Marshall Anessa A Jones

US Patent:

20210096710, Apr 1, 2021

Filed:

Dec 14, 2020

Appl. No.:

17/120905

Inventors:

- New York NY, US
Keith ITO - New York NY, US
Marshall JONES - New York NY, US
Daniel KANTOR - New York NY, US
Matthew ZEILER - New York NY, US

International Classification:

G06F 3/0484

Abstract:

In certain implementations, a user request to add a new concept may be received. A set of media item recommendations may be caused to be loaded on a user interface for presentation to a user responsive to the user request to add the new concept. The media item recommendation set may include a set of recommendations loaded on an on-screen portion of the user interface and a set of recommendations loaded on an off-screen portion of the user interface. The on-screen user interface portion is visible to the user at a first time. The off-screen user interface portion is not being visible to the user at the first time. A user selection of one or more recommendations of the on-screen recommendation set is received. The off-screen recommendation set may be caused to be updated on the user interface during the presentation of the media item recommendation set based on the user recommendation selection.

US Patent:

20210081726, Mar 18, 2021

Filed:

Dec 1, 2020

Appl. No.:

17/108831

Inventors:

- New York NY, US
Matthew ZEILER - New York NY, US
Marshall JONES - New York NY, US

International Classification:

G06K 9/66
G06T 7/174
G06N 3/04

Abstract:

In some embodiments, reduction of computational resource usage related to image labeling and/or segmentation may be facilitated. In some embodiments, a collection of images may be used to train one or more prediction models. Based on a presentation of an image on a user interface, an indication of a target quantity of superpixels for the image may be obtained. The image may be provided to a first prediction model to cause the prediction model to predict a quantity of superpixels for the image. The target quantity of superpixels may be provided to the first model to update the first model's configurations based on (i) the predicted quantity and (ii) the target quantity. A set of superpixels may be generated for the image based on the target quantity, and segmentation information related to the superpixels set may be provided to a second prediction model to update the second model's configurations.

US Patent:

20200197562, Jun 25, 2020

Filed:

Apr 27, 2018

Appl. No.:

16/608830

Inventors:

- ESSEN, DE
Gianluigi Luppi - Düsseldorf, DE
Natalia Ruggeri Savietto - Whippany NJ, US
Howard K. Bowman III - Birmingham AL, US
Paul Joseph Spencer - Oberursel, DE
Andreas Karau - Gelnhausen, DE
Jian-Feng Zhang - Vestavia AL, US
Rosario Lizio - Dieburg, DE
Marshall Scott Jones - Bessemer AL, US

International Classification:

A61L 24/00
A61L 24/04
A61L 27/18
A61L 27/58
A61L 27/54
A61B 17/00
A61F 2/00
C08G 63/685
C08G 63/692
C08G 63/695
B33Y 70/00
B29C 64/106

Abstract:

The present invention is directed to bioresorbable polymers to be used as bone and tissue adhesives. The present invention is also directed to the synthesis of bioresorbable polymeric molecules bearing adhesive moieties and the use of such compounds in methods to glue and stabilize fractured bones and damaged tissues. The present invention is also directed to the use of such compounds as adhesive sealants for applications in wound care. The present invention is also directed to the use of such compounds as biodegradable ink for applications in tissue engineering and 3D printing. The present invention also relates to the use of such compounds as drug delivery platforms.

US Patent:

20200193246, Jun 18, 2020

Filed:

Dec 18, 2018

Appl. No.:

16/223947

Inventors:

- New York NY, US
Matthew Zeiler - New York NY, US
Marshall Jones - New York NY, US

International Classification:

G06K 9/66
G06N 3/04
G06T 7/174

Abstract:

In some embodiments, reduction of computational resource usage related to image labeling and/or segmentation may be facilitated. In some embodiments, a collection of images may be used to train one or more prediction models. Based on a presentation of an image on a user interface, an indication of a target quantity of superpixels for the image may be obtained. The image may be provided to a first prediction model to cause the prediction model to predict a quantity of superpixels for the image. The target quantity of superpixels may be provided to the first model to update the first model's configurations based on (i) the predicted quantity and (ii) the target quantity. A set of superpixels may be generated for the image based on the target quantity, and segmentation information related to the superpixels set may be provided to a second prediction model to update the second model's configurations.

US Patent:

20180089592, Mar 29, 2018

Filed:

Sep 26, 2017

Appl. No.:

15/715460

Inventors:

- New York NY, US
Daniel KANTOR - New York NY, US
Marshall JONES - New York NY, US
Christopher FOX - New York NY, US

International Classification:

G06N 99/00
G06F 17/30

Abstract:

In some embodiments, user-selectable/connectable model representations may be provided via a user interface to facilitate artificial intelligence development. The model representations may comprises first and second machine learning model (ML) representations corresponding to first and second ML models, and non-ML model representations corresponding to non-ML models. Based on user input indicating selection of the first and second ML model representations and a non-ML model representation corresponding to a non-ML model, at least a portion of a software application may be generated such that the software application comprises (i) an instance of the first ML model, an instance of the second ML model, and an instance of the non-ML model and (ii) an input/output data path between the instance of the first ML model and at least one other instance, the at least one other instance comprising the instance of the second ML model or the instance of the non-ML model.

US Patent:

20170161631, Jun 8, 2017

Filed:

Dec 5, 2016

Appl. No.:

15/369735

Inventors:

- New York NY, US
Keith Ito - New York NY, US
Marshall Jones - New York NY, US
Daniel Kantor - New York NY, US
Matthew Zeiler - New York NY, US

International Classification:

G06N 7/02
G06F 3/0484

Abstract:

In certain implementations, a user request to add a new concept may be received. A set of media item recommendations may be caused to be loaded on a user interface for presentation to a user responsive to the user request to add the new concept. The media item recommendation set may include a set of recommendations loaded on an on-screen portion of the user interface and a set of recommendations loaded on an off-screen portion of the user interface. The on-screen user interface portion is visible to the user at a first time. The off-screen user interface portion is not being visible to the user at the first time. A user selection of one or more recommendations of the on-screen recommendation set is received. The off-screen recommendation set may be caused to be updated on the user interface during the presentation of the media item recommendation set based on the user recommendation selection.