公开(公告)号：US12023816B2

公开(公告)日：2024-07-02

申请号：US17200442

申请日：2021-03-12

申请人： NDSU RESEARCH FOUNDATION

发明人： Dean C. Webster ,  Alireza Rahimi

IPC分类号： B25J9/16 ,  B25J15/00 ,  B25J15/06 ,  C09D5/16 ,  C09D183/10 ,  G06F18/21 ,  G06F18/214 ,  G06T7/00 ,  G06T7/62 ,  G06T7/70

CPC分类号： B25J9/1687 ,  B25J9/1612 ,  B25J9/163 ,  B25J15/0014 ,  B25J15/0616 ,  B25J15/0683 ,  C09D5/1675 ,  C09D5/1687 ,  C09D183/10 ,  G06F18/214 ,  G06F18/217 ,  G06T7/0004 ,  G06T7/62 ,  G06T7/70 ,  B65G2201/0264 ,  G06T2207/10028 ,  G06T2207/30112

摘要： The invention relates to a curable coating composition comprising at least one surface-modifying amphiphilic additive and at least one siloxane-polyurethane coating composition. The invention also relates to methods of making and using the curable coating composition of the invention. The invention also relates to methods for reducing or preventing biofouling of a surface exposed to an aqueous environment comprising the use of the curable coating composition of the invention.

公开(公告)号：US20240202572A1

公开(公告)日：2024-06-20

申请号：US18066361

申请日：2022-12-15

申请人： Capital One Services, LLC

发明人： Tania Cruz MORALES ,  Haytham Yaghi ,  Shannon Yogerst

IPC分类号： G06N20/00 ,  G06F18/21

CPC分类号： G06N20/00 ,  G06F18/217

摘要： Systems and methods for documenting label versions for machine learning model input datasets are disclosed herein. The system may receive a label modification request for a dataset. The system may determine a dataset identifier and model error indicator. The system may determine a modification timestamp. The system may generate a label record and generate the label record in a label record database.

公开(公告)号：US20240193942A1

公开(公告)日：2024-06-13

申请号：US18582405

申请日：2024-02-20

申请人： Magic Leap, Inc.

发明人： Ravi Kumar Komanduri ,  Chulwoo Oh ,  Kevin Messer ,  Ioannis Papadopoulos

IPC分类号： G06V20/20 ,  G02B27/01 ,  G06F18/10 ,  G06F18/21 ,  G06F18/22 ,  G06N20/00 ,  G06T3/18 ,  G06V20/62

CPC分类号： G06V20/20 ,  G02B27/0172 ,  G06F18/10 ,  G06F18/217 ,  G06F18/22 ,  G06N20/00 ,  G06T3/18 ,  G06V20/62 ,  G02B2027/0114 ,  G02B2027/0134

摘要： A pupil separation system includes an input surface and a central portion including one or more dichroic mirrors. The pupil separation system also includes a reflective surface disposed laterally with respect to the central portion and an output surface including a central surface operable to transmit light in a first wavelength range and a peripheral surface operable to transmit light in a second wavelength range different from the first wavelength range. The light in the second wavelength range is reflected by the one or more dichroic mirrors before being reflected by the reflective surface.

公开(公告)号：US12006541B2

公开(公告)日：2024-06-11

申请号：US18059182

申请日：2022-11-28

申请人： Peptilogics, Inc.c

发明人： Francis Lee ,  Jonathan D. Steckbeck ,  Hannes Holste

IPC分类号： C12Q1/6869 ,  G06F18/21 ,  G06F18/214 ,  G06N20/20 ,  G16B30/00 ,  G16B35/10 ,  G16B40/00

CPC分类号： C12Q1/6869 ,  G06F18/214 ,  G06F18/217 ,  G06N20/20 ,  G16B30/00 ,  G16B35/10 ,  G16B40/00

摘要： In one aspect, a computer-implemented automated flow synthesis platform configured to use an artificial intelligence (AI) engine is disclosed and includes a reaction chamber configured to synthesize a sequence, detectors configured to monitor the synthesis of the sequence in the reaction chamber, wherein the synthesis uses an automated flow process, and a computing device communicatively coupled to the detectors. The computing device receives measurements from the one or more detectors, wherein the measurements comprise a spectral profile at each coupling of each amino acid in the sequence, trains, using training data comprising the measurements, machine learning models to determine a synthesizing recipe that enables the sequence to be synthesized, wherein the synthesizing recipe comprises parameters used during the automated flow process to synthesize the sequence, and controls, using the synthesizing recipe, the synthesis of the sequence in the reaction chamber.

