1
TRAINED ARTIFICIAL INTELLIGENCE OBJECTS THAT CAN BE REUSED, RECONFIGURED, AND RECOMPOSED INTO ARTIFICIAL INTELLIGENCE MODELS
Publication/Patent Number: EP3408739A1 Publication Date: 2018-12-05 Application Number: 17745030.1 Filing Date: 2017-01-27 Inventor: Hammond, Mark Isaac   Browne, Keen Mcewan   Campos, Marcos   Brown, Matthew James   Kong, Ruofan   Guss, William   Story, Ross   Assignee: Bonsai AI, Inc.   IPC: G06F9/45
14 US2018235763A1
HIP IMPLANT SYSTEM
Publication/Patent Number: US2018235763A1 Publication Date: 2018-08-23 Application Number: 15/901,823 Filing Date: 2018-02-21 Inventor: Shallenberg, Adam   Axelson, Jr. Stuart L.   Mcbride, Mark   Jankiewicz, Joseph   Mason, Michael   Edwards, Paul K.   Kim, Raymond   Browne, James Andrew   Taunton, Michael   Sporer, Scott   Meneghini, R. Michael   Assignee: Encore Medical, L.P. (D/B/A DJO Surgical)   IPC: A61F2/36 Abstract: Hip implant systems described herein can include a distal stem, a proximal body, and a fastener. In some embodiments, the distal stem can include a cavity configured to receive the fastener when a portion of the distal stem is positioned within the proximal body. In some embodiments, the distal stem can include a threaded exterior surface configured to mate with a fastener when a portion of the distal stem is positioned within the proximal body. In some embodiments, a distal end of the distal stem can include an anterior relief configured to conform to interior surface of a femoral canal of a patient. Hip implant systems described herein can include a distal stem, a proximal body, and a fastener. In some embodiments, the distal stem can include a cavity configured to receive the fastener when a portion of the distal stem is positioned within the proximal body. In some ...More ...Less
15 WO2017132584A1
ARTIFICIAL INTELLIGENCE ENGINE CONFIGURED TO WORK WITH A PEDAGOGICAL PROGRAMMING LANGUAGE FOR TRAINING TRAINED ARTIFICIAL INTELLIGENCE MODELS
Publication/Patent Number: WO2017132584A1 Publication Date: 2017-08-03 Application Number: 2017015460 Filing Date: 2017-01-27 Inventor: Adams, Megan   Hammond, Mark Isaac   Browne, Keen Mcewan   Assignee: BONSAI AI, INC.   IPC: G06F15/18 Abstract: Provided in some embodiments is an artificial intelligence ('Al') engine configured to work with a pedagogical programming language configured to enable an author to 1) define a mental model to be learned by an Al model
16 US2017213126A1
ARTIFICIAL INTELLIGENCE ENGINE CONFIGURED TO WORK WITH A PEDAGOGICAL PROGRAMMING LANGUAGE TO TRAIN ONE OR MORE TRAINED ARTIFICIAL INTELLIGENCE MODELS
Publication/Patent Number: US2017213126A1 Publication Date: 2017-07-27 Application Number: 15/417,056 Filing Date: 2017-01-26 Inventor: Hammond, Mark Isaac   Browne, Keen Mcewan   Adams, Megan   Assignee: Bonsai AI, Inc.   IPC: G06N3/04 Abstract: Provided in some embodiments is an artificial intelligence (“AI”) engine configured to work with a pedagogical programming language configured to enable an author to 1) define a mental model to be learned by an AI model, the mental model including an input, one or more concept nodes, one or more stream nodes, and an output, as well as 2) define one or more curriculums for training the AI model respectively on the one or more concept nodes. A compiler can be configured to generate an assembly code from a source code authored in the pedagogical programming language. An architect module can be configured to propose a neural-network layout from the assembly code. A learner module can be configured to build the AI model the neural-network layout. An instructor module can be configured to train the AI model on the one or more concept nodes respectively with the one or more curriculums. Provided in some embodiments is an artificial intelligence (“AI”) engine configured to work with a pedagogical programming language configured to enable an author to 1) define a mental model to be learned by an AI model, the mental model including an input, one or ...More ...Less