公开(公告)号：US20240177301A1

公开(公告)日：2024-05-30

申请号：US18226482

申请日：2023-07-26

申请人： The Research Foundation for The State University of New York

发明人： Joel Haskin SALTZ ,  Tahsin M. KURC ,  Yi GAO ,  Wei ZHU ,  Si WEN ,  Tianhao ZHAO ,  Sampurna SHRESTHA

IPC分类号： G06T7/00 ,  G06F18/21 ,  G06F18/214 ,  G06F18/2431 ,  G06T7/11 ,  G06T7/136 ,  G06T7/41 ,  G06V10/774 ,  G06V20/69

CPC分类号： G06T7/0012 ,  G06F18/214 ,  G06F18/217 ,  G06F18/2431 ,  G06T7/0002 ,  G06T7/11 ,  G06T7/136 ,  G06T7/41 ,  G06V10/774 ,  G06V20/695 ,  G06T2207/20021 ,  G06T2207/20081 ,  G06T2207/30024 ,  G06T2207/30168 ,  G06T2207/30181

摘要： A method of testing an impedance-sensitive system with a switching device, wherein the method comprises: switching the disconnecting device into the on-state configured to permit transmission of energy via the coil; implementing a first measurement with the impedance-sensitive system; switching the disconnecting device into the off-state configured to permit damping of the external positioning signal that couples into the coil so as to reduce the undesirable oscillations of the coil; implementing a second measurement with the impedance-sensitive system; performing a comparison of the first measurement and the second measurement; performing a verification of the comparison with a target specification; and displaying a correct function and/or a malfunction depending on the verification.

公开(公告)号：US20240171610A1

公开(公告)日：2024-05-23

申请号：US18426724

申请日：2024-01-30

申请人： Proofpoint, Inc.

发明人： Brian Sanford Jones ,  Zachary Mitchell Abzug ,  Jeremy Thomas Jordan ,  Giorgi Kvernadze ,  Dallan Quass

IPC分类号： H04L9/40 ,  G06F16/51 ,  G06F16/955 ,  G06F18/21 ,  G06F18/213 ,  G06F21/56 ,  G06N3/08 ,  G06N20/00 ,  G06N20/10

CPC分类号： H04L63/1483 ,  G06F16/51 ,  G06F16/9566 ,  G06F18/213 ,  G06F18/217 ,  G06F21/56 ,  G06N3/08 ,  G06N20/00 ,  G06N20/10 ,  H04L63/1408 ,  H04L63/1416 ,  H04L63/1441 ,  G06V2201/09

摘要： Aspects of the disclosure relate to detecting and identifying malicious sites using machine learning. A computing platform may receive a uniform resource locator (URL). The computing platform may parse and/or tokenize the URL to reduce the URL into a plurality of components. The computing platform may identify human-engineered features of the URL. The computing platform may compute a vector representation of the URL to identify deep learned features of the URL. The computing platform may concatenate the human-engineered features of the URL to the deep learned features of the URL, resulting in a concatenated vector representation. By inputting the concatenated vector representation of the URL to a URL classifier, the computing platform may compute a phish classification score. In response to determining that the phish classification score exceeds a first phish classification threshold, the computing platform may cause a cybersecurity server to perform a first action.

公开(公告)号：US11991439B2

公开(公告)日：2024-05-21

申请号：US17443244

申请日：2021-07-22

申请人： ALIGN TECHNOLOGY, INC.

发明人： Christopher E. Cramer ,  Rajiv Venkata ,  Leela Parvathaneni ,  Phillip Thomas Harris ,  Sravani Gurijala ,  Svetozar Hubenov ,  Sebastien Hareng ,  Guotu Li ,  Yun Gao ,  Chad Clayton Brown

IPC分类号： A61C7/08 ,  A61B1/24 ,  A61B5/00 ,  A61C7/00 ,  A61C7/14 ,  A61C9/00 ,  G06F18/21 ,  G06F18/2415 ,  G06F18/2431 ,  G06N3/04 ,  G06N3/042 ,  G06N3/08 ,  G06T7/00 ,  G06T7/246 ,  G06T7/30 ,  G06T7/60 ,  G06T7/70 ,  G06T7/73 ,  G06T7/80 ,  G06T17/00 ,  G06T17/20 ,  G06T19/00 ,  G06V10/44 ,  G06V10/56 ,  G06V10/98 ,  G16H10/60 ,  G16H20/40 ,  G16H30/40 ,  G16H40/20 ,  G16H50/20 ,  G16H50/50 ,  G16H70/20 ,  G16H80/00 ,  H04N23/60

CPC分类号： H04N23/64 ,  A61B1/24 ,  A61B5/0088 ,  A61C7/002 ,  A61C7/08 ,  A61C7/146 ,  A61C9/0053 ,  G06F18/217 ,  G06F18/2415 ,  G06F18/2431 ,  G06N3/04 ,  G06N3/042 ,  G06N3/08 ,  G06T7/0012 ,  G06T7/0014 ,  G06T7/251 ,  G06T7/30 ,  G06T7/60 ,  G06T7/70 ,  G06T7/74 ,  G06T7/80 ,  G06T17/00 ,  G06T17/20 ,  G06T19/00 ,  G06V10/443 ,  G06V10/56 ,  G06V10/98 ,  G16H10/60 ,  G16H20/40 ,  G16H30/40 ,  G16H40/20 ,  G16H50/20 ,  G16H50/50 ,  G16H70/20 ,  G16H80/00 ,  G06T2200/24 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30036 ,  G06T2207/30244 ,  G06T2210/41 ,  G06V2201/03

摘要： A method for dental treatment may include receiving photos of a patient's dentition, gathering treatment parameters for at treatment plan. The treatment parameters may represent attributes of the treatment plan selected by a doctor for the patient's dentition of a patient. The method may include generating, using the photos and the treatment parameters, one or more intelligent guidance rules to guide application of at least a portion of the treatment parameters to the patient's dentition, generating instructions to apply the intelligent patient guidance rules to the patient's dentition, and providing the instructions to the patient to apply the at least a portion of the treatment plan in accordance with the intelligent patient guidance rules.

公开(公告)号：US11989928B2

公开(公告)日：2024-05-21

申请号：US16921030

申请日：2020-07-06

申请人： FANUC CORPORATION

发明人： Yuta Namiki

IPC分类号： G06V10/774 ,  G06F18/21 ,  G06F18/214

CPC分类号： G06V10/774 ,  G06F18/214 ,  G06F18/217 ,  G06V2201/06

摘要： An image processing system that detects a picture of an object from an image in which the object is captured includes: a first detector that detects a picture of the object from the image based on a model pattern representing a feature of the picture of the object; a learning device that learns a learning model using the image used for detection by the first detector as input data, and using a detection result by the first detector as training data; and a second detector that detects the picture of the object from the image based on the learning model learned by the learning device.

公开(公告)号：US11989627B1

公开(公告)日：2024-05-21

申请号：US16915871

申请日：2020-06-29

申请人： Amazon Technologies, Inc.

发明人： Aditya Vinayak Bhise ,  Harnish Botadra ,  Jae Sung Jang ,  Jakub Zablocki ,  Jianbo Liu ,  Nikolay Kolotey ,  Prince Grover ,  Tanay Bhargava ,  Thiago Goes Arjona ,  Christopher Zachariah Jost

IPC分类号： G06N20/00 ,  G06F18/21 ,  G06F18/2113 ,  G06N5/025 ,  G06N5/04 ,  G06N5/046

CPC分类号： G06N20/00 ,  G06F18/2113 ,  G06F18/2163 ,  G06F18/217 ,  G06N5/025 ,  G06N5/04 ,  G06N5/046

摘要： Various embodiments of apparatuses and methods for an automated machine learning pipeline service and an automated machine learning pipeline generator are described. In some embodiments, the service receives a request from a user to generate a machine learning solution, as well as a dataset that comprises values with different user variable types, and mapping of the user variable types to pre-defined types. The generator can validate the dataset, enrich the values of the dataset using external data sources, transform values of the dataset based on the pre-defined types, train a machine learning model using the enriched and transformed values, and compose an executable package, comprising enrichment recipes, transformation recipes, and the trained machine learning model, that generates scores for other data when executed. The service can further test the executable package using testing data, and provide results of the test to the user.

公开(公告)号：US11983951B2

公开(公告)日：2024-05-14

申请号：US17294810

申请日：2019-11-08

申请人： OMRON Corporation

发明人： Kiyoaki Tanaka ,  Ayana Tsuji ,  Jumpei Matsunaga

IPC分类号： G06V40/10 ,  G06F18/21 ,  G06F18/25 ,  G06V20/52 ,  H04N7/18

CPC分类号： G06V40/103 ,  G06F18/217 ,  G06F18/25 ,  G06V20/52 ,  H04N7/18

摘要： A human detection device configured to analyze a fisheye image obtained by a fisheye camera installed above a to-be-detected area to detect a person existing in the to-be-detected area includes a head detector configured to detect at least one head candidate from the fisheye image by using an algorithm for detecting a human head, a human body detector configured to detect at least one human body candidate from the fisheye image by using an algorithm for detecting a human body, and a determining unit configured to determine, as a person, a pair satisfying a prescribed condition among pairs of the head candidate and the human body candidate formed of a combination of a detection result from the head detector and a detection result from the human body detector.